期刊文献+

MIMO阵列雷达检测中的自适应空时编码设计

Adaptive Space-time Coding Design for MIMO Array Radar Detection
下载PDF
导出
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。 Adaptive space-time coding design is investigated for improving the detection performance of MIMO array radar,with multiple targets and space-time correlation property of clutter RCS considered in this paper.Optimal principle and two suboptimal principles are derived for adaptive space-time coding design,and the interrelation among the three principles,orthogonal space-time coding design and beampattern matching design is clarified.The numerical simulations show that all of the adaptive space-time coding vectors designed by the three principles can significantly enhance the signal-to-clutter plus noise-ratio at the output of the detector,and thus improve the detection performance of the MIMO array radar.
出处 《电子与信息学报》 EI CSCD 北大核心 2010年第8期1831-1836,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60802088 60672140) 教育部新世纪优秀人才支持计划(NCET-05-0912)资助课题
关键词 MIMO阵列雷达 目标检测 自适应空时编码设计 MIMO array radar Target detection Adaptive space-time coding design
  • 相关文献

参考文献12

  • 1Friedlander B. Waveform design for MIMO radars[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(3): 1227-1238.
  • 2Friedlander B. A subspace framework for adaptive radar waveform design[C]. Proceedings of the 39th Asilomar Conference on Signal, Systems and Computers, Pacific Grove CA, Oct. 31-Nov.2, 2005: 1135-1139.
  • 3Li Jian and Stoica P. MIMO Radar Signal Processing[M]. New Jersey, Hoboken: John Wiley & Sons, Inc., 2009: 193-234, 411-444.
  • 4Friedlander B. Waveform design for MIMO radar with space-time constraints[C]. Proceedings of the Asilomar Conference on Signal, Systems and Computers, Pacific Grove CA, Nov. 4-7, 2007: 2168-2172.
  • 5De Maio A and Lops M. Design principles of MIMO radar detectors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(3): 886-898.
  • 6Liu Zheng, Zhao Rui-li, and Liu Yun-fu, et al.. Performance analysis on MIMO radar waveform based on mutual information and minimum mean-square error estimation[C]. Proceedings of the IET, International Radar Conference, Guilin, China, Apr. 20-22, 2009: ID 626.
  • 7Stoica P, Li Jian, and Xie Yao. On probing signal design for MIMO radar[J]. IEEE Transactions on Signal Processing, 2007, 55(8): 4151-4161.
  • 8Hu L B, Liu H W, and Zhou S H, et al.. Convex optimization applied to transmit beampattern synthesis and signal waveform design for MIMO radar[C]. Proceedings of the IET, International Radar Conference, Guilin, China, Apr.20-22, 2009: ID 338.
  • 9Leshem A, Naparstek O, and Nehorai A. Information theoretic adaptive radar waveform design for multiple extended targets[J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(1): 42-55.
  • 10Naghibi T and Behnia F. Convex optimization and MIMO radar 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.

二级参考文献8

  • 1Fishler E,Haimovich A M,Blum R S,et al.MIMO radar:an idea whose time has come. Proceedings of 2004 IEEE Radar Conference . 2004
  • 2Fishler E,Haimovich A M,Blum R S,et al.Performance of MIMO radar systems:advantages of angular diversity. Proceedings of the 38th Asilomar Conference on Signals Systems and Computers . 2004
  • 3Xu L Z.Growth curve models in signal processing applications. . 2006
  • 4Xu L Z,Li J.Iterative generalized likelihood ratio test for MIMO radar. IEEE Trans Signal Proces . 2007
  • 5Kay S M.Fundamentals of Statistical Signal Processing VolumeⅠandⅡ:Estimation Theory and Detection Theory. . 2006
  • 6Rabideau D J,Parker P.Ubiquitous MIMO Multifunction Digital Array Radar and the Role of Time-Energy Management in Radar. MIT Lincoln Laboratory Project Report . 2004
  • 7Fishler E,Haimovich A,BlumR,et al.Spatial diversityin radars-models and detection performance. IEEE Transactions on Signal Processing . 2006
  • 8Kraut S,Scharf L L,McWhorter L T.Adaptive Subspace Detectors. IEEE Transactions on Signal Processing . 2001

共引文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部