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MIMO阵列雷达检测中的自适应空时编码设计

黄勇 关键 董云龙

黄勇, 关键, 董云龙. MIMO阵列雷达检测中的自适应空时编码设计[J]. 电子与信息学报, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979
引用本文: 黄勇, 关键, 董云龙. MIMO阵列雷达检测中的自适应空时编码设计[J]. 电子与信息学报, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979
Huang Yong, Guan Jian, Dong Yun-Long. Adaptive Space-time Coding Design for MIMO Array Radar Detection[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979
Citation: Huang Yong, Guan Jian, Dong Yun-Long. Adaptive Space-time Coding Design for MIMO Array Radar Detection[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1831-1836. doi: 10.3724/SP.J.1146.2009.00979

MIMO阵列雷达检测中的自适应空时编码设计

doi: 10.3724/SP.J.1146.2009.00979
基金项目: 

国家自然科学基金(60802088,60672140)和教育部新世纪优秀人才支持计划(NCET-05-0912)资助课题

Adaptive Space-time Coding Design for MIMO Array Radar Detection

  • 摘要: 该文从改善MIMO阵列雷达检测性能的角度研究了自适应空时编码的设计问题,考虑了多目标环境、杂波复幅度的空时相关性及其自适应估计等较为复杂的情况,推导了最优准则以及两种次优准则的空时编码设计公式,阐述了3种准则之间以及它们与正交空时编码设计和发射波束方向图匹配设计准则之间的联系与区别。仿真结果表明,相对于非自适应的正交空时编码设计,3种具有自适应能力的设计准则得出的空时编码矢量都能较大程度地提高检测器输出的信号杂波噪声比,达到了改善MIMO阵列雷达检测性能的目的。
  • Friedlander B. Waveform design for MIMO radars[J].IEEETransactions on Aerospace and Electronic Systems.2007,43(3):1227-1238[2]Friedlander B. A subspace framework for adaptive radarwaveform design[C]. Proceedings of the 39th AsilomarConference on Signal, Systems and Computers, Pacific Grove,CA, Oct. 31-Nov.2, 2005: 1135-1139.[3]Li Jian and Stoica P. MIMO Radar Signal Processing[M].New Jersey.[J].Hoboken: John Wiley Sons, Inc.2009,:-[4]Friedlander B. Waveform design for MIMO radar withspace-time constraints[C]. Proceedings of the AsilomarConference on Signal, Systems and Computers, Pacific Grove,CA, Nov. 4-7, 2007: 2168-2172.[5]De Maio A and Lops M. Design principles of MIMO radardetectors[J].IEEE Transactions on Aerospace andElectronic Systems.2007, 43(3):886-898[6]Liu Zheng, Zhao Rui-li, and Liu Yun-fu, et al.. Performanceanalysis on MIMO radar waveform based on mutualinformation and minimum mean-square error estimation[C].Proceedings of the IET, International Radar Conference,Guilin, China, Apr. 20-22, 2009: ID 626.[7]Stoica P, Li Jian, and Xie Yao. On probing signal design forMIMO radar[J].IEEE Transactions on Signal Processing.2007, 55(8):4151-4161[8]Hu L B, Liu H W, and Zhou S H, et al.. Convex optimizationapplied to transmit beampattern synthesis and signalwaveform design for MIMO radar[C]. Proceedings of the IET,International Radar Conference, Guilin, China, Apr.20-22,2009: ID 338.[9]Leshem A, Naparstek O, and Nehorai A. Informationtheoretic adaptive radar waveform design for multipleextended targets[J].IEEE Journal of Selected Topics inSignal Processing.2007, 1(1):42-55[10]Naghibi T and Behnia F. Convex optimization and MIMOradar waveform design in the presence of clutter[C].Proceedings of the 2008 International Conference on Signals,Circuits and Systems, Monastir, Nov.7-9, 2008: 1-6.[11]Yang Yang and Rick S B. MIMO radar waveform designbased on mutual information and minimum mean-squareerror estimation[J].IEEE Transactions on Aerospace andElectronic Systems.2007, 43(1):330-343[12]关键, 黄勇. 高斯色噪声中MIMO分布孔径雷达检测性能分析[J]. 中国科学, 2009, 39(3): 363-369.Guan Jian and Huang Yong. Detection performance analysisfor MIMO radar with distributed apertures in Gaussiancolored noise[J]. Science in China Series F: InformationSciences, 2009, 39(3): 363-369.
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出版历程
  • 收稿日期:  2009-07-07
  • 修回日期:  2010-03-15
  • 刊出日期:  2010-08-19

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