MIMO雷达多目标参数估计
|
摘要
多输入多输出(Multiple input Multiple output,MIMO)雷达是国际上近几年发展起来的一种新概念雷达体制。由于空间分集、波形分集等技术的应用,与传统相控阵雷达相比,MIMO雷达具有更优的目标检测性能和参数估计性能。本文主要研究MIMO雷达多目标参数估计问题,完成的工作如下。
基于双基MIMO雷达信号模型,推导了联合导向矢量,采用多重信号分类(Multiple Signal Classification, MUSIC)方法,构建谱估计器,实现了离波方向(Direction of Departure,DOD)和波达方向(Direction of Arrival,DOA)的联合估计。仿真结果表明,该方法获得了较高的参数估计性能。
提出一种基于时空结构的双基MIMO雷达多维参数联合估计方法。同时利用时域相邻两级延迟包含的时间相位差、相邻发射阵元包含的空间相位差以及相邻接收阵元包含的空间相位差,结合旋转不变技术信号参数估计(Estimation of Signal Parameters by Rotational Invariance Techniques, ESPRIT),实现了多普勒(Doppler)频率、DOD和DOA的联合估计。仿真结果表明,该方法角度估计性能比只利用空域信息时有明显改善,而且还可解决角度兼并问题。
提出一种MIMO雷达阵列位置误差的自校正方法。针对MIMO雷达接收阵列位置误差,利用自校正的思想,基于遗传算法,结合MUSIC谱估计器,构建个体适应度函数。仿真结果表明,该方法对MIMO雷达进行DOA估计的同时,仍可以实时在线完成阵列位置误差的估计与校正。
提出一种MIMO雷达DOA-Doppler稳健估计方法。针对发射端和接收端同时存在阵列幅相误差的情况,利用目标的Doppler信息,构造盲自适应波束形成器。仿真结果表明,该方法能有效抑制强干扰,对阵列误差具有较强的稳健性。
Multiple Input Multiple Output (MIMO) radar is a new radar system developed recently. Due to applications of spatial diversity, waveform diversity and other new technologies, MIMO radar can obtain better probability of target detection and parameter estimation performance compared to the traditional phased array radar. This paper mianly aims at multiple-targets parameter estimation in MIMO radar system. The completed major tasks are as follows.
For bistatic MIMO radar, the joint steering vector is derived, and the multiple signal classification (MUSIC) spectral estimator is constructed to implement the joint estimation of the direction of departure (DOD) and direction of arrival (DOA). Simulation results show that the higher paremeters estimation property of targets is achieved.
A method of multi-dimensional parameters joint estimation of bistatic MIMO radars based on time-space structure is put forward. The rotational factors produced by the phrase shifts due to the adjacent delays in time domain and the adjacent transmitting and receiving array elements respectively are utilized, and the multi-dimensional estimation of signal parameters by rotational invariance techniques (ESPRIT) is applied to implement the joint estimation of Doppler, DOD and DOA. Simulation results show that the method outperforms the methods which use the signals’spatial information only, and solve the angle ambiguity problem.
A self-calibration approach for MIMO radar with array location uncertainties is proposed. We utilize self-calibration thought and MUSIC estimator to construct a cost function based on genetic algorithms. Simulation results show that the approach provides estimation of DOAs of all the targets as well as calibration on line of the array position error.
A robust parameter estimation of Doppler and DOA for MIMO radar is proposed. In a MIMO radar system whose transmitting and receiving array manifolds both have amplitude and phase errors, we utilize the Doppler information to construct a blind adaptive beamformer. Simulation results show that the method can suppress the strong jammer and be more robust to array errors.
基于双基MIMO雷达信号模型,推导了联合导向矢量,采用多重信号分类(Multiple Signal Classification, MUSIC)方法,构建谱估计器,实现了离波方向(Direction of Departure,DOD)和波达方向(Direction of Arrival,DOA)的联合估计。仿真结果表明,该方法获得了较高的参数估计性能。
提出一种基于时空结构的双基MIMO雷达多维参数联合估计方法。同时利用时域相邻两级延迟包含的时间相位差、相邻发射阵元包含的空间相位差以及相邻接收阵元包含的空间相位差,结合旋转不变技术信号参数估计(Estimation of Signal Parameters by Rotational Invariance Techniques, ESPRIT),实现了多普勒(Doppler)频率、DOD和DOA的联合估计。仿真结果表明,该方法角度估计性能比只利用空域信息时有明显改善,而且还可解决角度兼并问题。
提出一种MIMO雷达阵列位置误差的自校正方法。针对MIMO雷达接收阵列位置误差,利用自校正的思想,基于遗传算法,结合MUSIC谱估计器,构建个体适应度函数。仿真结果表明,该方法对MIMO雷达进行DOA估计的同时,仍可以实时在线完成阵列位置误差的估计与校正。
提出一种MIMO雷达DOA-Doppler稳健估计方法。针对发射端和接收端同时存在阵列幅相误差的情况,利用目标的Doppler信息,构造盲自适应波束形成器。仿真结果表明,该方法能有效抑制强干扰,对阵列误差具有较强的稳健性。
Multiple Input Multiple Output (MIMO) radar is a new radar system developed recently. Due to applications of spatial diversity, waveform diversity and other new technologies, MIMO radar can obtain better probability of target detection and parameter estimation performance compared to the traditional phased array radar. This paper mianly aims at multiple-targets parameter estimation in MIMO radar system. The completed major tasks are as follows.
For bistatic MIMO radar, the joint steering vector is derived, and the multiple signal classification (MUSIC) spectral estimator is constructed to implement the joint estimation of the direction of departure (DOD) and direction of arrival (DOA). Simulation results show that the higher paremeters estimation property of targets is achieved.
A method of multi-dimensional parameters joint estimation of bistatic MIMO radars based on time-space structure is put forward. The rotational factors produced by the phrase shifts due to the adjacent delays in time domain and the adjacent transmitting and receiving array elements respectively are utilized, and the multi-dimensional estimation of signal parameters by rotational invariance techniques (ESPRIT) is applied to implement the joint estimation of Doppler, DOD and DOA. Simulation results show that the method outperforms the methods which use the signals’spatial information only, and solve the angle ambiguity problem.
A self-calibration approach for MIMO radar with array location uncertainties is proposed. We utilize self-calibration thought and MUSIC estimator to construct a cost function based on genetic algorithms. Simulation results show that the approach provides estimation of DOAs of all the targets as well as calibration on line of the array position error.
A robust parameter estimation of Doppler and DOA for MIMO radar is proposed. In a MIMO radar system whose transmitting and receiving array manifolds both have amplitude and phase errors, we utilize the Doppler information to construct a blind adaptive beamformer. Simulation results show that the method can suppress the strong jammer and be more robust to array errors.
引文
[1] Richard G. Wiley.电子情报(ELINF)——雷达信号截获于分析[M].北京:电子工业出版社,2008.3
[2]赵国庆.雷达对抗原理[M].西安:西安电子科技大学出版社. 2003
[3] Fishler E., Haimovich A., Blum, R., et al. MIMO Radar: An Idea Whose Time Has Come[C] . Proceedings of the IEEE Radar Conference, April 2004, pp:71-78 .
[4]张光义,赵玉洁.相控阵雷达技术[M].电子工业出版社,2006
[5]何子述,韩春林,刘波. MIMO雷达概念及其技术特点分析[J].电子学报, 2005, Vol.33, No.12A
[6] Jian Li, Peter Stoica. MIMO Radar—Diversity Means Superiority[J]. In Proceedings of the 14th Adaptive Sensor Array Processing Workshop (ASAP’06). Lincoln Lab, Mass, USA, December 2006
[7] E. Fishler, A. Haimovich, R. Blum, et al. Spatial Diversity in Radars-Models and Detection Performance[J] .IEEE Trans.on Signal Processing, 2006, 54 (3) :823-838 .
[8] X. Luzhou, L. jian, P. Stoica, W. Roberts. On Parameter Identifibility of MIMO Radar[J]. IEEE Signal Processing Letters, Vol. 14, NO.12, December 2007
[9]杨明磊,张守宏,陈伯孝等.多载频MIMO雷达的一种新的信号处理方法[J].电子与信息学报, 2009.1, Vol31, No.1
[10]张明友.数字阵列雷达和软件化雷达[M].电子工业出版社, 2008.2, pp:383-427
[11] A. Haimovich, R. Blum, L. Cimini. MIMO Radar with Widely Separated Antennas[J]. IEEE Signal Proc. Magazine, January 2008, 116-129
[12] E. Fishler, A. Haimovich, R. Blum, et al. Performance of MIMO Radar Systems: Advantages of Angular Diversity[C]. In Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, Nov. 2004, 305—309.
[13] Chun-Yang Chen, P. P. Vaidyanathan. MIMO Radar Space-Time Adaptive Processing Using Prolate Spheroidal Wave Functions[J]. IEEE Transactions on Signal Processing, Vol.56, No. 2, February 2008
[14] L. Xu, J. Li, and P. Stoica. Adaptive Techniques for MIMO Radar[J]. The 4th IEEE Workshop Sensor Array Multi-Channel Processing, Waltham, MA, July 2006
[15] N. H. Lehmann, E. Fishler, A. Haimovich. Evaluation of Transmit Diversity in MIMO Radar Direction Finding. Signal Processing. IEEE Transaction on 2007,55(5):2215-2225
[16] Bekkerman I, Tabrikian J. Target Detection and Location on Using MIMO Radars and Sonars[J]. IEEE Transations on Signal Processing, 2006, Vol. 54, No.10: 3873-3883
[17] Luzhou Xu, Jian Li. Iterative Generalized-likelihood Ratio Test for MIMO Radar[J]. IEEE Transations on Signal Processing, June 2007, Vol.55, No.6: 2375-2385
[18] Bekkerman I, Tabrikian J. Spatially Coded Signal Model for Active Arrays[A]. IEEE International Conferece on Acoustics, Speech, and Signal Processing (ICASSP’04), Proceedings (ii)[C]. Montreal, Quebec, Canada: IEEE Press, 2004, 209-212
[19]夏威. MIMO雷达模型与信号处理研究.博士学位论文.成都,成都电子科技大学, 2008.12
[20] Li J, Stoica P, Xie Y. On Probing Signal Design for MIMO Radar[C]. Proceedings of Signals, Systems and Computers, ACSSC’06, 40th Asilomar Conferece on, Pacific Grove, CA, 2006.13-35
[21] Stoica P, Li J, Xie Y. On Probing Signal Design for MIMO Radar[J]. IEEE Transactions on Signal Proceesing, 2007, 55(8): 4153-4161
[22] K. W. Forsythe, D. W. Bliss. Waveform Correlation and Optimization Issues for MIMO radar[C]. Conference Record ofthe 39th Asilomar Conference on Signals, Systems & Computers, Pacific Grove, Calif, pp.1306-1310, Oct. 2005.
[23] Xu L, Li J, Stoica P, et al. Waveform Optimization for MIMO Radar: a Cramér-Rao Bound Based Study[C]. Proceedings of Proc. IEEE International Conferece on Acoustics, Speech, and Signal Proceedings(ICASSP’07)
[24] Li J, Xu L, Stoica P, et al. Range Compression and Waveform Optimization for MIMO Radar: a Cramér-Rao Bound Based Study[J]. IEEE Transations on Signal Processing, Vol.56, No.1, January 2008
[25]王敦勇,袁俊泉,马晓岩.基于遗传算法的MIMO雷达离散频率编码波形设计[J].空军雷达学院学报,第21卷第2期, 2007年6月:105-107
[26] Liu Bo, He Zishu, Zeng Jiankui, et al. Polyphase Orthogonal Code Design for MIMO Radar Systems[A]. International Conferece of Radar (CIE’06) (1)[C]. Shanghai, China: IEEE Press, 2006.113-116
[27]杨明磊,陈伯孝,齐飞林等.多载频MIMO雷达的模糊函数[J].系统工程与电子技术, 2009年1月, Vol.31, No.1
[28] Yang, Yang; Blum, Rick S. MIMO Radar Waveform Design[J]. Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on 26-29 Aug. 2007 Page(s):468 - 472
[29] Sannartino P F, Barker C J, Griffiths H D. Target Model Effects on MIMO Radar Performance[C]. Conference Record of ICASSP 2006, Toulouse, France. 2006:14-19
[30] Petillot Y, Chaoran Du, Thompson, J S. Predicted Detection Performance of MIMO Radar[J]. Signal Processing Letters, IEEE. 2008, Volume 15:83 - 86
[31]戴喜增,彭应宁,汤俊. MIMO雷达检测性能[J].清华大学学报(自然科学版),2007, Vo l. 47, No.1,88-91
[32] K. W. Forsythe, D. W. Bliss, and G. S. Fawcett, Multiple-input Multiple-output (MIMO) Radar: Performance Issues[C], in Conference Record of the 38th Asilomar Conference on Signals, Systems & Computers, IEEE Pacific Grove, Calif, pp. 310-315, 2004.
[33] Mecca V F, Ramakrishnan D, Krolik J L. MIMO Radar Space-Time Adaptive Processing for Multipath Clutter Mitigation[J]. Proceeings of Sensor Array and Multichannel Signal Processing. IEEE Workshop (SAM 2006), Waltham, MA, 2006, 249-253
[34] Mecca V F, Krolik J L. Slow-Time MIMO STAP with Improved Power Efficiency[C]. Proceedings of Signals, System and Computers, 41th Asilomar Conference on (ACSSC’07), Pacific Grove, CA, 2007, 202-206
[35] Chen C Y, Vaidyanathan P P. Beamforming Issues in Modern MIMO Radars with Doppler[C]. Proceedings of Signals, Systems and Computers, ACSSC’06, 40th Asilomar Conference on, Pacific Grove, CA, 2006, 41-45
[36] Chen C Y, Vaidyanathan P P. A Subspace Method for MIMO Radar Space-Time adaptive Processing[C]. Proceedings of Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP’07), Honolulu, Hawaii, 2007, 925-928
[37] D. W. Bliss and K. W. Forsythe. Multiple-input Multiple-output (MIMO) Radar and Imaging: Degrees of Freedom and Resolution[C], in Conference Record of the 37th Asilomar Conference on Signals, Systems & Computers, IEEE, pp. 54-59, 2003.
[38] J Li, P Stoica, X Zheng. Signal Synthesis and Receiver Design for MIMO Radar Imaging[J]. IEEE Transactions on Signal Processing, Vol.56, No.8, August 2008
[39] J Li, X Zheng, P Stoica. MIMO SAR Imaging: Signal Synthesis and Receiver Design[C]. Computational Advances in Multi-Senor Adaptive Processing(CAMPSAP’07), IEEE International Workshop, Dec 2007
[40] M Xue, X zhu, J Li, et al. MIMO Radar Angle-Doppler Imaging via Iterative Space-Time Adaptive Processing[C]. International WD&D Conference, 2009
[41] Wei Xia, Zishu He. On the Maximum Likelihood Method for Target Location Using MIMO Radars[C]. International Conference on Communications, Circuits and Systems(ICCCAS 2008),May 2008, Xiamen , China, 1005-1009
[42] X. Luzhou, L. Jian, P. Stoica. Target Detection and Parameter Estimation for MIMO Radar. IEEE Transactions on Aerospace and Electronic Systems Vol. 44, No.3 July 2008
[43] X. Luzhou, P. Stoica, L. Jian. Parameter Estimation and Number Detection of MIMO Radar Targets[C]. Proceedings of Signals, Systems and Computer, 41th Asilomar Conference on (ACSSC’07 ), Pacific Grove, CA, 2007, 177-181
[44] Haidong Yan, Jun Li, and Guisheng Liao. Multitarget Identification and Localization Using Bistatic MIMO Radar Systems. Eurasip Journal on Advances in Signal Processing, Volume 2008, Article ID 283483, 8 pages
[45] C. Duofang, C. Baixiao and Q. Guodong. Angle Estimation Using ESPRIT in MIMO Radar. Electronics Letters 5th June 2008, Vol. 44, No. 12
[46]杨明磊,陈伯孝,秦国栋等.多载频MIMO雷达的空时超分辨算法[J].电子与信息学报, 2009, Vol.31, No.9
[47]秦国栋,陈伯孝,陈多芳等.双基地多载频MIMO雷达目标运动参数估计[J].系统工程与电子技术, 2009, 4, Vol31, No.4
[48]曲毅,廖桂生,朱圣棋等. MIMO雷达的目标运动方法及速度估计[J].西安电子科技大学学报, 2008, Vol.35, No.5
[49] Ming Jin, Guisheng Liao, Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar[J]. Signal Processing 89(2009) 244-251
[50]夏威,何子述. APES算法在MIMO雷达参数估计中的稳健性研究[J].电子学报, 2008, Vol.36, No.9
[51] Li J, Stoica P, Wang Z. On Robust Capon Beamforming and Diagonal Loading[J]. IEEE Transactions on Signal Processing, 2003, 51(7);1702-1715
[52]王永良,陈辉,彭应宇等.空间谱估计理论与算法[M].北京:清华大学出版社, 2004.11
[53] P. Stoica, H. Li, and J. Li. A New Derivation of the APES Filter. IEEE Signal Processing Letters, 6(Aug.1999), 205-206
[54] A. Jackson, P. Stoica. Combining Capon and APES for Estimation of Spectral Lines[J]. Circuits, System, and Signal Processing, 19, 2(2000),159-169
[55]张明友,汪学刚.雷达系统(第二版)[M].北京:电子工业出版社, 2006.1, 375-391
[56] Peter Stoica, Randolph Moses.吴仁彪,韩萍,冯青等译.现代信号谱分析[M].北京:电子工业出版社. 2007.11, 129-134
[57] J Li, J Conan and S Pierre. Joint Estimation of Channel Parameters for MIMO CommunicationSystems[C].the 2th International Symposium on Wireless Communication Systems, September 2005, pp.22-26.
[58] Li J, Compton R T. Two-Dimensional Angle and Polarization Estimation Using the ESPRIT Algorithm[J]. IEEE Trans. On AP. 1992, 40(4):550-555.
[59]刁鸣,缪善林.一种二维ESPRIT算法参数配对新方法[J].系统工程与电子技术, 2007.8, Vol.29, No.8.
[60] J S Hong. Genetic Approach to Bearing Estimation with Sensor Location Uncertainties[J]. Electronics Letters 11th November 1993, Vol.29, No.23
[61]廖桂生,保铮.一种新的旋转不变方法实现起伏目标的高分辨方向—多普勒频率盲估计[J].电子学报, 1996.12, Vol.24, No.12
[62]张林让,廖桂生,保铮.基于多普勒信号的盲自适应波束形成技术[J].电子学报, 1999.6, Vol.27, No.6
[2]赵国庆.雷达对抗原理[M].西安:西安电子科技大学出版社. 2003
[3] Fishler E., Haimovich A., Blum, R., et al. MIMO Radar: An Idea Whose Time Has Come[C] . Proceedings of the IEEE Radar Conference, April 2004, pp:71-78 .
[4]张光义,赵玉洁.相控阵雷达技术[M].电子工业出版社,2006
[5]何子述,韩春林,刘波. MIMO雷达概念及其技术特点分析[J].电子学报, 2005, Vol.33, No.12A
[6] Jian Li, Peter Stoica. MIMO Radar—Diversity Means Superiority[J]. In Proceedings of the 14th Adaptive Sensor Array Processing Workshop (ASAP’06). Lincoln Lab, Mass, USA, December 2006
[7] E. Fishler, A. Haimovich, R. Blum, et al. Spatial Diversity in Radars-Models and Detection Performance[J] .IEEE Trans.on Signal Processing, 2006, 54 (3) :823-838 .
[8] X. Luzhou, L. jian, P. Stoica, W. Roberts. On Parameter Identifibility of MIMO Radar[J]. IEEE Signal Processing Letters, Vol. 14, NO.12, December 2007
[9]杨明磊,张守宏,陈伯孝等.多载频MIMO雷达的一种新的信号处理方法[J].电子与信息学报, 2009.1, Vol31, No.1
[10]张明友.数字阵列雷达和软件化雷达[M].电子工业出版社, 2008.2, pp:383-427
[11] A. Haimovich, R. Blum, L. Cimini. MIMO Radar with Widely Separated Antennas[J]. IEEE Signal Proc. Magazine, January 2008, 116-129
[12] E. Fishler, A. Haimovich, R. Blum, et al. Performance of MIMO Radar Systems: Advantages of Angular Diversity[C]. In Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, Nov. 2004, 305—309.
[13] Chun-Yang Chen, P. P. Vaidyanathan. MIMO Radar Space-Time Adaptive Processing Using Prolate Spheroidal Wave Functions[J]. IEEE Transactions on Signal Processing, Vol.56, No. 2, February 2008
[14] L. Xu, J. Li, and P. Stoica. Adaptive Techniques for MIMO Radar[J]. The 4th IEEE Workshop Sensor Array Multi-Channel Processing, Waltham, MA, July 2006
[15] N. H. Lehmann, E. Fishler, A. Haimovich. Evaluation of Transmit Diversity in MIMO Radar Direction Finding. Signal Processing. IEEE Transaction on 2007,55(5):2215-2225
[16] Bekkerman I, Tabrikian J. Target Detection and Location on Using MIMO Radars and Sonars[J]. IEEE Transations on Signal Processing, 2006, Vol. 54, No.10: 3873-3883
[17] Luzhou Xu, Jian Li. Iterative Generalized-likelihood Ratio Test for MIMO Radar[J]. IEEE Transations on Signal Processing, June 2007, Vol.55, No.6: 2375-2385
[18] Bekkerman I, Tabrikian J. Spatially Coded Signal Model for Active Arrays[A]. IEEE International Conferece on Acoustics, Speech, and Signal Processing (ICASSP’04), Proceedings (ii)[C]. Montreal, Quebec, Canada: IEEE Press, 2004, 209-212
[19]夏威. MIMO雷达模型与信号处理研究.博士学位论文.成都,成都电子科技大学, 2008.12
[20] Li J, Stoica P, Xie Y. On Probing Signal Design for MIMO Radar[C]. Proceedings of Signals, Systems and Computers, ACSSC’06, 40th Asilomar Conferece on, Pacific Grove, CA, 2006.13-35
[21] Stoica P, Li J, Xie Y. On Probing Signal Design for MIMO Radar[J]. IEEE Transactions on Signal Proceesing, 2007, 55(8): 4153-4161
[22] K. W. Forsythe, D. W. Bliss. Waveform Correlation and Optimization Issues for MIMO radar[C]. Conference Record ofthe 39th Asilomar Conference on Signals, Systems & Computers, Pacific Grove, Calif, pp.1306-1310, Oct. 2005.
[23] Xu L, Li J, Stoica P, et al. Waveform Optimization for MIMO Radar: a Cramér-Rao Bound Based Study[C]. Proceedings of Proc. IEEE International Conferece on Acoustics, Speech, and Signal Proceedings(ICASSP’07)
[24] Li J, Xu L, Stoica P, et al. Range Compression and Waveform Optimization for MIMO Radar: a Cramér-Rao Bound Based Study[J]. IEEE Transations on Signal Processing, Vol.56, No.1, January 2008
[25]王敦勇,袁俊泉,马晓岩.基于遗传算法的MIMO雷达离散频率编码波形设计[J].空军雷达学院学报,第21卷第2期, 2007年6月:105-107
[26] Liu Bo, He Zishu, Zeng Jiankui, et al. Polyphase Orthogonal Code Design for MIMO Radar Systems[A]. International Conferece of Radar (CIE’06) (1)[C]. Shanghai, China: IEEE Press, 2006.113-116
[27]杨明磊,陈伯孝,齐飞林等.多载频MIMO雷达的模糊函数[J].系统工程与电子技术, 2009年1月, Vol.31, No.1
[28] Yang, Yang; Blum, Rick S. MIMO Radar Waveform Design[J]. Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on 26-29 Aug. 2007 Page(s):468 - 472
[29] Sannartino P F, Barker C J, Griffiths H D. Target Model Effects on MIMO Radar Performance[C]. Conference Record of ICASSP 2006, Toulouse, France. 2006:14-19
[30] Petillot Y, Chaoran Du, Thompson, J S. Predicted Detection Performance of MIMO Radar[J]. Signal Processing Letters, IEEE. 2008, Volume 15:83 - 86
[31]戴喜增,彭应宁,汤俊. MIMO雷达检测性能[J].清华大学学报(自然科学版),2007, Vo l. 47, No.1,88-91
[32] K. W. Forsythe, D. W. Bliss, and G. S. Fawcett, Multiple-input Multiple-output (MIMO) Radar: Performance Issues[C], in Conference Record of the 38th Asilomar Conference on Signals, Systems & Computers, IEEE Pacific Grove, Calif, pp. 310-315, 2004.
[33] Mecca V F, Ramakrishnan D, Krolik J L. MIMO Radar Space-Time Adaptive Processing for Multipath Clutter Mitigation[J]. Proceeings of Sensor Array and Multichannel Signal Processing. IEEE Workshop (SAM 2006), Waltham, MA, 2006, 249-253
[34] Mecca V F, Krolik J L. Slow-Time MIMO STAP with Improved Power Efficiency[C]. Proceedings of Signals, System and Computers, 41th Asilomar Conference on (ACSSC’07), Pacific Grove, CA, 2007, 202-206
[35] Chen C Y, Vaidyanathan P P. Beamforming Issues in Modern MIMO Radars with Doppler[C]. Proceedings of Signals, Systems and Computers, ACSSC’06, 40th Asilomar Conference on, Pacific Grove, CA, 2006, 41-45
[36] Chen C Y, Vaidyanathan P P. A Subspace Method for MIMO Radar Space-Time adaptive Processing[C]. Proceedings of Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP’07), Honolulu, Hawaii, 2007, 925-928
[37] D. W. Bliss and K. W. Forsythe. Multiple-input Multiple-output (MIMO) Radar and Imaging: Degrees of Freedom and Resolution[C], in Conference Record of the 37th Asilomar Conference on Signals, Systems & Computers, IEEE, pp. 54-59, 2003.
[38] J Li, P Stoica, X Zheng. Signal Synthesis and Receiver Design for MIMO Radar Imaging[J]. IEEE Transactions on Signal Processing, Vol.56, No.8, August 2008
[39] J Li, X Zheng, P Stoica. MIMO SAR Imaging: Signal Synthesis and Receiver Design[C]. Computational Advances in Multi-Senor Adaptive Processing(CAMPSAP’07), IEEE International Workshop, Dec 2007
[40] M Xue, X zhu, J Li, et al. MIMO Radar Angle-Doppler Imaging via Iterative Space-Time Adaptive Processing[C]. International WD&D Conference, 2009
[41] Wei Xia, Zishu He. On the Maximum Likelihood Method for Target Location Using MIMO Radars[C]. International Conference on Communications, Circuits and Systems(ICCCAS 2008),May 2008, Xiamen , China, 1005-1009
[42] X. Luzhou, L. Jian, P. Stoica. Target Detection and Parameter Estimation for MIMO Radar. IEEE Transactions on Aerospace and Electronic Systems Vol. 44, No.3 July 2008
[43] X. Luzhou, P. Stoica, L. Jian. Parameter Estimation and Number Detection of MIMO Radar Targets[C]. Proceedings of Signals, Systems and Computer, 41th Asilomar Conference on (ACSSC’07 ), Pacific Grove, CA, 2007, 177-181
[44] Haidong Yan, Jun Li, and Guisheng Liao. Multitarget Identification and Localization Using Bistatic MIMO Radar Systems. Eurasip Journal on Advances in Signal Processing, Volume 2008, Article ID 283483, 8 pages
[45] C. Duofang, C. Baixiao and Q. Guodong. Angle Estimation Using ESPRIT in MIMO Radar. Electronics Letters 5th June 2008, Vol. 44, No. 12
[46]杨明磊,陈伯孝,秦国栋等.多载频MIMO雷达的空时超分辨算法[J].电子与信息学报, 2009, Vol.31, No.9
[47]秦国栋,陈伯孝,陈多芳等.双基地多载频MIMO雷达目标运动参数估计[J].系统工程与电子技术, 2009, 4, Vol31, No.4
[48]曲毅,廖桂生,朱圣棋等. MIMO雷达的目标运动方法及速度估计[J].西安电子科技大学学报, 2008, Vol.35, No.5
[49] Ming Jin, Guisheng Liao, Jun Li. Joint DOD and DOA Estimation for Bistatic MIMO Radar[J]. Signal Processing 89(2009) 244-251
[50]夏威,何子述. APES算法在MIMO雷达参数估计中的稳健性研究[J].电子学报, 2008, Vol.36, No.9
[51] Li J, Stoica P, Wang Z. On Robust Capon Beamforming and Diagonal Loading[J]. IEEE Transactions on Signal Processing, 2003, 51(7);1702-1715
[52]王永良,陈辉,彭应宇等.空间谱估计理论与算法[M].北京:清华大学出版社, 2004.11
[53] P. Stoica, H. Li, and J. Li. A New Derivation of the APES Filter. IEEE Signal Processing Letters, 6(Aug.1999), 205-206
[54] A. Jackson, P. Stoica. Combining Capon and APES for Estimation of Spectral Lines[J]. Circuits, System, and Signal Processing, 19, 2(2000),159-169
[55]张明友,汪学刚.雷达系统(第二版)[M].北京:电子工业出版社, 2006.1, 375-391
[56] Peter Stoica, Randolph Moses.吴仁彪,韩萍,冯青等译.现代信号谱分析[M].北京:电子工业出版社. 2007.11, 129-134
[57] J Li, J Conan and S Pierre. Joint Estimation of Channel Parameters for MIMO CommunicationSystems[C].the 2th International Symposium on Wireless Communication Systems, September 2005, pp.22-26.
[58] Li J, Compton R T. Two-Dimensional Angle and Polarization Estimation Using the ESPRIT Algorithm[J]. IEEE Trans. On AP. 1992, 40(4):550-555.
[59]刁鸣,缪善林.一种二维ESPRIT算法参数配对新方法[J].系统工程与电子技术, 2007.8, Vol.29, No.8.
[60] J S Hong. Genetic Approach to Bearing Estimation with Sensor Location Uncertainties[J]. Electronics Letters 11th November 1993, Vol.29, No.23
[61]廖桂生,保铮.一种新的旋转不变方法实现起伏目标的高分辨方向—多普勒频率盲估计[J].电子学报, 1996.12, Vol.24, No.12
[62]张林让,廖桂生,保铮.基于多普勒信号的盲自适应波束形成技术[J].电子学报, 1999.6, Vol.27, No.6
© 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 |