直接序列扩频通信系统中的时变干扰抑制关键技术研究
|
摘要
干扰是影响无线通信系统容量和通信质量的重要因素，直接序列扩频通信技术由于具有良好的抗干扰能力等特点，在军事通信和民用通信领域得到广泛的应用。但是，由于扩频增益的限制，直接序列扩频通信系统本身的抗干扰能力有限，如何在不增加扩频增益的前提下，进一步提高扩频通信系统的抗干扰能力，对于军事通信和民用通信都具有重大的意义。
现有直接序列扩频通信系统抗干扰技术的研究通常假设干扰是时不变的，而在实际系统中，干扰具有时变特性。本文以时变干扰为研究对象，对CDMA系统中的时变单音干扰抑制、时变多音干扰抑制和时变多址干扰抑制进行了研究。
首先，针对时变单音干扰场景，分析了CDMA系统在时变单音干扰下的误码率性能，推导了理论误码率公式，分析了多普勒频移对误码率性能的影响，并通过仿真验证了理论分析的正确性；并且针对时变单音干扰，提出了频域干扰估计时域对消算法，推导了干扰抑制后的理论误码率公式。分析和仿真结果表明，理论分析与仿真结果相吻合，所提算法的误码率性能由干扰功率和多普勒频移等因素决定。在加性白高斯信道中，当信噪比为10dB，扩频增益为16，多普勒频移为100Hz时，所提算法可以抑制30dB的单音干扰。
其次，针对时变多音干扰场景，分析了CDMA系统在时变多音干扰下的误码率性能，推导了理论误码率公式，分析了多普勒频移对误码率性能的影响，并通过仿真验证了理论分析的正确性；并且针对时变多音干扰，提出了频域干扰检测抑制算法。分析与仿真结果表明，所提算法的误码率性能由干扰功率和多普勒频移等因素决定，在加性白高斯信道下，存在三个单音干扰，信噪比为10dB，扩频增益为16，多普勒频移为100Hz时，所提算法可以抑制20dB的多音干扰。
最后，针对CDMA系统中的时变多址干扰，提出了频域干扰抑制合并算法，分析了所提算法在单载波CDMA系统中的误码率下限。所提算法不需要干扰用户和信道的先验信息。仿真结果表明，与频域最大比合并相比，所提的频域干扰抑制合并算法可以降低干扰对系统的影响。在一发两收，存在三个等功率干扰用户，扩频增益为16，误码率为10~(-3)时，所提算法输出的信噪比较频域最大比合并算法提高了2dB。
本文研究了直接序列扩频通信系统中的时变干扰抑制技术，研究丰富了现有的干扰抑制方法，具有理论和实用价值，其结果可以应用于第三代和新一代无线通信系统中。
Interference is the important factor that affects the capacity and quality of thecommunication system, direct sequence spread spectrum (DSSS) communicationsystem has been widely employed in military and civilian communications, for its goodanti-interference capability and other characteristics.However, the capability is relatedto the spreading gain, when the spreading gain is restricted, the anti-interferencecapability is limited. How to improve the anti-interference capability of DSSScommunication system is significant for military and civilian communications withoutthe increasing spreading gain.
Existing activeinterference suppression methods used in DSSS considered that theinterferences are time-invariant. But in some practical scenarios, the interferences havethe characteristic of time-varying.In this paper, time-varying interferenceis studied，including the suppression of time-varying single tone jamming (STJ), the suppression oftime-varying multitone jamming (MTJ), and the suppression of time-varying multipleaccess interference (MAI) in CDMA systems.
First, the BER performance of CDMA in the presence of time-varying STJ isanalyzed. The BER expression is derived and the effect of the Doppler shift on theperformance is discussed. The accuracy of the BER estimation evaluated by theexpression is verified by computer simulations. Furthermore, a frequency cancellationmethod is proposed to suppress the time-varying STJ. The BER expression is analyzedto assess the performance of the proposed method. Simulation results demonstrate theeffectiveness of the method in mitigating time-varying STJ and approaching theinterference-free performance limit over practical ranges of STJ power levels andmobility levels. Under the condition of AWGN channel, whenSNR (Signal-to-NoiseRatio) is10dB,the spreading gain is16, Doppler frequency is100Hz, JSR(Jamming-to-Signal power Ratio) is less than30dB, theSTJ can be suppressed by theproposed method.
Second, the BER performance of CDMA in the presence of time-varying multi-tonejamming (MTJ) is analyzed. The BER expression is derived and the effect of the Doppler shift on the performance is discussed. The accuracy of the BER estimationevaluated by the expression is verified by computer simulations. Besides, a method offrequency domain interference detection is proposed to suppress the time-varying MTJ.The performance of the proposed method is validated by computer simulations, and thesimulation results show that the effectiveness of the proposed method inmitigatingtime-varying MTJ over practical ranges of MTJ power levels and mobilitylevels.Under the condition of AWGN channel,there are three STJ in the systems, SNR is10dB,the spreading gain is16, Doppler frequency is100Hz, JSR is less than20dB,theMTJ can be suppressed by the proposed method.
Finally, a frequency domain interference rejection combining (FD-IRC) algorithm isproposed to suppress the time-varyingMAI for uplink CDMA systems. The theoreticalBER lower bound of the FD-IRC in cyclic prefix CDMA (CP-CDMA) is derived. Theproposed method doesn’t require any priori information about the interfering user andchannel. The simulation results show that the proposed method can improve theperformance of the system compared to frequency domain maximal ratio combining.When there are three interfering users in the system and each of them has the samepower as the desired user, at the BER value of10~(-3), andthe spreading gain is16, theSNR of the proposed method is improved by2dB.
The research in this thesis explores the problem of time-varyinginterferencesuppression techniques for DSSS systems, which extends the existingresearches and has theoretical and practical values. The research results can be appliedto the3G and next generation mobile communication systems.
现有直接序列扩频通信系统抗干扰技术的研究通常假设干扰是时不变的，而在实际系统中，干扰具有时变特性。本文以时变干扰为研究对象，对CDMA系统中的时变单音干扰抑制、时变多音干扰抑制和时变多址干扰抑制进行了研究。
首先，针对时变单音干扰场景，分析了CDMA系统在时变单音干扰下的误码率性能，推导了理论误码率公式，分析了多普勒频移对误码率性能的影响，并通过仿真验证了理论分析的正确性；并且针对时变单音干扰，提出了频域干扰估计时域对消算法，推导了干扰抑制后的理论误码率公式。分析和仿真结果表明，理论分析与仿真结果相吻合，所提算法的误码率性能由干扰功率和多普勒频移等因素决定。在加性白高斯信道中，当信噪比为10dB，扩频增益为16，多普勒频移为100Hz时，所提算法可以抑制30dB的单音干扰。
其次，针对时变多音干扰场景，分析了CDMA系统在时变多音干扰下的误码率性能，推导了理论误码率公式，分析了多普勒频移对误码率性能的影响，并通过仿真验证了理论分析的正确性；并且针对时变多音干扰，提出了频域干扰检测抑制算法。分析与仿真结果表明，所提算法的误码率性能由干扰功率和多普勒频移等因素决定，在加性白高斯信道下，存在三个单音干扰，信噪比为10dB，扩频增益为16，多普勒频移为100Hz时，所提算法可以抑制20dB的多音干扰。
最后，针对CDMA系统中的时变多址干扰，提出了频域干扰抑制合并算法，分析了所提算法在单载波CDMA系统中的误码率下限。所提算法不需要干扰用户和信道的先验信息。仿真结果表明，与频域最大比合并相比，所提的频域干扰抑制合并算法可以降低干扰对系统的影响。在一发两收，存在三个等功率干扰用户，扩频增益为16，误码率为10~(-3)时，所提算法输出的信噪比较频域最大比合并算法提高了2dB。
本文研究了直接序列扩频通信系统中的时变干扰抑制技术，研究丰富了现有的干扰抑制方法，具有理论和实用价值，其结果可以应用于第三代和新一代无线通信系统中。
Interference is the important factor that affects the capacity and quality of thecommunication system, direct sequence spread spectrum (DSSS) communicationsystem has been widely employed in military and civilian communications, for its goodanti-interference capability and other characteristics.However, the capability is relatedto the spreading gain, when the spreading gain is restricted, the anti-interferencecapability is limited. How to improve the anti-interference capability of DSSScommunication system is significant for military and civilian communications withoutthe increasing spreading gain.
Existing activeinterference suppression methods used in DSSS considered that theinterferences are time-invariant. But in some practical scenarios, the interferences havethe characteristic of time-varying.In this paper, time-varying interferenceis studied，including the suppression of time-varying single tone jamming (STJ), the suppression oftime-varying multitone jamming (MTJ), and the suppression of time-varying multipleaccess interference (MAI) in CDMA systems.
First, the BER performance of CDMA in the presence of time-varying STJ isanalyzed. The BER expression is derived and the effect of the Doppler shift on theperformance is discussed. The accuracy of the BER estimation evaluated by theexpression is verified by computer simulations. Furthermore, a frequency cancellationmethod is proposed to suppress the time-varying STJ. The BER expression is analyzedto assess the performance of the proposed method. Simulation results demonstrate theeffectiveness of the method in mitigating time-varying STJ and approaching theinterference-free performance limit over practical ranges of STJ power levels andmobility levels. Under the condition of AWGN channel, whenSNR (Signal-to-NoiseRatio) is10dB,the spreading gain is16, Doppler frequency is100Hz, JSR(Jamming-to-Signal power Ratio) is less than30dB, theSTJ can be suppressed by theproposed method.
Second, the BER performance of CDMA in the presence of time-varying multi-tonejamming (MTJ) is analyzed. The BER expression is derived and the effect of the Doppler shift on the performance is discussed. The accuracy of the BER estimationevaluated by the expression is verified by computer simulations. Besides, a method offrequency domain interference detection is proposed to suppress the time-varying MTJ.The performance of the proposed method is validated by computer simulations, and thesimulation results show that the effectiveness of the proposed method inmitigatingtime-varying MTJ over practical ranges of MTJ power levels and mobilitylevels.Under the condition of AWGN channel,there are three STJ in the systems, SNR is10dB,the spreading gain is16, Doppler frequency is100Hz, JSR is less than20dB,theMTJ can be suppressed by the proposed method.
Finally, a frequency domain interference rejection combining (FD-IRC) algorithm isproposed to suppress the time-varyingMAI for uplink CDMA systems. The theoreticalBER lower bound of the FD-IRC in cyclic prefix CDMA (CP-CDMA) is derived. Theproposed method doesn’t require any priori information about the interfering user andchannel. The simulation results show that the proposed method can improve theperformance of the system compared to frequency domain maximal ratio combining.When there are three interfering users in the system and each of them has the samepower as the desired user, at the BER value of10~(-3), andthe spreading gain is16, theSNR of the proposed method is improved by2dB.
The research in this thesis explores the problem of time-varyinginterferencesuppression techniques for DSSS systems, which extends the existingresearches and has theoretical and practical values. The research results can be appliedto the3G and next generation mobile communication systems.
引文
[1]张春海.直接序列扩频通信系统抗干扰技术研究[D].长沙：国防科技大学,2006,1-2
[2] S. Aldirmaz, L. Durak. Broadband interference excision in spread spectrum communicationsystems based on short-time fourier transformation[J]. Progress in Electromagnetics ResearchB,2008,7:309-320
[3] F. L. Yin, Y. Qin, Y. Gao. Blind RLS prediction and LMS code-aided NBI rejection for CDMAsystems[C]. The5th International Conference on Measuring Technology and MechatronicsAutomation, Hong Kong,2013:345-348
[4] J. H. Xia, J. S. Zhang. A new algorithm of narrow-band interference excision in lappedtransforms domain[C]. International Conference on Communications, Circuits and SysemsProceedings, Guilin,2006,1:234-237
[5] J. T. Yuan, J. N. Lee. Narrow-band interference rejection in DS/CDMA systems using adaptive(QRD-LSL)-based nonlinear ACM interpolators[J]. IEEE Transactions on VehicularTechnology,2003,52(2):374-379
[6] C. Wang, M. D. Ma, R. D. Ying, et al. Narrowband interference mitigation in DS-UWBsystems[J]. IEEE Signal Processing Letters,2010,17(5):429-432
[7] J. D. Laster, J. H. Reed. Interference rejection in digital wireless communications[J]. IEEESignal Processing Magazine,1997,14(3):37-62
[8] H. V. Poor. Active interference suppression in CDMA overlay systems[J]. IEEE Journal onSelected Areas in Communications,2001,19(1):4-20
[9] Q. T. Ho, D. Massicotte. VLSI implementation of an adaptive multiuser detector multirateWCDMA systems[J]. Journal of Signal Processing Systems,2010,61(2):127-139
[10] A. Bentrcia. A reduced complexity weighted SIC detector for large wireless communicationssystems[C]. International Electronica, Communications and Photonics Conference, Riyadh,2011,1-5
[11] Z. Wang. Enhanced parallel-interference cancellation receiver based on MIMO systems[C].IET Conference on Wireless, Mobile and Sensor Networks, Shanghai, China,2007,28-31
[12] Y. T. Hsieh, W. R. Wu. Adaptive parallel interference cancellation for CDMA systems-aweight selection and filtering scheme[J]. Signal Processing,2011,91:1-14
[13]单丹.CDMA通信系统中盲多用户检测技术的研究[D].长春：吉林大学,2011,8-14
[14] A. F. Molisch.无线通信[M].(田斌，帖翊，任光亮).北京：电子工业出版社,2008,304-306
[15]暴宇，李新民.扩频通信技术及应用[M].西安：西安电子科技大学出版社,2011,10-11
[16]邵佳，董辰辉.MATLAB/Simulink通信系统建模与仿真实例精讲[M].北京：电子工业出版社,2009,218-219
[17] H. Mehdi, K. C. Teh, K. H. Li. Effect of chip waveforms on the performance of DS-SS in thepresence of multitone jamming over generalized-K fading channels[C].6th InternationalConference on Information Communications and Signal Processing, Singapore,2007,1-5
[18]付江志.直扩测控系统中的窄带干扰抑制技术研究[D].哈尔滨：哈尔滨工程大学,2010,7-8
[19] Y. Lee, D. Kang, H. Park, et al. Tone-interference cancellation algorithm for direct-sequencespread spectrum systems[C].3rd International Conference on Anti-counterfeiting, Security,and Identification in Communication, Hong Kong,2009,25-28
[20] L. B.Milstein. Interference rejection techniques in spread spectrum communications[J].Proceeding of the IEEE,1988,76(6):657-671
[21] H. W.Soreson, D. L Alspach. Recursive Bayesian estimation using Gaussiansums[J].Automatica,1971,7(4):465-479
[22] C. J. Masreliez. Approximate non-gaussian filtering with linear state and observationequations[J]. IEEE Transactions on Automatic Control,1975,20(4):107-110
[23] L. M. Li, L. B. Milstein. Rejection of narrow-band interference in PN spread-spectrumsystems using transversal filters[J]. IEEE Transactions on Communications,1982,30(5):925-928
[24] J. F. Doherty. Linearly constrained direct-sequence spread-spectrum interference rejection[J].IEEE Transactions on Communications,1994,42(2/3/4):865-872
[25] J. F. Doherty, H. Stark. Direct-sequence spread spectrum narrowband interference rejectionusing property restoration[J]. IEEE Transactions on Communications,1996,44(9):1197-1204
[26] W. H. Sheen, C. C. Tseng, H. C. Wang. Multiple-dwell and sequential code acquisition withdiversity for FFH/MFSK spread-spectrum systems under band multitone jamming[J]. IEEETransaction on Communications,2000,48(5):841-851
[27]梁继业，王海江，梁旭文，等. CDMA通信中干扰抑制的自适应非线性LTJ滤波技术[J].电子与信息学报,2005,27(4):595-598
[28] K. C. Ho, X. N. Lu, V. Metha. Adaptive blind narrowband interference cancellation formulti-user detection[J]. IEEE Transactions on Wireless Communications,2007,6(3):1024-1033
[29] J. Z. Fu, L. L. Guo, H. Q. Yang, et al. Narrow-band interference suppression in DSSS systemsusing efficient adaptive filters[C]. International Conference on Communications and MobileComputing, Yunnan,2009,353-357
[30]龚文飞，吴嗣亮，李加琪.直扩系统中IIR格型滤波器抑制窄带干扰新方法与性能分析[J].电子与信息学报,2010,32(10):2473-2478
[31] L. A. Rusch, H. V. Poor. Multiuser detection techniques for narrowband interferencesuppression in spread spectrum communications[J]. IEEE Transactions on Communications,1995,43(2):1725-1737
[32] H. V. Poor, X. D. Wang. Code-aided interference suppression for DS-CDMAcommunications-part I: interference suppression capability[J]. IEEE Transactions onCommunications,1997,45(9):1101-1111
[33]李琳，周文辉，谭述森.扩频系统中最小误码率意义下的最优干扰抑制技术[J].电子学报,2005,33(1):32-37
[34]殷复莲，郭黎利，孙志国.直扩系统迫零码辅助窄带干扰抑制技术研究[J].哈尔滨工程大学学报,2009,30(6):691-696
[35] T. Zhao, Z. Yang, Y. Zhao. Partial-code-aided scheme for narrowband interference suppressionin direct-sequence spread spectrum systems[J]. IET Communications,2010,4(18):2240-2251
[36] F. L. Yin, Y. Qin, Y. Gao. Blind RLS prediction and LMS code-aided NBI rejection for CDMAsystems[C].5th International Conference on Measuring Technology and MechatronicsAutomation, Hong Kong,2013,345-348
[37] T. T. Zhao, H. Zhao, Y. P. Zhao, et al. A frequency-domain estimation scheme for single-toneinterference in OFDM systems[C].3rd International Conference on Communications andMobile Computing, Qingdao,2011,409-412
[38] M. G. Amin. Interference mitigation in spread spectrum communication systems usingtime-frequency distributions[J]. IEEE Transactions on Signal Processing,1997,45(1):90-101
[39] X. Ouyang, M. G. Amin. Short-time fouier transform receiver for nonstationary interferenceexcision in direct sequence spread spectrum communications[J]. IEEE Transactions on SignalProcessing,2001,49(4):851-863
[40] J. N. Feng, X. B. Yang, Z. J. Diao, et al. Time-varying AR modeling and adaptive IIR notchfilter for anti-jamming DSSS receiver[J]. Journal of Electronics (China),2010,27(4):465-473
[41] T.Kasparis, M. Georgiopoulos, E. Payne. Non-linear filtering techniques for narrow-bandinterference rejection in direct sequence spread-spectrum systems[C]. Military Communicati-ons Conference, Mclean VA,1991,360-364
[42] G. J. Saulnier. Suppression of narrowband jammers in a spread-spectrum receiver usingtransform-domain adaptive filtering[J]. IEEE Journal on Selected Areas in Communications,1992,10(4):742-749
[43] J. A. Young, J. S. Lehnert. Analysis of DFT-based frequency excision algorithms fordirect-sequence spread-spectrum communications[J]. IEEE Transactionson Communications,1998,46(8):1076-1087
[44] A. Pouttu, J. Juntti, T. Kumpum ki. Adaptive transform domain interference suppression in ahybrid DS/FH-system[C]. IEEE International symposium on spread spectrum techniques andapplications, Sun City, South Africa,1998,1:351-355
[45] P. T. Capozza, B. J.Holland, T. M.Hopkinson, et al. A single-chip narrow-band frequencydomain excisor for a global positioning system (GPS) receiver[J]. IEEE Journal on Solid-StateCircuits,2000,35:401-411
[46] P. Henttu, S. Aromaa. Consecutive mean excision algorithm[C]. IEEE InternationalSymposium on Spread Spectrum Techniques and Applications, Prague, Czech Republic,2002,2/3:450-454
[47] L.B. Milstein, P. K. Das. Spread spectrum receiver using acoustic surface wave technology[J].IEEE Transactions on Communications,1977,25(8):841-847
[48] L.B. Milstein, P.K. Das. An analysis of a real-time transform domain filtering digitalcommunication system-part I: narrowband interference rejection[J]. IEEE Transactions onCommunications,1980,28:816-824
[49] M. J. Medley, G. J. Saulnier, P.K. Das. The application of wavelet-domain adaptive filtering tospread spectrum communication[C]. SPIE proceedings Wavelet Applications II, Orlando,1995,233-247
[50] M. J. Medley. Adaptive narrow-band interference suppression using linear transforms andmultirate filter banks[D].Troy: Rensselaer Polytechnic Institute, Dec.1995,30-40
[51] H. Saarnisaari, P. Henttu. Impulse detection and rejection methods for radio systems[C]. IEEEMilitary Communications Conference, Boston,2003,2:1126-1131
[52]张春海，薛丽君，张尔扬.基于自适应多门限算法的变换域窄带干扰抑制[J].电子与信息学报,2006,28(3):461-465
[53] L.D. Zhang, J. Zhang. A suppressing NBI technique of DSSS based on the linear estimator intime-frequency domain[C]. International Conference on Wireless Communications,Networking and Mobile Computing, Dalian,2008,1-4
[54] S. Wang, J. P. An, A. H. Wang, et al. A minimum value based threshold setting strategy forfrequency domain interference excision[J]. IEEE Signal Processing Letters,2010,17(5):501-504
[55]张春海，朱江，王世连，等.可用于DSSS系统时变干扰抑制的IIR滤波器设计[J].信号处理,2007,23(4):495-499
[56] H. Shen, A. Papandreou-Suppappola. Wideband time-varying interference suppression usingmatched signal transforms[J]. IEEE Transactions on Signal Processing,2005,53(7):2607-2612
[57]张九龙，酆广增.CDMA移动通信系统中的多址干扰及抑制技术[J].天津通信技术,2003,2(4):27-30
[58]闫洁.CDMA系统中串行干扰抵消检测技术的研究[J].中国科技论文在线,2007,1-5
[59]李艳萍.CDMA移动通信系统上下行链路多用户检测算法研究[D].太原：太原理工大学,2008,6-8
[60] S.Verdu. Optimum multiuser asymptotic efficiency[J]. IEEE Transactions on Communications,1986,34(9):890-897
[61] M. K. Varanasi, B. Aazhang. Multistage detection in asynchronous code-division multiple-access communications[J]. IEEE Transactions on Communications,1990,38(4):509-519
[62] B. P. Parrs, B. Aazhang, G. Orsak. Neural networks for multiuser detection in CDMAcommunications[J]. IEEE Transactions on Communications,1992,40:1212-1222
[63] U. Madhow, M.L.Honig. MMSE interference suppression for direct sequence spreadspectrumCDMA[J]. IEEE Transactions on Communications,1994,42:3178-3188
[64] P. Patel, J. Holtzman. Analysis of a simple successive interference cancellation scheme in aDS/CDMA system[J]. IEEE Journal on Selectedin Areas Communications,1994,12(5):796-807
[65] M.Honig, U.Mahow, S.Verdú. Blind multiuser detection[J]. IEEE Transactions on SignalProcessing,1995,40(7):944-960
[66] B. P. Paris. Finite precision decorrelating receivers for multiuser CDMA communicationsystems[J]. IEEE Transactions on Communications,1996,44(4):496-507
[67] G. I.Kechrioties, E. S. Manolakos. Hopfield neural network implementation of the optimalCDMA multiuser detector[J]. IEEE Transactions on Neural Networks,1996,7(1):131-141
[68]薛强，吕旌阳，吴伟陵.CDMA系统中两种基于子空间自适应特征值分解的多用户检测算法[J].北京邮电大学学报,2001,24(3):51-55
[69]薛奕冰，李建东.基于U-D分解滤波的高性能盲自适应多用户检测算法[J].电路与系统学报,2004,9(1):87-95
[70]史双宁，尚勇，梁庆林.一种新的线性多用户检测器[J].电子学报,2007,35(3):426-429
[71] Y. H. Yu, J. Li, Z. Wang, et al. Blind multiuser detection in MC-CDMA:schmidt-orthogonalization and subspace tracking kalman filtering[C].3rd InternationalConference on Communications and Mobile Computing, Qingdao,2011,375-380
[72]刘丽，汪晋宽，闫冬梅，等.一种改进的MIMO系统串行干扰消除检测算法[J].东北大学学报(自然科学版),2011,32(4):493-495
[73]熊伟.基于干扰抑制的多天线接收方案[J].中兴通讯技术,2012,4:1-5
[74] Z. J. Bai, S. Iwelski, G. H. Bruck, et al. On the receiver performance in MU-MIMO transmi-ssion in LTE[C].7thInternational Conference on Wireless and Mobile Communications,Luxembourg,2011,128-133
[75] Z. H. Zeng, D. L. Xiao, X. C. Han. Adaptive IRC algorithm to overcome inter-cell interfer-ence in uplink LTE system[C]. International Conference on Multimedia Technology,Hangzhou, China,2011,2914-2917
[76]韩小琴.LTE下行MIMO技术的接收算法研究[D].西安：西安电子科技大学,2009,36-38
[77] G. E. Bottomley, T. Ottosson, Y. P. E. Wang. A generalized RAKE receiver for interferencesuppression[J]. IEEE Journal on Selected Areas in Communications,2000,18(8):1536-1545
[78] D. Ast é ly, A. Artamo. Uplink spatio-temporal interference rejection combining forWCDMA[C]. IEEE3rd workshop on Signal Processing Advances in WirelessCommunications, Taiwan,2001,326-329
[79] N. Kong, I. Riphagen, M. Lotter, et al. An optimum interference mitigating combining schemefor the CDMA downlink with the same complexity as MRC[J]. IEEE Transactions onWireless Communications,2005,4(3):866-871
[80] F. T. Chien, C. H. Hwang, C.-C. J. Kuo. Performance analysis of multicarrier CDMA systemswith frequency offsets and random spreading under optimum combining[J]. IEEETransactions on Communications,2006,54(4):737-747
[81] C. Wang, M. Ma, R. Ying, et al. Narrowband interference mitigation in DS-UWB systems[J].IEEE Signal Processing Letters,2010,17(5):429-432
[82] A. Gomaa, N. Al-dhahir. A sparsity-aware approach for NBI estimation in MIMO-OFDM[J].IEEE Transactions on Wireless Communications,2011,10(6):1854-1862
[83]张邦宁，魏安全，郭道省，等.通信抗干扰技术[M].北京：机械工业出版社,2006,54-58
[84] X. F. Ying, Z. Y. Chu, H. X. Tian, et al. Single tone jamming elimination scheme ofmulticarrier spread spectrum system[J]. Journal of Electronics (China),2004,21(4):322-327
[85] H. L. Li, B. Pei, Y. F. Huang, et al. Performance of the direct sequence spread spectrumsystem with single-tone jamming[C]. IEEE International conference on Information Theoryand Information Security, Beijing,2010,458-461
[86] G. Z.Zang, Y. Y. Gao, J. Mu. Performance analysis of the cooperative DS/SS systems insingle-tone interference over flat Rayleigh fading channels[C]. International conference onCommunications, Circuits and Systems, Chengdu,2010,126-130
[87] X. Wang, Z. H. Tan, G. Zhu, et al. Doppler frequency shift estimation for rician channel inhigh-speed mobile communications[C].8th International Conference on Signal Processing,Beijing,2006,1-5
[88] S. Provencher. Estimation of complex single-tone parameters in the DFT domain[J]. IEEETransactions on Signal Processing,2010,58(7):3879-3883
[89] Y. Li, L. J. C. Jr. Bounds on the interchannel interference of OFDM in time-varyingimpairments[J]. IEEE Transactions on Communications,2001,49(3):401-404.
[90] A. Goldsmith.无线通信[M].(杨鸿文，李卫东，郭文彬，等).北京：人民邮电出版社,2007,144-159
[91] A. J. Best, B. Natarajan. The effect of jamming on the performance of carrierinterferometry/OFDM[C]. IEEE International Conference on WiMob, Montreal, Canada,2005,1:66-70
[92] F.S.Al-kamali, M.I.Dessouky, B.M.Sallam, et al. Performance evaluation of cyclic prefixCDMA systems with frequency domain interference cancellation[J]. Digital Signal Processing,2009,19:2-13
[93] M. D. Macleod. Fast nearly ML estimation of the parameters of real or complex single tonesor resolved multiple tones[J]. IEEE Transactions on Signal Processing,1998,46(1):141-148
[94] O. Sarbishei, K. Radecka. Analysis of mean-square-error (MSE) for fixed-point FFT units[C].IEEE International Symposium on Circuits and Systems, Rio de Janeiro,2011,1732-1735
[95] F. Adachi, K. Takeda. Bit error rate analysis of DS-CDMA with joint frequency-domainequalization and antenna diversity combining[J]. IEICE Transactions on Communications,2004, E87-B(10):2991-3001
[96] J.G.Proakis. Digital communications[M].New York: McGraw-Hill,2004,224-226.
[97] V. Poulkov, M. Ovtcharov, G. Iliev, et al. Narrowband interference suppression in MIMOsystems[M].Rijeka: InTech,2011,20-25
[98]沈莹.迭代检测在无线通信信号处理中的应用[D].成都：电子科技大学,2006,33-36
[99] T. M. Wu. A suboptimal maximum-likelihood receiver for FFH/BFSK systems with multitonejamming over frequency selective Rayleigh-fading channels[J]. IEEE Transactions onVehicular Technology,2008,57(2):1316-1322
[100] Y. Han, K.C.Teh. Error probabilities and performance comparisons of various FFH/MFSKreceivers with multitone jamming[J]. IEEE Transactions on Communications,2005,53(5):769-772
[101] Y. D.Chen, G. M. Li, S. Q. Li, et al. A new anti-jam receiver for MFSK/FFH system withmultitone jamming[C].11th IEEE Singapore International Conference on Communicationsystems, Guangzhou,2008,451-455
[102] Y. S. Liu. Diversity-combining and error-correction coding for FFH/MFSK systems overRayleigh fading channels under multitone jamming[J]. IEEE Transactions on WirelessCommunications,2012,11(2):771-779
[103] J. L. Zhang, K. C.Teh, K. H. Li. An optimum diversity-combining technique for FFH/MFSKcommunication systems over frequency-selective fading channels with multitone jamming[C].7th International Conference on Information, Communications and Signal Processing, Macau,2009,1-5
[104] H. Mehdi, K.C.Teh,K.H.Li. Analysis of MIMO band-limited DS-CDMA systems in thepresence of multitone jamming over generalized-K fading channels[J]. IEEE Transactions onVehicular Technology,2009,58(7):3825-3829
[105] H. Mehdi, K.C. Teh, K.H. Li. Multiuser detectors for band-limited direct-sequencecode-division multiple-access systems with multitone jamming and generalized-K fading[J].IET Communications,2010,4(17):2021-2031
[106] G. Iliev, V. Poulkov, M. Ovtcharov. Performance comparison of NBI suppression methods forMIMO OSTBC-OFDM systems[C].7th IEEE International workshop on Performance andManagement of Wireless and Mobile Networks, Bonn, Germany,2011,630-633
[107] Q.Zhi, S. G. Cui, A. H. Sayed. Optimal linear cooperation for spectrum sensing in cognitiveradio networks[J]. IEEE Journal of Selected Topics in Signal Processing,2008,2(1):28-40
[108] C. Carlemalm, H. V. Poor, A. Logothetis. Suppression of multiple narrowband interferers in aspread-spectrum communication systems[J]. IEEE Journal on Selected Areas in Communi-cations,2000,18(8):1365-1374
[109] T. Y ü cek, H. Arslan. A survey of spectrum sensing algorithms for cognitive radioapplications[J]. IEEE Communications Surveys&Tutorials,2009,11(1):116-130
[110]赵树杰，赵建勋.信号检测与估计理论[M].北京：清华大学出版社,2005,85-88
[111] R.C. Dipietro. An FFT based technique for suppressing narrow-band interference in PN spreadspectrum communication systems[C]. International Conference on Acoustics, Speech, andSignal Processing, Glasgow,1989,1360-1364
[112] D. R. Joshi, D. C. Popescu, O. A. Dobre. Adaptive spectrum sensing with noise varianceestimation for dynamic cognitive radio systems[C].44th Annual Conference on InformationSciences and Systems, Princeton, New Jersey,2010,1-5
[113] Z. Ye, G. Memik, J. Grosspietsch. Energy detection using estimated noise variance forspectrum sensing in cognitive radio networks[C]. Wireless Communications and NetworkingConference, Las Vegas, Nevada,2008,711-716
[114] G. H. Ye, R. M. Lu, Y. C. Li, et al. Revised SNR estimator in DSSS receiver based on curvefitting[C].2nd International Congress on Image and Signal Processing, Tianjin China,2009,1-3
[115] N. C. Beaulieu, A. S. Tomes, D. R. Pauluzzi. Comparison of four SNR estimators for QPSKmodulations[J]. IEEE Communications Letters,2000,4(3):43-45
[116]刘涛.第三代移动通信中RAKE接收技术研究[D].西安：西安电子科技大学,2006,3-5
[117] P. H. Lin, T. D. Chiueh. Low complexity frequency-domain dispreading for cyclic-prefixCDMA systems[J]. IEEE Communications Letters,2004,8(6):339-341
[118] L. J. Cimini. Analysis and simulation of a digital mobile channel using orthogonal frequencydivision multiplexing[J]. IEEE Transactions on Communications,1985,33(7):665-675
[119] D. Falconer,S. L. Ariyavisitakul,A. Benyamin-Seeyar, et al. Frequency domain equalizationfor single-carrier broadband wireless systems[J]. IEEE Communications Magazine,2002,40(4):58-66
[120] S. Hara, R. Prasad. Overview of multicarrier CDMA[J]. IEEE Communications Magazine,1997,35(12):126-133
[121] Y. Li, S. Mclaughlin, X. Wei, et al. Channel estimation and interference cancellation inCP-CDMA systems[J]. IET Communications,2007,1(1):106-112
[122] T. T. Zhao, Y. P. Zhao. Performance comparison of CP-CDMA, CP-CS-CDMA and OFDMwith frequency offset[C]. IEEE International Conference on Communications Workshops,Kyoto,2011,1-5
[123] I. Martoyo, F. K. Jondral. Frequency domain equalization in CDMA detection[J]. EuropeanTransactions on Telecommunications,2008,19:123-135
[124] P. Silva, R. Dinis. SIC and PIC multiuser detection for prefix-assisted DS-CDMA systems[C].Communication Systems and Applications, Banff,2005,1-4
[125] K.Ishihara, K.Takeda, F.Adachi. Frequency-domain multi-state MAI cancellation forDS-CDMA with transmit/receiver antenna diversity[C]. IEEE Vehicular TechnologyConference, Dallas Texas,2005,1:78-82
[126] C. H. Yu, O. Tirkkonen. Characterization of SINR uncertainty due to spatial interferencevariation[C]. IEEE11th International Workshop on Signal Processing Advances in WirelessCommunications, Marrakech,2010,1-5
[127] F. Horlin, A. Bourdoux, E. Lopez-Estraviz, et al. Single-carrier FDMA or cyclic-prefix CDMAwith optimized spreading sequences?[J]. IEEE Transactions on Vehicular Technology,2008,57(5):3230-3234
[128] K. L. Baum, T. A. Thomas, F. W. Vook, et al. Cyclic-prefix CDMA: an improved transmissionmethod for broadband DS-CDMA cellular systems[C]. IEEE International Conference onWireless Communications and Networking, Orlando, FL, USA,2002,1:183-188
[129] L. Liu, Y. L. Guan, G. A. Bi, et al. Effect of carrier frequency offset on single-carrier CDMAwith frequency-domain equalization[J]. IEEE Transactions on Vehicular Technology,2011,60(1):174-184
[130] D. R. Liu, H. Zare. A multipath interference cancellation technique for WCDMA downlinkreceivers[J]. International Journal of Communications Systems,2007,20:661-668
[131] R.K. Mallik, M.Z. Win, M. Chiani, et al. Bit-error probability for optimum combining ofbinary signals in the presence of interference and noise[J]. IEEE Transactions on WirelessCommunications,2004,3(2):395-407
[132] E. G. Larsson. Model averaged interference rejection combining[J]. IEEE Transactions onCommunications,2007,55(2):271-274
[133] J. Karlsson, S. Mazur. Interference suppression in CDMA mobile stations using multipleantennas[C]. IEEE International Conference on Universal Personal Communications, Florence,1998,2:1289-1293
[134] F. Adachi, D. Garg, S. Takaoka, et al. Broadband CDMA techniques[J]. IEEE WirelessCommunications,2005,12(2):8-18
[2] S. Aldirmaz, L. Durak. Broadband interference excision in spread spectrum communicationsystems based on short-time fourier transformation[J]. Progress in Electromagnetics ResearchB,2008,7:309-320
[3] F. L. Yin, Y. Qin, Y. Gao. Blind RLS prediction and LMS code-aided NBI rejection for CDMAsystems[C]. The5th International Conference on Measuring Technology and MechatronicsAutomation, Hong Kong,2013:345-348
[4] J. H. Xia, J. S. Zhang. A new algorithm of narrow-band interference excision in lappedtransforms domain[C]. International Conference on Communications, Circuits and SysemsProceedings, Guilin,2006,1:234-237
[5] J. T. Yuan, J. N. Lee. Narrow-band interference rejection in DS/CDMA systems using adaptive(QRD-LSL)-based nonlinear ACM interpolators[J]. IEEE Transactions on VehicularTechnology,2003,52(2):374-379
[6] C. Wang, M. D. Ma, R. D. Ying, et al. Narrowband interference mitigation in DS-UWBsystems[J]. IEEE Signal Processing Letters,2010,17(5):429-432
[7] J. D. Laster, J. H. Reed. Interference rejection in digital wireless communications[J]. IEEESignal Processing Magazine,1997,14(3):37-62
[8] H. V. Poor. Active interference suppression in CDMA overlay systems[J]. IEEE Journal onSelected Areas in Communications,2001,19(1):4-20
[9] Q. T. Ho, D. Massicotte. VLSI implementation of an adaptive multiuser detector multirateWCDMA systems[J]. Journal of Signal Processing Systems,2010,61(2):127-139
[10] A. Bentrcia. A reduced complexity weighted SIC detector for large wireless communicationssystems[C]. International Electronica, Communications and Photonics Conference, Riyadh,2011,1-5
[11] Z. Wang. Enhanced parallel-interference cancellation receiver based on MIMO systems[C].IET Conference on Wireless, Mobile and Sensor Networks, Shanghai, China,2007,28-31
[12] Y. T. Hsieh, W. R. Wu. Adaptive parallel interference cancellation for CDMA systems-aweight selection and filtering scheme[J]. Signal Processing,2011,91:1-14
[13]单丹.CDMA通信系统中盲多用户检测技术的研究[D].长春：吉林大学,2011,8-14
[14] A. F. Molisch.无线通信[M].(田斌，帖翊，任光亮).北京：电子工业出版社,2008,304-306
[15]暴宇，李新民.扩频通信技术及应用[M].西安：西安电子科技大学出版社,2011,10-11
[16]邵佳，董辰辉.MATLAB/Simulink通信系统建模与仿真实例精讲[M].北京：电子工业出版社,2009,218-219
[17] H. Mehdi, K. C. Teh, K. H. Li. Effect of chip waveforms on the performance of DS-SS in thepresence of multitone jamming over generalized-K fading channels[C].6th InternationalConference on Information Communications and Signal Processing, Singapore,2007,1-5
[18]付江志.直扩测控系统中的窄带干扰抑制技术研究[D].哈尔滨：哈尔滨工程大学,2010,7-8
[19] Y. Lee, D. Kang, H. Park, et al. Tone-interference cancellation algorithm for direct-sequencespread spectrum systems[C].3rd International Conference on Anti-counterfeiting, Security,and Identification in Communication, Hong Kong,2009,25-28
[20] L. B.Milstein. Interference rejection techniques in spread spectrum communications[J].Proceeding of the IEEE,1988,76(6):657-671
[21] H. W.Soreson, D. L Alspach. Recursive Bayesian estimation using Gaussiansums[J].Automatica,1971,7(4):465-479
[22] C. J. Masreliez. Approximate non-gaussian filtering with linear state and observationequations[J]. IEEE Transactions on Automatic Control,1975,20(4):107-110
[23] L. M. Li, L. B. Milstein. Rejection of narrow-band interference in PN spread-spectrumsystems using transversal filters[J]. IEEE Transactions on Communications,1982,30(5):925-928
[24] J. F. Doherty. Linearly constrained direct-sequence spread-spectrum interference rejection[J].IEEE Transactions on Communications,1994,42(2/3/4):865-872
[25] J. F. Doherty, H. Stark. Direct-sequence spread spectrum narrowband interference rejectionusing property restoration[J]. IEEE Transactions on Communications,1996,44(9):1197-1204
[26] W. H. Sheen, C. C. Tseng, H. C. Wang. Multiple-dwell and sequential code acquisition withdiversity for FFH/MFSK spread-spectrum systems under band multitone jamming[J]. IEEETransaction on Communications,2000,48(5):841-851
[27]梁继业，王海江，梁旭文，等. CDMA通信中干扰抑制的自适应非线性LTJ滤波技术[J].电子与信息学报,2005,27(4):595-598
[28] K. C. Ho, X. N. Lu, V. Metha. Adaptive blind narrowband interference cancellation formulti-user detection[J]. IEEE Transactions on Wireless Communications,2007,6(3):1024-1033
[29] J. Z. Fu, L. L. Guo, H. Q. Yang, et al. Narrow-band interference suppression in DSSS systemsusing efficient adaptive filters[C]. International Conference on Communications and MobileComputing, Yunnan,2009,353-357
[30]龚文飞，吴嗣亮，李加琪.直扩系统中IIR格型滤波器抑制窄带干扰新方法与性能分析[J].电子与信息学报,2010,32(10):2473-2478
[31] L. A. Rusch, H. V. Poor. Multiuser detection techniques for narrowband interferencesuppression in spread spectrum communications[J]. IEEE Transactions on Communications,1995,43(2):1725-1737
[32] H. V. Poor, X. D. Wang. Code-aided interference suppression for DS-CDMAcommunications-part I: interference suppression capability[J]. IEEE Transactions onCommunications,1997,45(9):1101-1111
[33]李琳，周文辉，谭述森.扩频系统中最小误码率意义下的最优干扰抑制技术[J].电子学报,2005,33(1):32-37
[34]殷复莲，郭黎利，孙志国.直扩系统迫零码辅助窄带干扰抑制技术研究[J].哈尔滨工程大学学报,2009,30(6):691-696
[35] T. Zhao, Z. Yang, Y. Zhao. Partial-code-aided scheme for narrowband interference suppressionin direct-sequence spread spectrum systems[J]. IET Communications,2010,4(18):2240-2251
[36] F. L. Yin, Y. Qin, Y. Gao. Blind RLS prediction and LMS code-aided NBI rejection for CDMAsystems[C].5th International Conference on Measuring Technology and MechatronicsAutomation, Hong Kong,2013,345-348
[37] T. T. Zhao, H. Zhao, Y. P. Zhao, et al. A frequency-domain estimation scheme for single-toneinterference in OFDM systems[C].3rd International Conference on Communications andMobile Computing, Qingdao,2011,409-412
[38] M. G. Amin. Interference mitigation in spread spectrum communication systems usingtime-frequency distributions[J]. IEEE Transactions on Signal Processing,1997,45(1):90-101
[39] X. Ouyang, M. G. Amin. Short-time fouier transform receiver for nonstationary interferenceexcision in direct sequence spread spectrum communications[J]. IEEE Transactions on SignalProcessing,2001,49(4):851-863
[40] J. N. Feng, X. B. Yang, Z. J. Diao, et al. Time-varying AR modeling and adaptive IIR notchfilter for anti-jamming DSSS receiver[J]. Journal of Electronics (China),2010,27(4):465-473
[41] T.Kasparis, M. Georgiopoulos, E. Payne. Non-linear filtering techniques for narrow-bandinterference rejection in direct sequence spread-spectrum systems[C]. Military Communicati-ons Conference, Mclean VA,1991,360-364
[42] G. J. Saulnier. Suppression of narrowband jammers in a spread-spectrum receiver usingtransform-domain adaptive filtering[J]. IEEE Journal on Selected Areas in Communications,1992,10(4):742-749
[43] J. A. Young, J. S. Lehnert. Analysis of DFT-based frequency excision algorithms fordirect-sequence spread-spectrum communications[J]. IEEE Transactionson Communications,1998,46(8):1076-1087
[44] A. Pouttu, J. Juntti, T. Kumpum ki. Adaptive transform domain interference suppression in ahybrid DS/FH-system[C]. IEEE International symposium on spread spectrum techniques andapplications, Sun City, South Africa,1998,1:351-355
[45] P. T. Capozza, B. J.Holland, T. M.Hopkinson, et al. A single-chip narrow-band frequencydomain excisor for a global positioning system (GPS) receiver[J]. IEEE Journal on Solid-StateCircuits,2000,35:401-411
[46] P. Henttu, S. Aromaa. Consecutive mean excision algorithm[C]. IEEE InternationalSymposium on Spread Spectrum Techniques and Applications, Prague, Czech Republic,2002,2/3:450-454
[47] L.B. Milstein, P. K. Das. Spread spectrum receiver using acoustic surface wave technology[J].IEEE Transactions on Communications,1977,25(8):841-847
[48] L.B. Milstein, P.K. Das. An analysis of a real-time transform domain filtering digitalcommunication system-part I: narrowband interference rejection[J]. IEEE Transactions onCommunications,1980,28:816-824
[49] M. J. Medley, G. J. Saulnier, P.K. Das. The application of wavelet-domain adaptive filtering tospread spectrum communication[C]. SPIE proceedings Wavelet Applications II, Orlando,1995,233-247
[50] M. J. Medley. Adaptive narrow-band interference suppression using linear transforms andmultirate filter banks[D].Troy: Rensselaer Polytechnic Institute, Dec.1995,30-40
[51] H. Saarnisaari, P. Henttu. Impulse detection and rejection methods for radio systems[C]. IEEEMilitary Communications Conference, Boston,2003,2:1126-1131
[52]张春海，薛丽君，张尔扬.基于自适应多门限算法的变换域窄带干扰抑制[J].电子与信息学报,2006,28(3):461-465
[53] L.D. Zhang, J. Zhang. A suppressing NBI technique of DSSS based on the linear estimator intime-frequency domain[C]. International Conference on Wireless Communications,Networking and Mobile Computing, Dalian,2008,1-4
[54] S. Wang, J. P. An, A. H. Wang, et al. A minimum value based threshold setting strategy forfrequency domain interference excision[J]. IEEE Signal Processing Letters,2010,17(5):501-504
[55]张春海，朱江，王世连，等.可用于DSSS系统时变干扰抑制的IIR滤波器设计[J].信号处理,2007,23(4):495-499
[56] H. Shen, A. Papandreou-Suppappola. Wideband time-varying interference suppression usingmatched signal transforms[J]. IEEE Transactions on Signal Processing,2005,53(7):2607-2612
[57]张九龙，酆广增.CDMA移动通信系统中的多址干扰及抑制技术[J].天津通信技术,2003,2(4):27-30
[58]闫洁.CDMA系统中串行干扰抵消检测技术的研究[J].中国科技论文在线,2007,1-5
[59]李艳萍.CDMA移动通信系统上下行链路多用户检测算法研究[D].太原：太原理工大学,2008,6-8
[60] S.Verdu. Optimum multiuser asymptotic efficiency[J]. IEEE Transactions on Communications,1986,34(9):890-897
[61] M. K. Varanasi, B. Aazhang. Multistage detection in asynchronous code-division multiple-access communications[J]. IEEE Transactions on Communications,1990,38(4):509-519
[62] B. P. Parrs, B. Aazhang, G. Orsak. Neural networks for multiuser detection in CDMAcommunications[J]. IEEE Transactions on Communications,1992,40:1212-1222
[63] U. Madhow, M.L.Honig. MMSE interference suppression for direct sequence spreadspectrumCDMA[J]. IEEE Transactions on Communications,1994,42:3178-3188
[64] P. Patel, J. Holtzman. Analysis of a simple successive interference cancellation scheme in aDS/CDMA system[J]. IEEE Journal on Selectedin Areas Communications,1994,12(5):796-807
[65] M.Honig, U.Mahow, S.Verdú. Blind multiuser detection[J]. IEEE Transactions on SignalProcessing,1995,40(7):944-960
[66] B. P. Paris. Finite precision decorrelating receivers for multiuser CDMA communicationsystems[J]. IEEE Transactions on Communications,1996,44(4):496-507
[67] G. I.Kechrioties, E. S. Manolakos. Hopfield neural network implementation of the optimalCDMA multiuser detector[J]. IEEE Transactions on Neural Networks,1996,7(1):131-141
[68]薛强，吕旌阳，吴伟陵.CDMA系统中两种基于子空间自适应特征值分解的多用户检测算法[J].北京邮电大学学报,2001,24(3):51-55
[69]薛奕冰，李建东.基于U-D分解滤波的高性能盲自适应多用户检测算法[J].电路与系统学报,2004,9(1):87-95
[70]史双宁，尚勇，梁庆林.一种新的线性多用户检测器[J].电子学报,2007,35(3):426-429
[71] Y. H. Yu, J. Li, Z. Wang, et al. Blind multiuser detection in MC-CDMA:schmidt-orthogonalization and subspace tracking kalman filtering[C].3rd InternationalConference on Communications and Mobile Computing, Qingdao,2011,375-380
[72]刘丽，汪晋宽，闫冬梅，等.一种改进的MIMO系统串行干扰消除检测算法[J].东北大学学报(自然科学版),2011,32(4):493-495
[73]熊伟.基于干扰抑制的多天线接收方案[J].中兴通讯技术,2012,4:1-5
[74] Z. J. Bai, S. Iwelski, G. H. Bruck, et al. On the receiver performance in MU-MIMO transmi-ssion in LTE[C].7thInternational Conference on Wireless and Mobile Communications,Luxembourg,2011,128-133
[75] Z. H. Zeng, D. L. Xiao, X. C. Han. Adaptive IRC algorithm to overcome inter-cell interfer-ence in uplink LTE system[C]. International Conference on Multimedia Technology,Hangzhou, China,2011,2914-2917
[76]韩小琴.LTE下行MIMO技术的接收算法研究[D].西安：西安电子科技大学,2009,36-38
[77] G. E. Bottomley, T. Ottosson, Y. P. E. Wang. A generalized RAKE receiver for interferencesuppression[J]. IEEE Journal on Selected Areas in Communications,2000,18(8):1536-1545
[78] D. Ast é ly, A. Artamo. Uplink spatio-temporal interference rejection combining forWCDMA[C]. IEEE3rd workshop on Signal Processing Advances in WirelessCommunications, Taiwan,2001,326-329
[79] N. Kong, I. Riphagen, M. Lotter, et al. An optimum interference mitigating combining schemefor the CDMA downlink with the same complexity as MRC[J]. IEEE Transactions onWireless Communications,2005,4(3):866-871
[80] F. T. Chien, C. H. Hwang, C.-C. J. Kuo. Performance analysis of multicarrier CDMA systemswith frequency offsets and random spreading under optimum combining[J]. IEEETransactions on Communications,2006,54(4):737-747
[81] C. Wang, M. Ma, R. Ying, et al. Narrowband interference mitigation in DS-UWB systems[J].IEEE Signal Processing Letters,2010,17(5):429-432
[82] A. Gomaa, N. Al-dhahir. A sparsity-aware approach for NBI estimation in MIMO-OFDM[J].IEEE Transactions on Wireless Communications,2011,10(6):1854-1862
[83]张邦宁，魏安全，郭道省，等.通信抗干扰技术[M].北京：机械工业出版社,2006,54-58
[84] X. F. Ying, Z. Y. Chu, H. X. Tian, et al. Single tone jamming elimination scheme ofmulticarrier spread spectrum system[J]. Journal of Electronics (China),2004,21(4):322-327
[85] H. L. Li, B. Pei, Y. F. Huang, et al. Performance of the direct sequence spread spectrumsystem with single-tone jamming[C]. IEEE International conference on Information Theoryand Information Security, Beijing,2010,458-461
[86] G. Z.Zang, Y. Y. Gao, J. Mu. Performance analysis of the cooperative DS/SS systems insingle-tone interference over flat Rayleigh fading channels[C]. International conference onCommunications, Circuits and Systems, Chengdu,2010,126-130
[87] X. Wang, Z. H. Tan, G. Zhu, et al. Doppler frequency shift estimation for rician channel inhigh-speed mobile communications[C].8th International Conference on Signal Processing,Beijing,2006,1-5
[88] S. Provencher. Estimation of complex single-tone parameters in the DFT domain[J]. IEEETransactions on Signal Processing,2010,58(7):3879-3883
[89] Y. Li, L. J. C. Jr. Bounds on the interchannel interference of OFDM in time-varyingimpairments[J]. IEEE Transactions on Communications,2001,49(3):401-404.
[90] A. Goldsmith.无线通信[M].(杨鸿文，李卫东，郭文彬，等).北京：人民邮电出版社,2007,144-159
[91] A. J. Best, B. Natarajan. The effect of jamming on the performance of carrierinterferometry/OFDM[C]. IEEE International Conference on WiMob, Montreal, Canada,2005,1:66-70
[92] F.S.Al-kamali, M.I.Dessouky, B.M.Sallam, et al. Performance evaluation of cyclic prefixCDMA systems with frequency domain interference cancellation[J]. Digital Signal Processing,2009,19:2-13
[93] M. D. Macleod. Fast nearly ML estimation of the parameters of real or complex single tonesor resolved multiple tones[J]. IEEE Transactions on Signal Processing,1998,46(1):141-148
[94] O. Sarbishei, K. Radecka. Analysis of mean-square-error (MSE) for fixed-point FFT units[C].IEEE International Symposium on Circuits and Systems, Rio de Janeiro,2011,1732-1735
[95] F. Adachi, K. Takeda. Bit error rate analysis of DS-CDMA with joint frequency-domainequalization and antenna diversity combining[J]. IEICE Transactions on Communications,2004, E87-B(10):2991-3001
[96] J.G.Proakis. Digital communications[M].New York: McGraw-Hill,2004,224-226.
[97] V. Poulkov, M. Ovtcharov, G. Iliev, et al. Narrowband interference suppression in MIMOsystems[M].Rijeka: InTech,2011,20-25
[98]沈莹.迭代检测在无线通信信号处理中的应用[D].成都：电子科技大学,2006,33-36
[99] T. M. Wu. A suboptimal maximum-likelihood receiver for FFH/BFSK systems with multitonejamming over frequency selective Rayleigh-fading channels[J]. IEEE Transactions onVehicular Technology,2008,57(2):1316-1322
[100] Y. Han, K.C.Teh. Error probabilities and performance comparisons of various FFH/MFSKreceivers with multitone jamming[J]. IEEE Transactions on Communications,2005,53(5):769-772
[101] Y. D.Chen, G. M. Li, S. Q. Li, et al. A new anti-jam receiver for MFSK/FFH system withmultitone jamming[C].11th IEEE Singapore International Conference on Communicationsystems, Guangzhou,2008,451-455
[102] Y. S. Liu. Diversity-combining and error-correction coding for FFH/MFSK systems overRayleigh fading channels under multitone jamming[J]. IEEE Transactions on WirelessCommunications,2012,11(2):771-779
[103] J. L. Zhang, K. C.Teh, K. H. Li. An optimum diversity-combining technique for FFH/MFSKcommunication systems over frequency-selective fading channels with multitone jamming[C].7th International Conference on Information, Communications and Signal Processing, Macau,2009,1-5
[104] H. Mehdi, K.C.Teh,K.H.Li. Analysis of MIMO band-limited DS-CDMA systems in thepresence of multitone jamming over generalized-K fading channels[J]. IEEE Transactions onVehicular Technology,2009,58(7):3825-3829
[105] H. Mehdi, K.C. Teh, K.H. Li. Multiuser detectors for band-limited direct-sequencecode-division multiple-access systems with multitone jamming and generalized-K fading[J].IET Communications,2010,4(17):2021-2031
[106] G. Iliev, V. Poulkov, M. Ovtcharov. Performance comparison of NBI suppression methods forMIMO OSTBC-OFDM systems[C].7th IEEE International workshop on Performance andManagement of Wireless and Mobile Networks, Bonn, Germany,2011,630-633
[107] Q.Zhi, S. G. Cui, A. H. Sayed. Optimal linear cooperation for spectrum sensing in cognitiveradio networks[J]. IEEE Journal of Selected Topics in Signal Processing,2008,2(1):28-40
[108] C. Carlemalm, H. V. Poor, A. Logothetis. Suppression of multiple narrowband interferers in aspread-spectrum communication systems[J]. IEEE Journal on Selected Areas in Communi-cations,2000,18(8):1365-1374
[109] T. Y ü cek, H. Arslan. A survey of spectrum sensing algorithms for cognitive radioapplications[J]. IEEE Communications Surveys&Tutorials,2009,11(1):116-130
[110]赵树杰，赵建勋.信号检测与估计理论[M].北京：清华大学出版社,2005,85-88
[111] R.C. Dipietro. An FFT based technique for suppressing narrow-band interference in PN spreadspectrum communication systems[C]. International Conference on Acoustics, Speech, andSignal Processing, Glasgow,1989,1360-1364
[112] D. R. Joshi, D. C. Popescu, O. A. Dobre. Adaptive spectrum sensing with noise varianceestimation for dynamic cognitive radio systems[C].44th Annual Conference on InformationSciences and Systems, Princeton, New Jersey,2010,1-5
[113] Z. Ye, G. Memik, J. Grosspietsch. Energy detection using estimated noise variance forspectrum sensing in cognitive radio networks[C]. Wireless Communications and NetworkingConference, Las Vegas, Nevada,2008,711-716
[114] G. H. Ye, R. M. Lu, Y. C. Li, et al. Revised SNR estimator in DSSS receiver based on curvefitting[C].2nd International Congress on Image and Signal Processing, Tianjin China,2009,1-3
[115] N. C. Beaulieu, A. S. Tomes, D. R. Pauluzzi. Comparison of four SNR estimators for QPSKmodulations[J]. IEEE Communications Letters,2000,4(3):43-45
[116]刘涛.第三代移动通信中RAKE接收技术研究[D].西安：西安电子科技大学,2006,3-5
[117] P. H. Lin, T. D. Chiueh. Low complexity frequency-domain dispreading for cyclic-prefixCDMA systems[J]. IEEE Communications Letters,2004,8(6):339-341
[118] L. J. Cimini. Analysis and simulation of a digital mobile channel using orthogonal frequencydivision multiplexing[J]. IEEE Transactions on Communications,1985,33(7):665-675
[119] D. Falconer,S. L. Ariyavisitakul,A. Benyamin-Seeyar, et al. Frequency domain equalizationfor single-carrier broadband wireless systems[J]. IEEE Communications Magazine,2002,40(4):58-66
[120] S. Hara, R. Prasad. Overview of multicarrier CDMA[J]. IEEE Communications Magazine,1997,35(12):126-133
[121] Y. Li, S. Mclaughlin, X. Wei, et al. Channel estimation and interference cancellation inCP-CDMA systems[J]. IET Communications,2007,1(1):106-112
[122] T. T. Zhao, Y. P. Zhao. Performance comparison of CP-CDMA, CP-CS-CDMA and OFDMwith frequency offset[C]. IEEE International Conference on Communications Workshops,Kyoto,2011,1-5
[123] I. Martoyo, F. K. Jondral. Frequency domain equalization in CDMA detection[J]. EuropeanTransactions on Telecommunications,2008,19:123-135
[124] P. Silva, R. Dinis. SIC and PIC multiuser detection for prefix-assisted DS-CDMA systems[C].Communication Systems and Applications, Banff,2005,1-4
[125] K.Ishihara, K.Takeda, F.Adachi. Frequency-domain multi-state MAI cancellation forDS-CDMA with transmit/receiver antenna diversity[C]. IEEE Vehicular TechnologyConference, Dallas Texas,2005,1:78-82
[126] C. H. Yu, O. Tirkkonen. Characterization of SINR uncertainty due to spatial interferencevariation[C]. IEEE11th International Workshop on Signal Processing Advances in WirelessCommunications, Marrakech,2010,1-5
[127] F. Horlin, A. Bourdoux, E. Lopez-Estraviz, et al. Single-carrier FDMA or cyclic-prefix CDMAwith optimized spreading sequences?[J]. IEEE Transactions on Vehicular Technology,2008,57(5):3230-3234
[128] K. L. Baum, T. A. Thomas, F. W. Vook, et al. Cyclic-prefix CDMA: an improved transmissionmethod for broadband DS-CDMA cellular systems[C]. IEEE International Conference onWireless Communications and Networking, Orlando, FL, USA,2002,1:183-188
[129] L. Liu, Y. L. Guan, G. A. Bi, et al. Effect of carrier frequency offset on single-carrier CDMAwith frequency-domain equalization[J]. IEEE Transactions on Vehicular Technology,2011,60(1):174-184
[130] D. R. Liu, H. Zare. A multipath interference cancellation technique for WCDMA downlinkreceivers[J]. International Journal of Communications Systems,2007,20:661-668
[131] R.K. Mallik, M.Z. Win, M. Chiani, et al. Bit-error probability for optimum combining ofbinary signals in the presence of interference and noise[J]. IEEE Transactions on WirelessCommunications,2004,3(2):395-407
[132] E. G. Larsson. Model averaged interference rejection combining[J]. IEEE Transactions onCommunications,2007,55(2):271-274
[133] J. Karlsson, S. Mazur. Interference suppression in CDMA mobile stations using multipleantennas[C]. IEEE International Conference on Universal Personal Communications, Florence,1998,2:1289-1293
[134] F. Adachi, D. Garg, S. Takaoka, et al. Broadband CDMA techniques[J]. IEEE WirelessCommunications,2005,12(2):8-18