期刊文献+

临近空间MIMO STAP阵列优化和正交编码分集研究 被引量:1

Array Optimization and Orthogonal Codes Diversity For Near Space MIMO STAP
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摘要 临近空间MIMO雷达可实现高分辨率、大测绘带成像和高性能动目标显示功能。针对MIMO雷达动目标显示中均匀阵列性能较差、稀疏阵列会导致栅瓣进而出现盲速和一定尺寸平台上天线长度受限的问题,提出了以降低最小可检测速度为准则的MIMO天线阵列优化设计方法,通过对长度限制条件下的发射、接收天线阵列的联合优化,结合具有良好自相关和互相关性能的二相编码正交信号,实现了尺寸受限平台上MIMO雷达STAP功能。仿真比较分析了不同天线阵列结构下的STAP性能,验证了本文方法的有效性。 Near-space radar can implement high-resolution, large-swath imaging and Moving Target Indication (MTI) tasks. For the MTI function of MIMO( Multiple Input Multiple Output) Radar, uniform array can bring poor performance, sparse array will bring grating lobes which will lead to blind speeds, size-fixed platform limits the maximum length of the ar- ray, this paper proposes one array optimization method whose target is to lower the Minimum Detectable Velocity(MDV). Combining the joint optimized array structure together with binary phase orthogonal codes which are designed to get high au- tocorrelation and cross-correlation performance, high STAP ( Space-Time Adaptive Processing) performance is gotten with limited aperture length. Simulation compared different STAP performance of various array structure, thus testified the effec- tiveness of the method.
出处 《信号处理》 CSCD 北大核心 2013年第4期443-448,共6页 Journal of Signal Processing
基金 陕西省自然科学基金(2011JQ8040):临近空间MIMO雷达地面动目标显示关键技术研究 航空科学基金与航空电子系统射频综合仿真航空科技重点实验室联合资助(20122096011)
关键词 临近空间 MIMO雷达 阵列优化 正交编码分集 Near Space MIMO Radar Array Optimization Orthogonal Codes Diversity
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参考文献10

  • 1Edward B. Tomme, D. Phil. The Paradigm Shift to Effects- Based Space:Near-Space as a Combat Space Effects Ena- bler [ D ]. College of Aerospace Doctrine, Research and Education, Air University. 2005,1 : 5-10.
  • 2Jian Li, Petre Stoica. MIMO Radar Signal Processing [ M]. Wiley, New Jersey, 2009.
  • 3D. W. Bliss, K. W. Forsythe, S. K. Davis. GMTI MIMO Radar[ C]. 2009 International WD&D Conference, Feb, 2009, 118-122.
  • 4顾福飞,池龙,张群,彭发祥,朱丰.基于压缩感知的稀疏阵列MIMO雷达成像方法[J].电子与信息学报,2011,33(10):2452-2457. 被引量:20
  • 5李彩彩,廖桂生,朱圣棋,吴孙勇.一种抑制严重非均匀杂波的机载MIMO-STAP方法[J].电子学报,2011,39(3):511-517. 被引量:12
  • 6戴喜增,许稼,彭应宁,王永良.MIMO-VSAR及其一种优化的阵列配置[J].电子学报,2008,36(12):2394-2399. 被引量:12
  • 7Leatherwood D A, Melvin W L, Berger S. Adaptive Signal Processing for a Spaceborne Distributed Aperture [ C ]. AIAA Space 2001 Conference&Exposition, Aug, 2001.
  • 8Guisheng Liao, Ming Jin, Jun Li. A Two-Step Approach to Construct Minimum Redundancy MIMO Radars [ C ]. IEEE Radar conference,-Surveillance for a safer world,Bordeaux, Oct. 12-16, 2009 : 1-4.
  • 9Yu Zhang, Jianxin Wang. OFDM-Coded Signals Design for MIMO Radar[ C ]. ICSP2008, Germany, Leipzig, 2008: 2442 -2445.
  • 10朱国富,周智敏.MTI雷达的最小可检测速度[J].雷达科学与技术,2007,5(4):283-286. 被引量:8

二级参考文献41

  • 1王万林,廖桂生,张光斌.一种新的相控阵机载预警雷达孤立干扰抑制方法[J].电子与信息学报,2005,27(2):278-282. 被引量:2
  • 2保铮,张玉洪,廖桂生,王永良,吴仁彪.机载雷达空时二维信号处理[J].现代雷达,1994,16(1):38-48. 被引量:65
  • 3Wang G,Xia X-G, Chen V C,and Fiedler R L. Detection, loaction, and imaging of fast moving targets using multifrequency antenna array SAR [ J ]. IEEE Transactions on Aerospace and Electronic Systems,2004,40(1) :345 - 354.
  • 4Li G, Xu J, Peng Y-N, Xia X-G. Moving target location and imaging using dual-speed velocity SAR[J]. IET Radar Sonar Navig,2007,1(2) : 158 - 163.
  • 5Xu J, Li G, Peng Y-N, Xia X-G, Wang Y-L. Parametric velocity synthetic aperture radar (I)- signal modeling and optimal methods[ J]. IEEE Trans on Geoscience and Remote Sensing, 2008,46(8 ). To be published.
  • 6Zuo Y, Li G, Xu J, Peng Y-N. Detection and location of fast moving targets using minimum redundancy linear array SAR [A ]. IEEE Proceedings of International Conference on Radar [ C]. Shanghai, China: IEEE, 2006.588 - 591.
  • 7Li G, Xu J, Peng Y-N, Xia X-G. Bistatic linear antenna array SAR for moving target detection, location and imaging with two passive airborne radars[J]. IEEE Trans on Geoscience and Re- mote Sensing, 2007,45 (3) : 554 - 565.
  • 8Rabideau D J and Parker P. Ubiquitous MIMO multifunction digital array radar[A]. Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers[ C]. Pacific Grove, CA USA: IEEE,,2003. 1057- 1064.
  • 9Fishler E, Blum R. MIMO radar: an idea whose time has come [A], IEEE Proceedings of Radar Conference [ C ]. Newark, USA: IEEE, 2004.71 - 78,
  • 10Bekkerman I, Tabrikian J. Target detection and localization using MIMO radars and sonars[J]. IEEE Transactions on Signal Processing, 2006,54(10) : 3873 - 3883.

共引文献44

同被引文献12

  • 1Li J, Stoica P. MIMO Radar Signal Processing[ M] . NewYork : John Wiley 8i Sons, 2009.
  • 2Haimovich A H,Blum R S,Cimini L J. MIMO radarwith widely separated antennas[ J]. IEEE Signal Process-ing Magazine, 2008,25(1):116-129.
  • 3Li J, Stoica P. MIMO radar with colocated antennas: Re-view of some recent work [ J ]. IEEE Signal ProcessingMagazine, 2007 ,24(5 ) : 106-114.
  • 4Guerci J R. Cognitive radar: A knowledge-aided fullyadaptive approach[C] //IEEE Radar Conference, 2010:1365-1370.
  • 5Stoica P,Li J,Xie Y. On probing signal design for MIMOradar [ J ]. IEEE Transactions on Signal Processing,2007, 55(8) : 4151-4161.
  • 6Yang Y, Blum R S. MIMO radar waveform design basedon mutual information and minimum mean-square errorestimation [ J ]. IEEE Transactions on Aerospace and E-lectronic System, 2007 , 43(1) : 330-343.
  • 7Sammartino P F,Baker C J,Griffiths H D. FrequencyDiverse MIMO Techniques for Radar[ J ]. IEEE Transac-tions on Aerospace and Electronic Systems,2013 ,49( 1 ):201-222.
  • 8Friedlander, Benjamin. Waveform Design for MIMO Ra-dars [J ] . IEEE Transactions on Aerospace and ElectronicSystems, 2007,43(3) :1227-1238.
  • 9Song X F,Willett P, Zhou S L,et al. The MIMO Hadarand Jammer Games [ J ]. IEEE Transactions on SignalProcessing, 2012, 60(2) : 687-699.
  • 10Vannicola V. Detection of Slow Fluctuating Targets withFrequency Diversity Channels [ J ]. IEEE Transactions onAerospace and Electronic Systems, 1974, AES-10( 1).43-52.

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