Volume 5 Issue 5
Nov.  2016
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Guo Yiduo, Gong Jian, Huang Darong, Jin Hubing. Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar[J]. Journal of Radars, 2016, 5(5): 517-525. doi: 10.12000/JR16108
Citation: Guo Yiduo, Gong Jian, Huang Darong, Jin Hubing. Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar[J]. Journal of Radars, 2016, 5(5): 517-525. doi: 10.12000/JR16108

Unified Theoretical Frame of a Joint Transmitter-Receiver Reduced Dimensional STAP Method for an Airborne MIMO Radar

DOI: 10.12000/JR16108
Funds:

The National Natural Science Foundation of China (61501501, 61601502)

  • Received Date: 2016-09-20
  • Rev Recd Date: 2016-11-14
  • Publish Date: 2016-10-28
  • The unified theoretical frame of a joint transmitter-receiver reduced dimensional Space-Time Adaptive Processing (STAP) method is studied for an airborne Multiple-Input Multiple-Output (MIMO) radar. First, based on the transmitted waveform diverse characteristics of the transmitted waveform of the airborne MIMO radar, a uniform theoretical frame structure for the reduced dimensional joint adaptive STAP is constructed. Based on it, three reduced dimensional STAP fixed structures are established. Finally, three reduced rank STAP algorithms, which are suitable for a MIMO system, are presented corresponding to the three reduced dimensional STAP fixed structures. The simulations indicate that the joint adaptive algorithms have preferable clutter suppression and anti-interference performance.

     

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  • [1]
    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. Wang Y L and Peng Y N. Space Time Adaptive Processing[M].Beijing:Tsinghua University Press, 2000.
    [2]
    Melvin W L. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1):19-35.
    [3]
    Yang X, Sun Y, Zeng T, et al.. Fast STAP method based on PAST with sparse constraint for airborne phased array radar[J]. IEEE Transactions on Signal Processing, 2016, 64(17):4550-4561.
    [4]
    Klemm R. Suboptimum clutter suppression for airborne phased array radar[C]. IEE Radar Conference, London, 1982, 216:473-476.
    [5]
    Klemm R. Adaptive airborne MTI:An auxiliary channel approach[J]. IEE Proceedings F, 1987, 134(3):269-276.
    [6]
    保铮, 廖桂生, 吴仁彪, 等. 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. Bao Z, Liao G S, Wu R B, et al.. 2-D temporal-spatial adaptive clutter suppression for phased array airborne radars[J]. Acta Electronic Sinica, 1993, 21(9):1-7.
    [7]
    Wang H and Cai L. On adaptive spatial-temporal processing for airborne surveillance radar systems[J]. IEEE Transactions on Aerospace Electronics Systems, 1994, 30(3):660-669.
    [8]
    Wang Y, Chen J, Bao Z, et al.. Robust space-time adaptive processing for airborne radar in nonhomogeneous clutter environments[J]. IEEE Transactions on Aerospace Electronics Systems, 2003, 39(1):70-81.
    [9]
    Fishler E, Haimovich A, Blum R, et al.. MIMO radar:An idea whose time has come[C]. Proceedings of the IEEE Radar Conference, 2004:71-78.
    [10]
    Li J and Stoica P. MIMO radar with colocated antennas[J]. IEEE Signal Processing Magazine, 2007, 24(5):106-114.
    [11]
    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.
    [12]
    Wang G H and Lu Y L. Clutter rank of STAP in MIMO radar with waveform diversity[J]. IEEE Transactions on Signal Processing, 2010, 58(2):938-943.
    [13]
    He J, Feng D, and Ma L. Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations[J]. IET Radar, Sonar & Navigation, 2015, 9(3):249-254.
    [14]
    王珽, 赵拥军. 基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法[J]. 航空学报, 2015, 36(11):3706-3714. Wang T and Zhao Y J. Robust reduced-dimension STAP method for airborne MIMO radar based on TRIA and SOCP[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(11):3706-3714.
    [15]
    Guerci J R. Cognitive Radar-The Knowledge-Aidded Fully Adaptive Approach[M]. Boston, London:Artech House, 2010:91-109.
    [16]
    Wang H Y, Liao G S, Li J, et al.. Waveform optimization for MIMO-STAP to improve the detection performance[J]. Signal Processing, 2011, 91(11):2690-2696.
    [17]
    Wang H Y, Liao G S, Li J, et al.. Robust waveform design for MIMO-STAP to improve the worst-case detection performance[J]. EURASIP Journal on Advances in Signal Processing, 2013, 52:1-8.
    [18]
    唐波, 张玉, 李科, 等. 杂波中MIMO雷达恒模波形及接收机联合优化算法研究[J]. 电子学报, 2014, 42(9):1706-1711. Tang B, Zhang Y, Li K, et al.. Joint constant-envelope waveform and receiver design for MIMO radar in the presence of clutter[J]. Acta Electronica Sinica, 2014, 42(9):1706-1711.
    [19]
    Tang B and Tang J. Joint design of transmit waveforms and receive filters for MIMO radar space time adaptive processing[J]. IEEE Transactions on Signal Processing, 2016, 64(18):4707-4722.
    [20]
    Tang B, Li J, Zhang Y, et al.. Design of MIMO radar waveform covariance matrix for clutter and jamming suppression based on space time adaptive processing[J]. Signal Processing, 2016, 121:60-69.
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