期刊文献+

双基地MIMO雷达参数辨识性分析

Analysis of parameter identifiability about bistastic MIMO radar
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摘要 与传统的相控阵雷达不同,多输入多输出(multiple input multiple output,MIMO)雷达可以发射彼此正交的信号来形成独立信道,通过将各信道内的目标雷达反射截面积(radar cross section,RCS)进行平均可以有效抑制目标衰落,进而提高其参数辨识性能。根据给出的双基地MIMO雷达系统模型,对系统最多可分辨和定位目标的数目进行分析,并给出理论证明。分析表明,利用目标反射系数的非相关特性,双基地MIMO雷达最多可有效分辨和定位收发阵元数的乘积减1个目标。仿真实验证明了结论的正确性。 Unlike conventional radar systems,multiple input multiple output(MIMO) radar can transmit orthogonal signals each other to form decorrelated channels.Its great potential on combating with target fades by averaging the target radar cross sections(RCSs) on each decorrelated channels is shown,and hence the system performance is significantly improved.Based on the bistatic MIMO radar system model,an analysis on the parameter identifiability of MIMO radar is given.By exploiting the uncorrelation of reflection coefficient of the targets,the maximum numbers of targets that could be uniquely identified by the MIMO radar is the product of the numbers of receive and transmit elements minus one.Finally,computer simulation results validate the effectiveness of analysis.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2010年第9期1807-1810,共4页 Systems Engineering and Electronics
基金 国家自然科学基金(60736009) 国家杰出青年基金(60825104)资助课题
关键词 双基地MIMO雷达 多目标分辨 定位 检测 MIMO radar multi-target identification localization detection
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参考文献17

  • 1Li J,Stoica P,Xu L,et al.On parameter identifiability of MIMO radar[J].IEEE Trans.on Signal Processing Letters,2007,14(12):968-971.
  • 2Petillot Y,Du C,Thompson J S.Predicted detection performance of MIMO radar[J].IEEE Signal Processing Letters,2008,15:83-86.
  • 3Stoica P,Li J,Xie Y.On probing signal design for MIMO radar[J].IEEE Trans.on Signal Processing,2007,55(8):4151-4161.
  • 4Xu L,Stoica P,Li J.Parameter estimation and number detection of MIMO radar targets[C] //Proc.of the Forty-First Asilomar Conference on Signals,Systems and Computers,2007:177-181.
  • 5Jin M,Liao G,Li J.Joint DOD and DOA estimation for bistatic MIMO radar[J].IEEE Trans.on Signal Processing,2009,89(2):244-251.
  • 6Wei X,Zishu H.Multiple-target localization and estimation of MIMO radars with unknown transmitted signals[C] //Proc.of IEEE International Symposium on Circuits and Systems,2008:3009-3012.
  • 7谢荣,刘峥,刘韵佛.基于L型阵列MIMO雷达的多目标分辨和定位[J].系统工程与电子技术,2010,32(1):49-52. 被引量:12
  • 8Lehmann N H,Fishler E,Haimovich A M,et al.Evaluation of transmit diversity in MIMO-radar direction finding[J].IEEE Trans.on Signal Processing,2007,55(5):2215-2225.
  • 9Roman J R,Davis D W,Garnham J W,et al.Waveform diversity via mutual information[J].Digital Signal Processing,2009,19(1):45-58.
  • 10Xu L,Li J,Stoica P.Target detection and parameter estimation for MIMO radar systems[J].IEEE Trans.on Aerospace and Electronic Systems,2008,44(3):927-939.

二级参考文献8

  • 1Fishler E, Haimovieh A, Blum R, et al. MIMO radar: an idea whose time has come[C]//Proc, of IEEE Radar Conference, 2004:71 - 78.
  • 2Fishler E, Haimovieh A, Blum R, et al. Spatial diversity in radars models and detection performance[J]. IEEE Trans. on Signal Processing, 2006,54 (3) : 823 - 838.
  • 3Xu Luzhou, Li Jian, Stoica P. Adaptive techniques for MIMO radar[C]//4th IEEE Workshop Sensor Array Multi-Channel Processing, 2006: 258 - 262.
  • 4Li Jian, Stoica P, Xie Yao. On probing signal design for MIMO radar[C]//40th Asilomar Conference on Signals, Systems and Computers, 2006.
  • 5Bekkerman I, Tabrikian J. Target detection and localization using mimo radars and sonars[J].IEEE Trans. on Signal Processing,2006,54(10) :3873 - 3883.
  • 6Cheng Q, Hua Y. Further study of the pencil-MUSIC algorithm[J].IFEE Trans. on Aerospace Electronic Systems, 1996,32 (1) : 284 - 299.
  • 7Capon J. High resolution frequency-wave number spectrum analysis[C]//Proc, of the IEEE, 1969,57 : 1408 - 1418.
  • 8Kay S M. Fundamentals of statistical signal processing: estimation theory[M]. Englewood Cliffs : Prentice Hall, 1998.

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