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频率分集分布式子阵雷达的相参积累检测方法 被引量:3

Coherent Detection for Frequency Diversity Separated Sub-Array Radar
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摘要 为了实现频率分集分布式子阵雷达的相参积累检测,提出一种基于广义似然比检验(GLRT)和条件广义似然比检验(CGLRT)的检测方法.分析了该方法的积累检测性能和解角度模糊性能,并且针对由频率分集引起的多普勒差异问题,提出基于Keystone变换的多普勒补偿方法.理论分析和仿真结果表明,与单频工作的分布式子阵雷达相比,频率分集分布式子阵雷达具有更好的相参积累检测性能,并且能够降低栅瓣的影响,提高解角度模糊能力.通过Keystone变换可在目标径向速度未知的情况下,进行多普勒差异的补偿,实现频率分集分布式子阵雷达的相参积累检测. A new coherent detection method based on generalized likelihood ratio test(GLRT) and constrained GLRT(CGLRT) is proposed, which can be used in coherent detection for frequency diversity separated sub-array radar. The Keystone transform is employed to compensate the Doppler frequency discrepancy introduced by frequency diversity. Theoretical analysis and simulation results show that frequency diversity separated sub-array radar obtains better detection performance and better angle ambiguity resolution performance compared with its counterpart using single frequency, and the Doppler frequency discrepancy can be compensated by the Keystone transform regardless of the unknown target radial velocity.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2010年第1期95-99,共5页 Transactions of Beijing Institute of Technology
基金 国家部委预研项目(020045089)
关键词 频率分集 分布式子阵 相参积累检测 广义似然比检验 KEYSTONE变换 frequency diversity separated sub-array coherent detection generalized likelihood ratio test(GLRT) Keystone transform
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  • 1Nilsson J E, Warston H. Radar with separated subarray antennas[C]// Proceedings of the International Radar Conference. Adelaide, Australia: IEEE, 2003: 194 - 199.
  • 2Athley F. Performance analysis of DOA estimation in the threshold region[C] // Proceedings of ICASSP. Orlando, USA: IEEE, 2002:3017 - 3020.
  • 3Kirk D R, Bergin J S, Techau P M, et al. Multi-static coherent sparse aperture approach to precision target detection and engagement[C]//Proceedings of IEEE International Radar Conference. Arlington, USA: IEEE, 2005:579 - 584.
  • 4Haimovich A M, Blum R S, Cimini L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008,25(1) :116 - 129.
  • 5Sheikhi A, Zamani A. Coherent detection for MIMO radars[C] // Proceedings of Radar Conference. Boston, USA: IEEE, 2007: 302-307.
  • 6Swerling P. Probability of detection for fluctuating targets[J]. IRE Transactions on Information Theory, 1960,6(2) :269 - 308.
  • 7Nayegi M M, Aref M R, Bastani M H. Detection of coherent radar signals with unknown Doppler shift [J]. IEEE Proceedings of Radar, Sonar and Navigation, 1996, 143(2): 79-86.
  • 8Brennan L, Reed I, Sollfrey W. A comparison of average-likelihood and maximum-likelihood ratio tests for detecting radar targets of unknown Doppler frequency [J]. IEEE Transactions on Information Theory, 1968, 14(1) : 104-110.
  • 9张顺生,曾涛.基于keystone变换的微弱目标检测[J].电子学报,2005,33(9):1675-1678. 被引量:118

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  • 1张顺生,曾涛.基于keystone变换的微弱目标检测[J].电子学报,2005,33(9):1675-1678. 被引量:118
  • 2Haimovich A M, Blum R S, Cimini L J. MIMO radar with widely separated antennas [-J ]. IEEE Signal Processing Magazine, 2008,25 (1) .. 116 - 129.
  • 3] Li J, Stoica P. MIMO radar with colocated antennas [-J. IEEE Signal Processing Magazine, 2007,24 (5) : 106 - 114.
  • 4Fishler E, Haimovich A M, Blum R S, et al. MIMO radar: an idea whose time has comeC//Proceedings of the IEEE Radar Conference. Philadelphia: IEEE Press, 2004 .. 71 - 78.
  • 5Fishier E, Haimovich A M, Blum R S, et al. Performance of MIMO radar systems: advantages of angular diversity[-C // Proceedings of the 38th IEEE Asilomar Conference Signals, System, Computer. Pacific Grove, California, USA: IEEE Press, 2004 305 - 309.
  • 6Fishler E, Haimovich A M, Blum R S, et al. Spactial diversity in radars-models and detection performance EJ]. IEEE Transactions on Signal Processing, 2006, 54(3) :823 - 837.
  • 7Chen Duofang, Chen Baixiao, Qin Guodong. Angle estimation using esprit in MIMO radar[J]. Electronic Letters, 2008, 44(12): 770-771.
  • 8Chen C Y, Vaidyanathan P P. MIMO radar space-time adaptive processing using prolate spheroidal wave functions[J]. IEEE Transactions on Signal Processing, 2008, 56(2) :623 - 635.
  • 9Mecca V F, Ramakrishnan D, Krolik L J. MIMO radar space-time adaptive processing for multipath clutter mitigationrC // Proceedings of the IEEE Workshop on Sensor Array and Multichannel Signal Processing. FS. 1. 1: IEEE Press, 2006:249 - 253.
  • 10Bliss D W, Forsythe K W. Multiple-input multiple- output (MIMO) radar and imaging: degrees of freedom and resolution [-C // Proceedings of the 37th Asilomar Conference Signals, System Computer. Pacific Grove, CA.. IEEE Press, 2003:54 - 59.

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