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Volume 33 Issue 4
May  2011
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Lv Hui , Feng Da-Zheng, He Jie, Xiang Cong. Two-stage Reduced-dimension Clutter Suppression Method for Airborne MIMO Radar[J]. Journal of Electronics & Information Technology, 2011, 33(4): 805-809. doi: 10.3724/SP.J.1146.2010.00704
Citation: Lv Hui , Feng Da-Zheng, He Jie, Xiang Cong. Two-stage Reduced-dimension Clutter Suppression Method for Airborne MIMO Radar[J]. Journal of Electronics & Information Technology, 2011, 33(4): 805-809. doi: 10.3724/SP.J.1146.2010.00704

Two-stage Reduced-dimension Clutter Suppression Method for Airborne MIMO Radar

doi: 10.3724/SP.J.1146.2010.00704
  • Received Date: 2010-07-06
  • Rev Recd Date: 2010-09-17
  • Publish Date: 2011-04-19
  • 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.
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  • Brennan L E and Reed I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237-252.[2] Bliss D W and Forsythe K W. Multiple-input multiple- output (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.[3] Chen 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.[4] Mecca 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.[5] Wang 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.[6] Marcos 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, 等. 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.Wang Ju-ting, Jiang Sheng-li, and He Jin, et al.. Generalized likelihood ratio detector for airborne MIMO radars[J]. Journal of Electronics Information Technology, 2009, 31(6): 1315-1318.[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.Chen Jin-li , Gu Hong, and Su Wei-min. A method for fast multi-target localization in bistatic MIMO radar system[J]. Journal of Electronics Information Technology, 2009, 31(7): 1664-1668.[9] Bao 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.[10] Dippetro R C. Extended factored space-time processing forairborne radar system[C]. Proceedings of the 26th IEEE Asilomar Conference on Signals, Systems and Computers, Monterey, USA, 1992: 425-430.[11] 王永良, 彭应宁. 空时自适应信号处理 [M]. 北京: 清华大学出版社, 2000: 58-62.[12] Reed I S, Mallett J D, and Brennan L E. Rapid convergence rate in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, 10(6): 853-863.[13] Stoica P and Seln Y. Cyclic minimizers, majorization techniques, and expectation-maximization algorithm: a refresher[J]. IEEE Signal Processing Magazine, 2004, 21(1): 112-114.[14] Liu B, He Z S, Zeng J K, and Liu B Y. Polyphase orthogonal code design for MIMO radar systems[C]. Proceedings of the International conference on radar, Shanghai, China, 2006: 113-116.
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