瞬态检测理论及OFDM系统应用技术研究
|
摘要
本文主要研究的是瞬态检测基本理论及其传输技术。主要利用的是确知基带数字信号码元波形与加性噪声干扰在瞬态特征上的差异来进行信号检测的,能抗强加性噪声干扰。与传统的统计积分检测方法不同,瞬态检测理论主要采用干扰微分方程的方法来进行信号检测。利用测知接收的混合信号和干扰函数值来列出仅关于干扰函数为变量的微分方程,通过测量的干扰初值可先求解出所列干扰微分方程的变量,然后用接收的混合信号减去已求解出的干扰,即可恢复出受检信号。
瞬态检测理论所列微分方程具有在混合测知信号中消除确知受检信号码元的特点,所以受检码元信号函数的选择必须使其在微分方程中所形成的多项式和为零,通过对微分方程的分析和研究推导出瞬态检测码元函数为te-at的形式,根据瞬态检测理论建立了一、二阶干扰微分方程,并给出了数值解法,同时研究设计了适合数字信号处理器模拟实验的软件和硬件实验仿真系统,通过实验验证了瞬态检测理论的正确性。
码间干扰和邻道干扰的抑制是瞬态检测理论应用于实际通信必须要解决的问题,通过理论推导和分析可以发现干扰微分方程具有抑制码间干扰的能力。由于瞬态检测所使用的码元信号函数ta-at的频率成分较为丰富,在消除邻道干扰所使用的锐截止滤波器会造成码元的波形畸变而对瞬态检测非常不利,所以根据所选码元函数的特点,采取频谱截断补偿法来消除邻道干扰,并且能基本无失真的恢复出受检信号的频谱。
首先利用单个无任何干扰的码元经过快速傅立叶变换(FFT)后截断,再用截断点以外的频谱和截断点以内的点相比得到一系列的补偿系数,将这些系数存储在数字信号处理器的存储器内,然后再用数字信号处理器对实际接收的信号进行采样、FFT、截断,通过已存储的系数和截断内点的频谱计算来完全恢复出截断后的受检信号频谱,经傅立叶反变换(IFFT)后得到不含邻道干扰的受检信号,并以此建立了抑制邻道干扰的实验系统,实验证明检测结果比简单截断处理方法有了很大的改进。
高速数据传输也是数据通信追求的目标之一,根据抑制邻道干扰的系数补偿方法延伸推导出在窄带内提高传输速率的补偿计算方法,并且在保证瞬态检测准确率和不增加带宽的情况下,通过准周期频谱系数的补偿方法可以使传输速率提高4倍左右。该方法已通过对车载725单边带电台进行数据通信的应用设计和实验,由于载信码元的特殊性和检测方法的独特性,使其能在高速数据传输、抗强加性同频噪声干扰和保密通信中发挥重要的作用。
OFDM系统是未来3G和4G通信技术所要采用的“最后一公里”接入技术,利用瞬态检测理论阐述的某些方法来改善ODFM子信道中抑制邻道干扰的性能,从而达到在OFD系统中提高传输效率、降低误码率的目的。
本文所研究的瞬态检测理论具有与传统检测方法不同的检测机理,它的原理可以不受仙农信道容量公式的限制,在对抗强加性噪声或同频干扰上有着无法比拟的优越性,是数字信号检测理论的一个创新,为弱确知信号的检测理论和超高速数据传输开辟了一个新的研究领域,同时由于其检测方法的独特性和抗强同频干扰的特点,又可用于保密通信和电子对抗,具有较高的学术价值和经济价值。
This paper mainly studies the transient detection theory which is expounded as a new method to detect signal by the transient characteristic difference between the base band digital signal symbol waveforms and the additive noise. It varies from the traditional statistical detection methods in strong noise, which is mainly use of differential equation method to perform signal detection. First, the interference differential equation is given out only containing the measured received mixed signal and interference function, which have eliminated the detected signal. Second, the solution of interference can be solved through the interference differential equation which is already gotten. Finally, the detected signal can be recovered by the received mixed signal subtracting the interference which has been gotten from the interference differential equation.
The base band signal function must be eliminated in the differential equation based on transient detection theory, so the signal function should be selected to make its polynomial summation in the differential equations of polynomial equals zero, then, te"at is to be selected as signal function based on the analysis and study through differential equation deducing, and the solution which make use of numerical analysis is given out from the first-rank interference differential equation, the simulation software and hardware system is designed for digital signal processor and the correctness of the theory is verified through those experiments.
The problems of adjacent channel interference and intersymbols interference must be solved in the process of transient detection theory which is applied in the practical communication. Because frequency in the signal function of te-αt is relatively rich, the waveform of signal is distorted when it is through sharp cutoff filter. That will cause high Pe rate in transient detection, it is very adverse for detection. According to the characteristics of selected symbol function, the method about spectrum truncation compensation is taken to eliminate the adjacent channel interference and recovery of signal spectrum which should be detected. First, using a single without any interference symbol will be processed in FFT, then a series of coefficients will be gotten through comparing the outside points and the inside points of truncation, these coefficients are stored in the memory of digital signal processor. Finally, the digital signal processor processes sample of the actual signal with FFT, truncation and the all detected signal spectrum can be recovered after calculating with stored coefficients and inner points which is kept after truncation, so the source signal containing no adjacent channel interference can be gotten from Inverse Fast Fouier Transform (IFFT).The method of transient detection is proved entirely correct based on those above, the experimental system to eliminate adjacent channel interference is established from what is expounded above.
Quicker speed data transmission is one of the goals in data communication. A new method which improve transmission rate can be derived in virtue of coefficient comp-ensation calculation method to inhibit the interference of adjacent channel in a narrow band, the transmission rate can be improved about 4 times by the transient detection method and does not increase the bandwidth in the same Pe. The method has applied SSB in 725 wireless basestation on vehicles. The transient detection method plays an important role in high speed data transmission, anti strong same frequency interference and secure communication.
OFDM is a communication technology which is also a communication technology used for 3G and 4G in the future. The performance of inhibition of adjacent channel interference in the sub-carrier channel of OFDM will be improved by aid of characters of transient detection method in determinate weak signal detection. Then, the purpose to improve the transmission efficiency and reduce Pe will be realized in the ODFM sub-channel.
There is entirely difference principle between the transient detection theory and the traditional detection method. The transient detection theory has incomparable superiority in the fight against strong noise and interference in the same frequency, its principle can not be limited by Shannon channel capacity formula because the transient character is adopted based on interference differential equation. It is a breakthrough in digital signals detection area. It opens up a new field of study for weak known signal detection theory and high speed data transmission. Because the transient detection theory has unique characteristics in anti strong interference of the same frequency, it also can be used in secure communication and electronic countermeasure at the same time. It has extremely high academic and economic value.
瞬态检测理论所列微分方程具有在混合测知信号中消除确知受检信号码元的特点,所以受检码元信号函数的选择必须使其在微分方程中所形成的多项式和为零,通过对微分方程的分析和研究推导出瞬态检测码元函数为te-at的形式,根据瞬态检测理论建立了一、二阶干扰微分方程,并给出了数值解法,同时研究设计了适合数字信号处理器模拟实验的软件和硬件实验仿真系统,通过实验验证了瞬态检测理论的正确性。
码间干扰和邻道干扰的抑制是瞬态检测理论应用于实际通信必须要解决的问题,通过理论推导和分析可以发现干扰微分方程具有抑制码间干扰的能力。由于瞬态检测所使用的码元信号函数ta-at的频率成分较为丰富,在消除邻道干扰所使用的锐截止滤波器会造成码元的波形畸变而对瞬态检测非常不利,所以根据所选码元函数的特点,采取频谱截断补偿法来消除邻道干扰,并且能基本无失真的恢复出受检信号的频谱。
首先利用单个无任何干扰的码元经过快速傅立叶变换(FFT)后截断,再用截断点以外的频谱和截断点以内的点相比得到一系列的补偿系数,将这些系数存储在数字信号处理器的存储器内,然后再用数字信号处理器对实际接收的信号进行采样、FFT、截断,通过已存储的系数和截断内点的频谱计算来完全恢复出截断后的受检信号频谱,经傅立叶反变换(IFFT)后得到不含邻道干扰的受检信号,并以此建立了抑制邻道干扰的实验系统,实验证明检测结果比简单截断处理方法有了很大的改进。
高速数据传输也是数据通信追求的目标之一,根据抑制邻道干扰的系数补偿方法延伸推导出在窄带内提高传输速率的补偿计算方法,并且在保证瞬态检测准确率和不增加带宽的情况下,通过准周期频谱系数的补偿方法可以使传输速率提高4倍左右。该方法已通过对车载725单边带电台进行数据通信的应用设计和实验,由于载信码元的特殊性和检测方法的独特性,使其能在高速数据传输、抗强加性同频噪声干扰和保密通信中发挥重要的作用。
OFDM系统是未来3G和4G通信技术所要采用的“最后一公里”接入技术,利用瞬态检测理论阐述的某些方法来改善ODFM子信道中抑制邻道干扰的性能,从而达到在OFD系统中提高传输效率、降低误码率的目的。
本文所研究的瞬态检测理论具有与传统检测方法不同的检测机理,它的原理可以不受仙农信道容量公式的限制,在对抗强加性噪声或同频干扰上有着无法比拟的优越性,是数字信号检测理论的一个创新,为弱确知信号的检测理论和超高速数据传输开辟了一个新的研究领域,同时由于其检测方法的独特性和抗强同频干扰的特点,又可用于保密通信和电子对抗,具有较高的学术价值和经济价值。
This paper mainly studies the transient detection theory which is expounded as a new method to detect signal by the transient characteristic difference between the base band digital signal symbol waveforms and the additive noise. It varies from the traditional statistical detection methods in strong noise, which is mainly use of differential equation method to perform signal detection. First, the interference differential equation is given out only containing the measured received mixed signal and interference function, which have eliminated the detected signal. Second, the solution of interference can be solved through the interference differential equation which is already gotten. Finally, the detected signal can be recovered by the received mixed signal subtracting the interference which has been gotten from the interference differential equation.
The base band signal function must be eliminated in the differential equation based on transient detection theory, so the signal function should be selected to make its polynomial summation in the differential equations of polynomial equals zero, then, te"at is to be selected as signal function based on the analysis and study through differential equation deducing, and the solution which make use of numerical analysis is given out from the first-rank interference differential equation, the simulation software and hardware system is designed for digital signal processor and the correctness of the theory is verified through those experiments.
The problems of adjacent channel interference and intersymbols interference must be solved in the process of transient detection theory which is applied in the practical communication. Because frequency in the signal function of te-αt is relatively rich, the waveform of signal is distorted when it is through sharp cutoff filter. That will cause high Pe rate in transient detection, it is very adverse for detection. According to the characteristics of selected symbol function, the method about spectrum truncation compensation is taken to eliminate the adjacent channel interference and recovery of signal spectrum which should be detected. First, using a single without any interference symbol will be processed in FFT, then a series of coefficients will be gotten through comparing the outside points and the inside points of truncation, these coefficients are stored in the memory of digital signal processor. Finally, the digital signal processor processes sample of the actual signal with FFT, truncation and the all detected signal spectrum can be recovered after calculating with stored coefficients and inner points which is kept after truncation, so the source signal containing no adjacent channel interference can be gotten from Inverse Fast Fouier Transform (IFFT).The method of transient detection is proved entirely correct based on those above, the experimental system to eliminate adjacent channel interference is established from what is expounded above.
Quicker speed data transmission is one of the goals in data communication. A new method which improve transmission rate can be derived in virtue of coefficient comp-ensation calculation method to inhibit the interference of adjacent channel in a narrow band, the transmission rate can be improved about 4 times by the transient detection method and does not increase the bandwidth in the same Pe. The method has applied SSB in 725 wireless basestation on vehicles. The transient detection method plays an important role in high speed data transmission, anti strong same frequency interference and secure communication.
OFDM is a communication technology which is also a communication technology used for 3G and 4G in the future. The performance of inhibition of adjacent channel interference in the sub-carrier channel of OFDM will be improved by aid of characters of transient detection method in determinate weak signal detection. Then, the purpose to improve the transmission efficiency and reduce Pe will be realized in the ODFM sub-channel.
There is entirely difference principle between the transient detection theory and the traditional detection method. The transient detection theory has incomparable superiority in the fight against strong noise and interference in the same frequency, its principle can not be limited by Shannon channel capacity formula because the transient character is adopted based on interference differential equation. It is a breakthrough in digital signals detection area. It opens up a new field of study for weak known signal detection theory and high speed data transmission. Because the transient detection theory has unique characteristics in anti strong interference of the same frequency, it also can be used in secure communication and electronic countermeasure at the same time. It has extremely high academic and economic value.
引文
[1]侯强,吴国平,黄鹰.统计信号分析与处理,北京：清华大学出版社,2009.
[2]樊昌信.通信原理,北京：国防工业出版社,2001.
[3]赵子尧.检测弱确知离散信号的新理论.信息与控制,1980年,第1期：18-20.
[4]赵子尧,许会.检测理论在抗限带干扰中的应用.北京：兵工学报,1991年第4期：23-26.
[5]吴伟陵.移动通信原理.北京：电子工业出版社,2005.
[6]段凤增.信号检测理论(第二版)哈尔滨：哈尔滨工业大学出版社,2002.
[7]Eric Lawrey. The suitability of OFDM as a modulation technique for wireless communications with CDMA comparison, James Cook University, Oct,1997.
[8]李雪华.抗干扰技术分析.无线电工程,2001年5期：52-54.
[9]GA. Doelz, E. T. Heart, and D.L.Martin. Binary data transmission techniques for linear systems, Proc. I. R. E.vol45, May,1997:656-661.
[10]Lizhi. A ew method of detecting the weak deterministic signal from strong additive noise, iwis2009 Conference, Vol.1:549-551.
[11]周求湛.弱信号检测与估计,北京：北京航空航天大学出版社,2007.
[12]B. R. Saltzberg. Performance of an efficient parallel data transmission system, IEEE Trans. Commun, COM-15(6), Dec.1967:805-810.
[13]赵树杰,赵建勋.信号检测与估值理论,北京：清华大学出版社,2005.
[14]L. J. Cimini. Analysis and simulation of a digital mobile channel using orthogonal frequency discrete Fourier transform, IEEE Trans. Commun, Vol33, no.7, July, 1985:665-675.
[15]PPechac, M. Klepal. Effective indoor propagation predictions, Vehicular Technology conference, VTC 2001 Fall, IEEE VTS 54th,2001, vol.3:1247-1250.
[16]高晋占.微弱信号检测.北京：清华大学出版社,2007.
[17]Matthias Patzold. A new and optimal method for derivation of deterministic simulation models for mobile radio channels, in Proc. IEEE 46# Veh. Technol. Conf. VTC'96, Atlanta, Georgia, USA, April/May 1996:1423-1427.
[18]Theodore S. Rappaport. Wireless Communications Principles& Practice, Prentice Hall PTR,1996.
[19]胡宴如.高频电子线路第二版.北京：高等教育出版社,2001.
[20]Long leyA. G, Rice, PL. Predication of Tropospheric Radio Transmission Loss Over Irregular Tarrain:A Computer Method, ESSA Technical Report, ERL79-ITS 67.1968.
[21](美)舍恩霍大,等著.信号检测与估计—理论与应用(英文版).北京：电子工业出版社,2007.
[22]W.C.Jakes, Microwave Mobile Communictions, NewYork:Wiley,1974.
[23]R. H. Clarke. A statistical theory of mobile-radio reception, Bell Syst. Tech. July-Aug.1968. vol.47:957-100.
[24]郭梯云,杨家玮,李建东.数字移动通信(修订本).北京：人民邮电出版社,2001.
[25]斯克拉.数字通信-基础与应用(第二版).北京：电子工业出版社,2010.
[26]S. B. Weinstein and PM. EbeM. Data transmission frequency-division multiplexing using the discrete Fourier Transform,IEEE Tran. Commun. COM-10(3), Dec.1976:805-810
[27]任大孟,李成杰.强噪声背景下的信号检测方法研究,信息技术杂志,2003年6月,27卷,第6期：67-68
[28]周围.移动通信智能天线关键技术研究：(博士论文).成都：电子科技大学,2009.
[29]夏术泉.通信电子线路.北京,北京理工大学出版社,2010.
[30]张明友,吕明.信号检测与估计(第二版).北京：电子工业出版社,2005年6月.
[31]程佩青.数字信号处理教程(第二版).北京：清华大学出版社,2001年2月.
[32]赵惠昌,张淑宁.电子对抗理论与方法.北京：国防工业出版社,2010年3月.
[33]郑君里.信号与系统.北京：清华大学出版社,1985.
[34]付伟舰载电子对抗技术的发展现状.船舶电子工程,1999年05期：22-24.
[35]王高雄.常微分方程.北京：高等教育出版社,2006年9月.
[36]乔瑞萍,崔涛,张芳娟.TMS320C54x DSP原理及应用.西安：西安电子科技大学出版社,2005.
[37]Barhat M. Signal Detection and Estimation. Boston:Artech House,1991.
[38]奥本海姆.信号与系统.北京：电子工业出版社,2009.
[39]侯强,吴国平,黄鹰.统计信号分析与处理.北京：清华大学出版社,2009.
[40]蔚婧.合成孔径雷达地面运动目标检测若干关键技术研究：(博士学位论文).西安：电子科技大学,2009年.
[41]Wan Mingxi, Zhao Shouguo, Zou Yuan. Estimate Methods of Subglottal Voice Source Based on Nonlinear Inverse Filtering Technique. JOURNAL OF XI'AN JIAOTONG UNIVERSITY, 1999-09:56-57.
[42]B.B.涅梅慈基.微分方程定性理论的某些问题.数学进展,2007年,第3期：32-35.
[43]姚富强.通信抗干扰工程与实践.北京：电子工业出版社,2008.
[44]张明友,吕明.信号检测与估计(第二版).北京：电子工业出版社,2005.
[45]余成波,杨菁,杨如民,等.数字信号处理及MATLAB实现.北京：清华大学出版社,2005.
[46]高西全,丁玉美,阔永红.数字信号处理-原理、实现及应用.北京：电子工业出版社,2010.
[47]R.L.布鲁斯特.现代电信技术.北京：人民邮电出版社,2008.
[48]Zhanglijuan, Zhangbaihua, Yexuzhen. Fast Fourier transform and its applications [J]. Opto-Electronic Engineering,2004,31(z1):1-3.
[49]金明杰.调频发射机各种预加重电路的介绍与分析.卫星电视与宽带多媒体,2009年22期：18-20.
[50]Srinath M D and Rajasekaran P K. An Introduction to Statistical Signal Processing with Application. New York:John Wiley& Sons,1979.
[51]周荫清.信息理论基础.北京：北京航空航天大学出版社,2002.
[52]杜比芳.抽样技术及其应用.北京：清华大学出版社,2005.
[53]王仁宏.数值逼近.北京：高等教育出版社,1999.
[54]徐君毅,张友德,余宝红,等.单片机微型计算机原理与应用.上海：上海科学技术出版社,1987.
[55]高欢,王玉松,刘连生.基于单片机和模数转换器的实用测试系统.计算机测量与控制,2011年01期：29-3l
[56]林航,胡林丰,王鹏飞.基于最大信噪比的带噪测控信号分离算法.航天电子对抗,2011年03期：17-20.
[57](美)理查兹(Ricnards, M. A.)雷达信号处理基础.北京：电子工业出版社,2008.
[58]邹亮.射频接收机中模拟信道滤波器设计：(硕士学位论文).上海：复旦大学,2009年.
[59]袁端才,吴强.二阶微分方程第二边值问题模糊状态的数值求解.数学理论与应用,2003年02期：31-33.
[60]吴宗敏,苏仰峰.数值逼近.北京：科学出版社,2008.
[61]陈静.雷达无源干扰原理.北京：国防工业出版社,2009.
[62]周浩敏,王睿.测试信号处理技术(第2版).北京：北京航空航天大学出版社,2009.
[63]焦卫东,杨世锡,吴昭同.基于独立分量分析的噪声消除技术研究.杭州：浙江大学学报,2004年7月,第36卷7期：872-876.
[63]Huang Shenhe. On Deemphasis and Preemphasis Techniques. Journal of Yuzhou University (Natural Sciences Edition),1990-04:127-131.
[64]WUJianlong, YUYing. A High Performance Sample and Hold Circuit with Double sampling, Modern Electronics Technique,2007-07:716-719.
[65]董滨,音频频带噪声自适应处理的研究：(硕十学位论文),青岛：山东科技大学,2003年.
[66]樊吕信,张甫翊,徐炳祥,等.通信原理(第四版).北京：国防工业出版社,1998.
[67]Fu Hong, Xie Mujun. The Research On Distortion Measurement And Compensation Technology In Photoelectricity Measurement System. CMCE2010, Volume4:871-875.
[68]M.L. Doelz, E. T. H ealda ndD. L. M artin. Binary datar tansmission techniques for linear systems. In Proc. IRE May 1957, Vol45, No.5:656-661.
[69]周炯槃,庞沁华.通信原理(合订本).北京：北京邮电大学出版社,2005.
[70]许建霞,聂明新.基于MATLAB的数字基带传输系统的仿真.武汉：武汉理工大学学报,2005年03期：35-41.
[71]BinghamJAC. ADSL, VDSL and Multicarrier Modulatio. New York:Wiley-Interscience, 2000.
[72]P.Robertson, S. Kaiser. Analysis of the effects of phase-noise in orthogonal frequency division multiplex systems. in Proc ICC95, June 1995.Seatle, WA, Vol.3: 18-22.
[73]李杏梅,严国萍,陈亮.图像时域方向与频域方向的关系研究.计算机工程与应用,2010年08月,第8期：12-16.
[74]Ahmed Al-Dabbagh, Michael Darnell, The theory and application of reciprocal pairs of periodic sequences. Springer Berlin Heidelberg,1997.
[75]徐建华,李善庆.基于双二次样条函数的一类保形拟插值.杭州：浙江大学学报(理工版),2005年05期：52-56.
[76]曾清红,卢德唐.基于移动最小二乘法的曲线曲面拟合.北京：工程图学学报,2004年01期：21-26.
[77]ShiLei. The Studies of Fitting Function Based on the Least Squares Support Vector Machine. Computer Knowledge and Technology(Academic Exchange),2007:343-349.
[78]Weinstein S B and Ebert P M. Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communications,1971-19(5):628-634.
[79]陈敏修.确定信号调幅随机信号频谱的一种算法.上海：应用科学学报,1988年04期：21-24.
[80]Lizhi.The desigen of no distortion filter based on transient detection. ICCSIT2010,2010:874-877.
[81]Jeon W G, Chuaug K H, and Cho Y S, An equalization technique for orthogonal frequency divisiou multiplexing systems in time-variant rnultipath channels. IEEE Trans. Comnuuiications,1999,49(1):1185-1191.
[82]郝妍,任水生.频谱分析仪频响补偿技术.北京：仪器仪表学报,2001年03期：37-42.
[83]Jiang Bofeng Zhang Jianguo Yin,2-D RAKE RECEIVER BASED ON SPACE-TIME CHANNEL PARAMETER ESTIMATION. Journal of Electronics(China),2001,02:19-24.
[84]李志.用DSP对确知码元的接收端进行无失真滤波器设计.全国第九届信号与信息处理联合学术会议论文集,北京：北京航空航天大学出版社,2005年10月：59-63.
[85]Issa Haitham M. Ata, Sun Jian, Qiu Pei Liang. Using modified Hamming window technique to improve the side-lob rejection of the frequency response of linear matched SAW filters, Journal of Circuits and Systems 2002-02.
[86]刘立国.用MAX264构成椭圆函数滤波器的设计.电子技术应用,1998年02期：16-19.
[87]MIAO Jin, ZHANGJianying, YANJingjie, The Simulation Realization and Application of Sampling rate Transforming Theory. Information Technology and Information,2008, 03:37-42
[88]姚璞,余金木.IC-725电台频率不稳对通信质量的影响及改进措施.军事通信技术,1996年02期：25-29.
[89]龙腾,戴相峰,孙亚民.基于专用芯片的高速实时FFT系统实现研究.北京：北京理工大学学报,1997年06期：65-69.
[90]陈光平,王先明,祝恒江.多普勒效应的系统研究.芜湖：安徽师范大学学报(自然科学版),2006年04期：45-48.
[91]Pollet T and Peeters M. Synchronization with DMT modulation. IEEE Communication Magazine,1999,16(4):80-86.
[92]朱维乐.移动宽带视频广播传输系统及关键技术研究,国家自然科学基金中请书(内部资料),2003年3月.
[93]Wu Y Y, Pliszka E and Caron Betal. Comparison of Terrestrial DTV Transmission Systems:The ATSC 8-VSB, the DVB-T COFDM, and the ISDB-T BST OFDM. IEEE Trans. on B roadcasting. Jun 2004 6(2):100-112
[94]高建勤,熊淑华.正交频分复用(OFDM)原理及其实现.四川省通信学会学术年会论文集,2004年：343-348.
[95]束锋,吴乐南.基于止交频分复用的频域差分幅度相位调制.北京：电子与信息学报,2002年04期：16-20.
[96]Alard M, Lasalle R. Principles of Modulation and Channel Coding for Digital Broadcasting for mobile Receivers. EBU Technical Review. No.224:168-190.
[97]孙雪俊,周祖成OFDM-CDMA检测技术性能分析.现代电信科技,2001年02期：27-31.
[98]董莉霞OFDM技术及其应用,电气化铁道,2006年02期：13-17.
[99]Tiejun Lu and Jie Chen. ML estimation of timing and frequency offset using multiple OFDM symbols in OFDM systems, IEEE GLOBECOM 2003:2282-2284.
[100]Chunlin Yan, Jiayi Fang, Youxi Tang. OFDM Synchronization Using PN Sequence and Its Performance. IEEE, conference, Indoor and Mobile Radio Communications (Volume 1), May 2003:1232-1237.
[101]Yun Hee Kim, Young Kwon Hahm. An efficient frequency offset estimaton timing and frequency synchronization in OFDM system, IEEE Conference,1999:1221-1224.
[102]张忠培,倪顺康OFDM在高速移动下的载波间干扰消除.成都：电子科技大学学报,2003年5月32期：503-507.
[103]赵利利,邓平,陈红,等.OFDM系统中载波间干扰抑制方法.电视技术,2008年11月,第48卷,11期：43-46.
[104]Steeudam H and Moeneclaey M, Analysis mid optimization of the performance of OFDM on frequency-selective tune-selective channels. IEEE Times. Communications, 1999,47(12):1811-1819.
[105]Robert Chang, Orthogonal frequency division multiplexing. US. Patent3 filed November 14,1966.Issued in Jan 6,1970.
[106]A. Glavieux, C. Loat, Turbo equalization over a frequency selective channel. International Symposium on Turbo codes and related to pics. Sep 1997:96-102.
[107]苏兵,宋卫星,钟朗.利用OFDM技术改善CDMA系统性能.通信与信息技术会议论文集,2006年：534-538.
[108]孙晓云,李蓓,熊艳平等.多径衰落信道中分组空时编码OFDM传输方案.西安：西安科技大学学报,2007年03期：43-47.
[109]李晓东,周尚波,李春光,等OFDM通信系统中的最优合并空间分集算法.计算机科学,2005年12期：33-38.
[110]QI Bing, LI Ya-wei, SUN Yi etc. OFDM Channel Estimation for Broadband Wireless Based on Fractal Interpolation and Adaptive Filtering. ICCIA2010, VOL3:543-548.
[111]Tellambura C. A coding technique for reduciug peak to average power ratio in OFDM. In Proceedings of Globecorn 1998, Vol.5:2783-2787.
[112]Sathanmiffian K and Tellarnbura C. Coding to Reduce PAPR and PICR of an OFDM Signal. IEEE Communications Letters,2002,6(8):316-318.
[113]Lizhi.The Research about Spectral Correlation of Sub-carrier of OFDM and Blind Recognition about Modulation Type, CECNet, IEEE,2011:4544-4547.
[114]ZHOU Yu-juan, CHENG Ren. The research on Auto-recognition of OFDM Signal Modulation. Communications Technology.2008:Vol.41, Nol,4-5:121-125.
[115]P. H. Moose. A Technique for OFDM frequency correction. IEEE Trans, on Commn, Vol.42, No.10, Oct.1994:2908-2914.
[116]Gardner W A. Cyclostationarity in Communications and Signal processing. IEEE press, New York.1994.
[117]HUANG Chun-lin, LIU Zheng, JIANG Wenli, etc. Chip width, carrier frequency and amplitude estimation of DS signal based on cyclic spectrum amplitude. ACTA Electronic Sinica,2002,30(9):1353-1356.
[118]蒋清平,杨士中,张天骐.低信噪比OFDM信号符号周期盲估计.计算机应用,2010年06期：45-49.
[119]Linnartz J P and Gorokhov A. New equalization approach for OFDM over dispersive and rapidly time varying channel. In Proc. of IEEE Int. Symposium Personal Indoor Mobile Radio Communications,2000, Vol.1:1375-1379.
[120]周志刚,程时昕,陈明,等OFDM系统中的迭代并行子载波间干扰消除技术.广州：电路与系统学报,2004年10月,第9卷,第5期：145-148.
[121]Steendarn H and Moeneclaey M. Analysis and optimization of the perfomance of OFDM on frequency selective time-selective channels. IEEE Trans. Communication,1999, 47(12):1811-1819.
[122]Jeon W G, Chuang K H, and Cho Y S. An equalization technique for orthogonal frequency division multiplexing systems in time-variant multipath channels. IEEE Trans. Communications,1999,49(1):1185-1191.
[123]Russel M and Stuber G L. Interchannel interference analysis of OFDM in mobile environment. In Proceedings of IEEE Vehicular Technology Conference 1995, VTC, VOL.2: 820-824.
[124]Gorokhov A and Linnartz J-P. Robust OFDM receiver for dispersive time varying channels:Equalization and channel acquisition. In Proc. of IEEE Int. Conference on communication,2002, Vol.1:470-474.
[125]Cai X and Giannakis G B. Low-complexity ICI suppression for OFDM over time and frequency-selective Rayleigh fading channels. In Proc. of Asilornar Conf. Signals, Systems and Computers,2002, vol.1:22-26.
[126]Annstrong J, Grant P M, and Povey G. Polynornial cancellation coding of OFDM to reduce intercarrier interference due to Doppler spread. In Proc. of IEEE Global Telecommunications Conf.1998, Vol.1:2771-2776.
[127]Starrioulis S, Diggavi N, and Al-Dhahir N. Intercarrier interference in MIMO OFDM. IEEE Trans. Signal Processing,2002,50(10):2451-2464.
[128]Mostofi Y, Cox D C and Bahai. A ICI mitigation for mobile OFDM receivers. In Proc. of IEEE International Conference on Communications (ICC), Ancorage, Alaska, May 2003:3351-3352.
[129]Ki Young Han. Time Domain Equalization Using Linear Phase Interpolation for OFDM in Time Vairant Multipath Channel swith Frequency offset. IEEE VTC 2000:1255-1259.
[130]Choi Y-S, Voltz P J and Cassara F A. On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels. IEEE Trans. Communications,2001,49(8):1375-1387.
[131]X. Huang, J. Lu, J. Z heng and J. Chuang. Reduciton Of peak-to-average power ratio of OFDM signals with companding transmform, Electronics Letters, April.2001: 506-507.
[2]樊昌信.通信原理,北京：国防工业出版社,2001.
[3]赵子尧.检测弱确知离散信号的新理论.信息与控制,1980年,第1期：18-20.
[4]赵子尧,许会.检测理论在抗限带干扰中的应用.北京：兵工学报,1991年第4期：23-26.
[5]吴伟陵.移动通信原理.北京：电子工业出版社,2005.
[6]段凤增.信号检测理论(第二版)哈尔滨：哈尔滨工业大学出版社,2002.
[7]Eric Lawrey. The suitability of OFDM as a modulation technique for wireless communications with CDMA comparison, James Cook University, Oct,1997.
[8]李雪华.抗干扰技术分析.无线电工程,2001年5期：52-54.
[9]GA. Doelz, E. T. Heart, and D.L.Martin. Binary data transmission techniques for linear systems, Proc. I. R. E.vol45, May,1997:656-661.
[10]Lizhi. A ew method of detecting the weak deterministic signal from strong additive noise, iwis2009 Conference, Vol.1:549-551.
[11]周求湛.弱信号检测与估计,北京：北京航空航天大学出版社,2007.
[12]B. R. Saltzberg. Performance of an efficient parallel data transmission system, IEEE Trans. Commun, COM-15(6), Dec.1967:805-810.
[13]赵树杰,赵建勋.信号检测与估值理论,北京：清华大学出版社,2005.
[14]L. J. Cimini. Analysis and simulation of a digital mobile channel using orthogonal frequency discrete Fourier transform, IEEE Trans. Commun, Vol33, no.7, July, 1985:665-675.
[15]PPechac, M. Klepal. Effective indoor propagation predictions, Vehicular Technology conference, VTC 2001 Fall, IEEE VTS 54th,2001, vol.3:1247-1250.
[16]高晋占.微弱信号检测.北京：清华大学出版社,2007.
[17]Matthias Patzold. A new and optimal method for derivation of deterministic simulation models for mobile radio channels, in Proc. IEEE 46# Veh. Technol. Conf. VTC'96, Atlanta, Georgia, USA, April/May 1996:1423-1427.
[18]Theodore S. Rappaport. Wireless Communications Principles& Practice, Prentice Hall PTR,1996.
[19]胡宴如.高频电子线路第二版.北京：高等教育出版社,2001.
[20]Long leyA. G, Rice, PL. Predication of Tropospheric Radio Transmission Loss Over Irregular Tarrain:A Computer Method, ESSA Technical Report, ERL79-ITS 67.1968.
[21](美)舍恩霍大,等著.信号检测与估计—理论与应用(英文版).北京：电子工业出版社,2007.
[22]W.C.Jakes, Microwave Mobile Communictions, NewYork:Wiley,1974.
[23]R. H. Clarke. A statistical theory of mobile-radio reception, Bell Syst. Tech. July-Aug.1968. vol.47:957-100.
[24]郭梯云,杨家玮,李建东.数字移动通信(修订本).北京：人民邮电出版社,2001.
[25]斯克拉.数字通信-基础与应用(第二版).北京：电子工业出版社,2010.
[26]S. B. Weinstein and PM. EbeM. Data transmission frequency-division multiplexing using the discrete Fourier Transform,IEEE Tran. Commun. COM-10(3), Dec.1976:805-810
[27]任大孟,李成杰.强噪声背景下的信号检测方法研究,信息技术杂志,2003年6月,27卷,第6期：67-68
[28]周围.移动通信智能天线关键技术研究：(博士论文).成都：电子科技大学,2009.
[29]夏术泉.通信电子线路.北京,北京理工大学出版社,2010.
[30]张明友,吕明.信号检测与估计(第二版).北京：电子工业出版社,2005年6月.
[31]程佩青.数字信号处理教程(第二版).北京：清华大学出版社,2001年2月.
[32]赵惠昌,张淑宁.电子对抗理论与方法.北京：国防工业出版社,2010年3月.
[33]郑君里.信号与系统.北京：清华大学出版社,1985.
[34]付伟舰载电子对抗技术的发展现状.船舶电子工程,1999年05期：22-24.
[35]王高雄.常微分方程.北京：高等教育出版社,2006年9月.
[36]乔瑞萍,崔涛,张芳娟.TMS320C54x DSP原理及应用.西安：西安电子科技大学出版社,2005.
[37]Barhat M. Signal Detection and Estimation. Boston:Artech House,1991.
[38]奥本海姆.信号与系统.北京：电子工业出版社,2009.
[39]侯强,吴国平,黄鹰.统计信号分析与处理.北京：清华大学出版社,2009.
[40]蔚婧.合成孔径雷达地面运动目标检测若干关键技术研究：(博士学位论文).西安：电子科技大学,2009年.
[41]Wan Mingxi, Zhao Shouguo, Zou Yuan. Estimate Methods of Subglottal Voice Source Based on Nonlinear Inverse Filtering Technique. JOURNAL OF XI'AN JIAOTONG UNIVERSITY, 1999-09:56-57.
[42]B.B.涅梅慈基.微分方程定性理论的某些问题.数学进展,2007年,第3期：32-35.
[43]姚富强.通信抗干扰工程与实践.北京：电子工业出版社,2008.
[44]张明友,吕明.信号检测与估计(第二版).北京：电子工业出版社,2005.
[45]余成波,杨菁,杨如民,等.数字信号处理及MATLAB实现.北京：清华大学出版社,2005.
[46]高西全,丁玉美,阔永红.数字信号处理-原理、实现及应用.北京：电子工业出版社,2010.
[47]R.L.布鲁斯特.现代电信技术.北京：人民邮电出版社,2008.
[48]Zhanglijuan, Zhangbaihua, Yexuzhen. Fast Fourier transform and its applications [J]. Opto-Electronic Engineering,2004,31(z1):1-3.
[49]金明杰.调频发射机各种预加重电路的介绍与分析.卫星电视与宽带多媒体,2009年22期：18-20.
[50]Srinath M D and Rajasekaran P K. An Introduction to Statistical Signal Processing with Application. New York:John Wiley& Sons,1979.
[51]周荫清.信息理论基础.北京：北京航空航天大学出版社,2002.
[52]杜比芳.抽样技术及其应用.北京：清华大学出版社,2005.
[53]王仁宏.数值逼近.北京：高等教育出版社,1999.
[54]徐君毅,张友德,余宝红,等.单片机微型计算机原理与应用.上海：上海科学技术出版社,1987.
[55]高欢,王玉松,刘连生.基于单片机和模数转换器的实用测试系统.计算机测量与控制,2011年01期：29-3l
[56]林航,胡林丰,王鹏飞.基于最大信噪比的带噪测控信号分离算法.航天电子对抗,2011年03期：17-20.
[57](美)理查兹(Ricnards, M. A.)雷达信号处理基础.北京：电子工业出版社,2008.
[58]邹亮.射频接收机中模拟信道滤波器设计：(硕士学位论文).上海：复旦大学,2009年.
[59]袁端才,吴强.二阶微分方程第二边值问题模糊状态的数值求解.数学理论与应用,2003年02期：31-33.
[60]吴宗敏,苏仰峰.数值逼近.北京：科学出版社,2008.
[61]陈静.雷达无源干扰原理.北京：国防工业出版社,2009.
[62]周浩敏,王睿.测试信号处理技术(第2版).北京：北京航空航天大学出版社,2009.
[63]焦卫东,杨世锡,吴昭同.基于独立分量分析的噪声消除技术研究.杭州：浙江大学学报,2004年7月,第36卷7期：872-876.
[63]Huang Shenhe. On Deemphasis and Preemphasis Techniques. Journal of Yuzhou University (Natural Sciences Edition),1990-04:127-131.
[64]WUJianlong, YUYing. A High Performance Sample and Hold Circuit with Double sampling, Modern Electronics Technique,2007-07:716-719.
[65]董滨,音频频带噪声自适应处理的研究：(硕十学位论文),青岛：山东科技大学,2003年.
[66]樊吕信,张甫翊,徐炳祥,等.通信原理(第四版).北京：国防工业出版社,1998.
[67]Fu Hong, Xie Mujun. The Research On Distortion Measurement And Compensation Technology In Photoelectricity Measurement System. CMCE2010, Volume4:871-875.
[68]M.L. Doelz, E. T. H ealda ndD. L. M artin. Binary datar tansmission techniques for linear systems. In Proc. IRE May 1957, Vol45, No.5:656-661.
[69]周炯槃,庞沁华.通信原理(合订本).北京：北京邮电大学出版社,2005.
[70]许建霞,聂明新.基于MATLAB的数字基带传输系统的仿真.武汉：武汉理工大学学报,2005年03期：35-41.
[71]BinghamJAC. ADSL, VDSL and Multicarrier Modulatio. New York:Wiley-Interscience, 2000.
[72]P.Robertson, S. Kaiser. Analysis of the effects of phase-noise in orthogonal frequency division multiplex systems. in Proc ICC95, June 1995.Seatle, WA, Vol.3: 18-22.
[73]李杏梅,严国萍,陈亮.图像时域方向与频域方向的关系研究.计算机工程与应用,2010年08月,第8期：12-16.
[74]Ahmed Al-Dabbagh, Michael Darnell, The theory and application of reciprocal pairs of periodic sequences. Springer Berlin Heidelberg,1997.
[75]徐建华,李善庆.基于双二次样条函数的一类保形拟插值.杭州：浙江大学学报(理工版),2005年05期：52-56.
[76]曾清红,卢德唐.基于移动最小二乘法的曲线曲面拟合.北京：工程图学学报,2004年01期：21-26.
[77]ShiLei. The Studies of Fitting Function Based on the Least Squares Support Vector Machine. Computer Knowledge and Technology(Academic Exchange),2007:343-349.
[78]Weinstein S B and Ebert P M. Data transmission by frequency-division multiplexing using the discrete Fourier transform. IEEE Transactions on Communications,1971-19(5):628-634.
[79]陈敏修.确定信号调幅随机信号频谱的一种算法.上海：应用科学学报,1988年04期：21-24.
[80]Lizhi.The desigen of no distortion filter based on transient detection. ICCSIT2010,2010:874-877.
[81]Jeon W G, Chuaug K H, and Cho Y S, An equalization technique for orthogonal frequency divisiou multiplexing systems in time-variant rnultipath channels. IEEE Trans. Comnuuiications,1999,49(1):1185-1191.
[82]郝妍,任水生.频谱分析仪频响补偿技术.北京：仪器仪表学报,2001年03期：37-42.
[83]Jiang Bofeng Zhang Jianguo Yin,2-D RAKE RECEIVER BASED ON SPACE-TIME CHANNEL PARAMETER ESTIMATION. Journal of Electronics(China),2001,02:19-24.
[84]李志.用DSP对确知码元的接收端进行无失真滤波器设计.全国第九届信号与信息处理联合学术会议论文集,北京：北京航空航天大学出版社,2005年10月：59-63.
[85]Issa Haitham M. Ata, Sun Jian, Qiu Pei Liang. Using modified Hamming window technique to improve the side-lob rejection of the frequency response of linear matched SAW filters, Journal of Circuits and Systems 2002-02.
[86]刘立国.用MAX264构成椭圆函数滤波器的设计.电子技术应用,1998年02期：16-19.
[87]MIAO Jin, ZHANGJianying, YANJingjie, The Simulation Realization and Application of Sampling rate Transforming Theory. Information Technology and Information,2008, 03:37-42
[88]姚璞,余金木.IC-725电台频率不稳对通信质量的影响及改进措施.军事通信技术,1996年02期：25-29.
[89]龙腾,戴相峰,孙亚民.基于专用芯片的高速实时FFT系统实现研究.北京：北京理工大学学报,1997年06期：65-69.
[90]陈光平,王先明,祝恒江.多普勒效应的系统研究.芜湖：安徽师范大学学报(自然科学版),2006年04期：45-48.
[91]Pollet T and Peeters M. Synchronization with DMT modulation. IEEE Communication Magazine,1999,16(4):80-86.
[92]朱维乐.移动宽带视频广播传输系统及关键技术研究,国家自然科学基金中请书(内部资料),2003年3月.
[93]Wu Y Y, Pliszka E and Caron Betal. Comparison of Terrestrial DTV Transmission Systems:The ATSC 8-VSB, the DVB-T COFDM, and the ISDB-T BST OFDM. IEEE Trans. on B roadcasting. Jun 2004 6(2):100-112
[94]高建勤,熊淑华.正交频分复用(OFDM)原理及其实现.四川省通信学会学术年会论文集,2004年：343-348.
[95]束锋,吴乐南.基于止交频分复用的频域差分幅度相位调制.北京：电子与信息学报,2002年04期：16-20.
[96]Alard M, Lasalle R. Principles of Modulation and Channel Coding for Digital Broadcasting for mobile Receivers. EBU Technical Review. No.224:168-190.
[97]孙雪俊,周祖成OFDM-CDMA检测技术性能分析.现代电信科技,2001年02期：27-31.
[98]董莉霞OFDM技术及其应用,电气化铁道,2006年02期：13-17.
[99]Tiejun Lu and Jie Chen. ML estimation of timing and frequency offset using multiple OFDM symbols in OFDM systems, IEEE GLOBECOM 2003:2282-2284.
[100]Chunlin Yan, Jiayi Fang, Youxi Tang. OFDM Synchronization Using PN Sequence and Its Performance. IEEE, conference, Indoor and Mobile Radio Communications (Volume 1), May 2003:1232-1237.
[101]Yun Hee Kim, Young Kwon Hahm. An efficient frequency offset estimaton timing and frequency synchronization in OFDM system, IEEE Conference,1999:1221-1224.
[102]张忠培,倪顺康OFDM在高速移动下的载波间干扰消除.成都：电子科技大学学报,2003年5月32期：503-507.
[103]赵利利,邓平,陈红,等.OFDM系统中载波间干扰抑制方法.电视技术,2008年11月,第48卷,11期：43-46.
[104]Steeudam H and Moeneclaey M, Analysis mid optimization of the performance of OFDM on frequency-selective tune-selective channels. IEEE Times. Communications, 1999,47(12):1811-1819.
[105]Robert Chang, Orthogonal frequency division multiplexing. US. Patent3 filed November 14,1966.Issued in Jan 6,1970.
[106]A. Glavieux, C. Loat, Turbo equalization over a frequency selective channel. International Symposium on Turbo codes and related to pics. Sep 1997:96-102.
[107]苏兵,宋卫星,钟朗.利用OFDM技术改善CDMA系统性能.通信与信息技术会议论文集,2006年：534-538.
[108]孙晓云,李蓓,熊艳平等.多径衰落信道中分组空时编码OFDM传输方案.西安：西安科技大学学报,2007年03期：43-47.
[109]李晓东,周尚波,李春光,等OFDM通信系统中的最优合并空间分集算法.计算机科学,2005年12期：33-38.
[110]QI Bing, LI Ya-wei, SUN Yi etc. OFDM Channel Estimation for Broadband Wireless Based on Fractal Interpolation and Adaptive Filtering. ICCIA2010, VOL3:543-548.
[111]Tellambura C. A coding technique for reduciug peak to average power ratio in OFDM. In Proceedings of Globecorn 1998, Vol.5:2783-2787.
[112]Sathanmiffian K and Tellarnbura C. Coding to Reduce PAPR and PICR of an OFDM Signal. IEEE Communications Letters,2002,6(8):316-318.
[113]Lizhi.The Research about Spectral Correlation of Sub-carrier of OFDM and Blind Recognition about Modulation Type, CECNet, IEEE,2011:4544-4547.
[114]ZHOU Yu-juan, CHENG Ren. The research on Auto-recognition of OFDM Signal Modulation. Communications Technology.2008:Vol.41, Nol,4-5:121-125.
[115]P. H. Moose. A Technique for OFDM frequency correction. IEEE Trans, on Commn, Vol.42, No.10, Oct.1994:2908-2914.
[116]Gardner W A. Cyclostationarity in Communications and Signal processing. IEEE press, New York.1994.
[117]HUANG Chun-lin, LIU Zheng, JIANG Wenli, etc. Chip width, carrier frequency and amplitude estimation of DS signal based on cyclic spectrum amplitude. ACTA Electronic Sinica,2002,30(9):1353-1356.
[118]蒋清平,杨士中,张天骐.低信噪比OFDM信号符号周期盲估计.计算机应用,2010年06期：45-49.
[119]Linnartz J P and Gorokhov A. New equalization approach for OFDM over dispersive and rapidly time varying channel. In Proc. of IEEE Int. Symposium Personal Indoor Mobile Radio Communications,2000, Vol.1:1375-1379.
[120]周志刚,程时昕,陈明,等OFDM系统中的迭代并行子载波间干扰消除技术.广州：电路与系统学报,2004年10月,第9卷,第5期：145-148.
[121]Steendarn H and Moeneclaey M. Analysis and optimization of the perfomance of OFDM on frequency selective time-selective channels. IEEE Trans. Communication,1999, 47(12):1811-1819.
[122]Jeon W G, Chuang K H, and Cho Y S. An equalization technique for orthogonal frequency division multiplexing systems in time-variant multipath channels. IEEE Trans. Communications,1999,49(1):1185-1191.
[123]Russel M and Stuber G L. Interchannel interference analysis of OFDM in mobile environment. In Proceedings of IEEE Vehicular Technology Conference 1995, VTC, VOL.2: 820-824.
[124]Gorokhov A and Linnartz J-P. Robust OFDM receiver for dispersive time varying channels:Equalization and channel acquisition. In Proc. of IEEE Int. Conference on communication,2002, Vol.1:470-474.
[125]Cai X and Giannakis G B. Low-complexity ICI suppression for OFDM over time and frequency-selective Rayleigh fading channels. In Proc. of Asilornar Conf. Signals, Systems and Computers,2002, vol.1:22-26.
[126]Annstrong J, Grant P M, and Povey G. Polynornial cancellation coding of OFDM to reduce intercarrier interference due to Doppler spread. In Proc. of IEEE Global Telecommunications Conf.1998, Vol.1:2771-2776.
[127]Starrioulis S, Diggavi N, and Al-Dhahir N. Intercarrier interference in MIMO OFDM. IEEE Trans. Signal Processing,2002,50(10):2451-2464.
[128]Mostofi Y, Cox D C and Bahai. A ICI mitigation for mobile OFDM receivers. In Proc. of IEEE International Conference on Communications (ICC), Ancorage, Alaska, May 2003:3351-3352.
[129]Ki Young Han. Time Domain Equalization Using Linear Phase Interpolation for OFDM in Time Vairant Multipath Channel swith Frequency offset. IEEE VTC 2000:1255-1259.
[130]Choi Y-S, Voltz P J and Cassara F A. On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels. IEEE Trans. Communications,2001,49(8):1375-1387.
[131]X. Huang, J. Lu, J. Z heng and J. Chuang. Reduciton Of peak-to-average power ratio of OFDM signals with companding transmform, Electronics Letters, April.2001: 506-507.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |