期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

机载MIMO雷达两级降维杂波抑制方法 被引量：16

Two-stage Reduced-dimension Clutter Suppression Method for Airborne MIMO Radar
下载PDF
导出
摘要 该文针对机载MIMO雷达杂波抑制问题,提出一种低复杂度的空时自适应处理(STAP)方法。首先利用多普勒滤波对杂波信号进行时域降维处理;然后将空域发射-接收2维波束形成权向量表示成发射权和接收权的Kronecker积,并建立关于这两个权值的二元二次代价函数从而实现空域二次降维;最后提出最小化代价函数的双迭代算法,交替优化两个权值。仿真结果表明该算法收敛速度快,运算量小,尤其在小样本条件下其杂波抑制性能显著优于mDT方法。 A computationally efficient Space-Time Adaptive Processing（STAP） method for clutter suppression in airborne MIMO radar is proposed.Firstly,the Doppler filtering is performed to reduce the data dimension in temporal domain.Secondly,the weight vector of the two-dimensional transmit-receive beamformer is expressed as the Kronecker product of two short weight vectors for which a bi-quadratic cost function is constructed to achieve dimension reduction in spatial domain.Finally,a bi-iterative algorithm for minimizing the bi-quadratic cost function is utilized to optimize iteratively the two weights.Simulation results indicate that the proposed method has fast convergence rate and particularly for short data records,it provides substantially better clutter suppression performance and can be carried out at a smaller computational cost than the mDT method.
作者 吕晖 冯大政 和洁 向聪
机构地区 西安电子科技大学雷达信号处理国家重点实验室
出处 《电子与信息学报》 EI CSCD 北大核心 2011年第4期805-809,共5页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60971111)资助课题
关键词 机载雷达 MIMO雷达 空时自适应处理(STAP) 杂波抑制 降维 Airborne radar MIMO radar Space-Time Adaptive Processing（STAP） Clutter suppression Dimension reduction
分类号 TN959.73 [电子电信—信号与信息处理]
  • 相关文献

参考文献13

  • 1Brennan L E and Reed I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.
  • 2Bliss D W and Forsythe K W. Multiple-input multipleoutput (MIMO) radar and imaging: degrees of freedom and resolution[C]. Proceedings of the 37th IEEE Asilomar Conference on Signals, Systems, Computers, Monterey, USA, 2003: 54-59.
  • 3Chen C Y and 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.
  • 4Mecca V F, Ramakrishnan D, and Krolik J L. MIMO radar space-time adaptive processing for multipath clutter mitigation[C]. Proceedings of the 4th IEEE Workshop on Sensor Array and Multichannel Signal Processing, Waltham, USA, 2006: 249-253.
  • 5Wang G H and Lu Y L. Clutter rank of MIMO radar with a special class of waveforms[C]. Proceedings of the International Waveform Diversity & Design Conference, Kissimmee, USA, 2009: 108-112.
  • 6Marcos S. Range recursive space time adaptive processing (STAP) for MIMO airborne radar[C]. Proceedings of the 17th European Signal Processing Conference, Glasgow, Scotland, 2009: 592-596.
  • 7王鞠庭,江胜利,何劲,刘中.机载MIMO雷达广义最大似然检测器[J].电子与信息学报,2009,31(6):1315-1318. 被引量：3
  • 8陈金立,顾红,苏卫民.一种双基地MIMO雷达快速多目标定位方法[J].电子与信息学报,2009,31(7):1664-1668. 被引量：48
  • 9Btm Zheng, Wu Shun-jun, and Liao Gui-sheng, et al.. Review of reduced rank space-time adaptive processing for airborne radars[C]. Proceedings of the International Conference on Radar, Beijing, China, 1996: 766-769.
  • 10Dippetro R C. Extended factored space-time processing for airborne radar system[C]. Proceedings of the 26th IEEE Asilomar Conference on Signals Systems and Computers, Monterey, USA, 1992: 425-430.

二级参考文献17

  • 1任勋立,廖桂生,曾操.一种低复杂度的二维波达方向估计方法[J].电波科学学报,2005,20(4):526-530. 被引量：12
  • 2Bekkerman I and Tabrikian J. Target detection and localization using MIMO radars and sonars[J]. IEEE Trans. on Signal Processing, 2006, 54(10): 3873-3883.
  • 3Xu L, Li J, and Stoica P. Adaptive techniques for MIMO radar[C]. Proc. 4th IEEE Workshop Sensor Array Multi-Channel Processing, Waltham, MA, Jul, 2006, 2: 576-579.
  • 4Fishier 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.
  • 5Maio A D and Lops M. Design principles of MIMO radar detectors[J]. IEEE Trans. on Aerospace and Electronic Systems, 2007, 43(3): 886-898.
  • 6Lehmann N H, Fishler E, and Haimovich A M, et al.. Evaluation of transmit diversity in MIMO-radar direction finding[J]. IEEE Trans. on Signal Processing, 2007, 55(5): 2215-2225.
  • 7Haimovich A M, Blum R S, and Cimini L J. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116-129.
  • 8Sheikhi A, Zamani A, and Norouzi. Y. Model-based adaptive target detection in clutter using MIMO radar[C]. Proc.CIE, Shanghai, China, 2006, 1: 57-60.
  • 9Goodman N A and Bruyere D. Optimum and decentralized detection for multistatic airborne radar[J]. IEEE Trans. on Aerospace and Electronic Systems, 2007, 43(2): 806-813.
  • 10Reed I S, Mallett J D, and Brennan E. Rapid convergence rate in adaptive arrays[J]. IEEE Trans. on on Aerospace and Electronic Systems, 1974, 10(6): 853-863.

共引文献49

同被引文献264

  • 1保铮,廖桂生,吴仁彪,张玉洪,王永良.相控阵机载雷达杂波抑制的时-空二维自适应滤波[J].电子学报,1993,21(9):1-7. 被引量：92
  • 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
  • 3Brennan L E and Reed I S.Theory of adaptive radar[J].IEEE Transactions on Aerospace and Electronic Systems,1973,9(2):237-252.
  • 4Ward J.Space-time adaptive processing for airborne radar[R].MIT Lincoln Lab.,Lexington,MA,Technical Report 1015,1994.
  • 5Klemm R.Principles of Space-time Adaptive Processing[M].3rd Edition,London:The Institution of Engineering andTechnology,2006:159-376.
  • 6Bliss D W and Forsythe K W.Multiple-input multiple-output(MIMO)radar and imaging:degrees of freedom andresolution[C].Proceedings of the 37th IEEE a SilomarConference on Signals,System,and Computers,Monterey,USA,2003:54-59.
  • 7Chen Chun-yang and Vaidyanathan P P.MIMO radar spacetime adaptive processing using prolate spheroidal wavefunctions[J].IEEE Transactions on Signal Processing,2008,56(2):623-635.
  • 8Wang G and Lu Y.Clutter rank of STAP in MIMO radarwith waveform diversity[J].IEEE Transactions on SignalProcessing,2010,58(2):938-943.
  • 9Wu Y,Tang J,and Peng Y N.Models and performanceevaluation for multiple-input multiple-output space-timeadaptive processing radar[J].IET Radar,Sonar&Navigation,2009,3(6):569-582.
  • 10Bao Zheng,Wu Shun-jun,Liao Gui-sheng,et al..Review ofreduced rank space-time adaptive processing for airborneradars[C].Proceedings of the International Conference onRadar,Beijing,China,1996:766-769.

引证文献16

二级引证文献63

电子与信息学报
2011年 第4期

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