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两种基于MIMO雷达体制的鲁棒CFAR检测器 被引量：3

Two Kinds of Robust CFAR Detector Based on MIMO Radar System
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摘要 针对MIMO雷达的体制特点,该文提出了两种有序统计与均值相给合的MIMO雷达CFAR检测器(OSCA-CFAR和LCIOSCA-CFAR),给出了虚警概率与检测概率的表达式,然后在各种杂波背景下对检测器性能进行了仿真分析,并与经典的CA-CFAR检测器进行比较,仿真结果表明,OSCA-CFAR和LCIOSCA-CFAR检测器在均匀背景下较CA-CFAR有较小损失,在多目标干扰环境较CA-CFAR性能改善明显,在实际背景中具有更强的鲁棒性。最后比较了OSCA-CFAR和LCIOSCA-CFAR检测器的优缺点。 Based on the system characteristics of MIMO radar, two kinds of MIMO radar CFAR detectors（termed OSCA-CFAR and LCIOSCA-CFAR） based on order statistic and mean level are presented. Firstly, formulas of false alarm probability and detection probability are given. Then detection performance under various clutter background is compared with classic CA-CFAR by simulating and analyzing. The simulation results show that performance of OSCA-CFAR and LCIOSCA-CFAR has a low-loss under uniform clutter and is improved greatly under multi-target interference compared with the CA-CFAR. So it is more robust than the CA-CFAR in practice. Finally, advantage and disadvantage of the two kinds of CFAR detector are indicated.
作者 王敦勇 马晓岩 袁俊泉 王党卫
机构地区 空军雷达学院
出处 《电子与信息学报》 EI CSCD 北大核心 2009年第3期596-600,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60772152)资助课题
关键词 MIMO雷达 OSCA-CFAR LCIOSCA-CFAR 检测性能 MIMO radar OSCA-CFAR LCIOSCA-CFAR Detection performance
分类号 TN957.51 [电子电信—信号与信息处理]
作者简介 王敦勇：男，1980年生，硕士生，从事多通道雷达信号检测与处理的研究． 马晓岩：男，1962年生，教授，博士生导师，主要从事雷达系统、现代信号处理及其应用的研究．
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参考文献7

  • 1Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: An idea whose time has come [C]. Proc. IEEE Radar Conf. Philadelphia, PA, April 2004: 71-78.
  • 2Fishler E, Haimovich A, and Blum R, et al.. Spatial diversity in radars--Models and detection performance [J]. IEEE Trans. on Signal Processing, 2006, 54(3): 823-838.
  • 3Dai Xizeng, Xu Jia, and Peng Yingning, et al. A new method of improving the weak target detection performance based on the MIMO radar [C]. 2006 CIE international conference on radar, Shanghai, 2006: 24-27.
  • 4Sammartino P, Baker C, and Griffiths H. MIMO performance in clutter environment [C]. 2006 CIE international conference on radar, Shanghai, 2006: 32-35.
  • 5Sheikhi A and Zamani A. Model-based adaptive target detection in clutter using MIMO radar [C]. 2006 CIEinternational conference on radar, Shanghai, 2006: 57-60.
  • 6Sammartino P, Baker C, and Griffiths H. Adaptive MIMO radar system in clutter [C]. IEEE Radar conference, Boston, 2007: 276-281.
  • 7Sheikhi A and Zamani A. Coherent detection for MIMO radars [C]. IEEE Radar conference, Boston, 2007: 302-307.

同被引文献26

  • 1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）,2007,47(1):88-91. 被引量：46
  • 2Haimovich A M, B|um R S, and Cimini L J. MIMO radar with widely separated antennas [J]. [EEE Signal Processing Magazine, 2008, 25(1): 116-129.
  • 3Fishler E, Haimovich A, and Blum R S, et al.. Spatial diversity in radars-models and detection performance [J]. IEEE Transactions on Signal Processing, 2006, 54(3): 823-838.
  • 4Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: an idea whose time has come [C]. Proc. IEEE Radar Conf. Philadelphia, PA, April 2004: 71-78.
  • 5Vannicola V. Detection of slow fluctuating targets with frequency diversity channels [J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, AES-10(1): 43-52.
  • 6Swerling P. Probability of detection for fluctuating targets [J]. IEEE Transactions on Information Theory, 1960, 6(2): 269-308.
  • 7Watson G N. A Treatise on the Theory of Bessel Functions [M]. 2nd ed. Cambridge mathematical library. 1995, Cambridge [England] ; New York: Cambridge University Press. vi, 804 p.
  • 8Fishier E, Haimovich A, Blum R, et al. MIMO radar: An idea whose time has come [ C ]. Proceedings of the IEEE Radar Conference. Philadelphia: IEEE Signal Processing Society, 2004: 71-78.
  • 9Fishier E, Haimovich A, Blum R, et al. Spatial diversity in radars : models and detection performance [ J ]. IEEE Trans. On SP. 2006, 54 (3) : 823- 838.
  • 10Haimovich AM, Blum R S, CiminiL J. MIMO radar with widely separated antennas [ J ]. IEEE SP. Magazine, 2008,25 (1) :116-129.

引证文献3

二级引证文献12

电子与信息学报
2009年 第3期

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