机载MIMO雷达收发联合降维STAP算法统一理论框架

郭艺夺 宫健 黄大荣 金虎兵

郭艺夺, 宫健, 黄大荣, 金虎兵. 机载MIMO雷达收发联合降维STAP算法统一理论框架[J]. 雷达学报, 2016, 5(5): 517-525. doi: 10.12000/JR16108
引用本文: 郭艺夺, 宫健, 黄大荣, 金虎兵. 机载MIMO雷达收发联合降维STAP算法统一理论框架[J]. 雷达学报, 2016, 5(5): 517-525. doi: 10.12000/JR16108
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

机载MIMO雷达收发联合降维STAP算法统一理论框架

doi: 10.12000/JR16108
基金项目: 

国家自然科学基金(61501501,61601502)

详细信息
    作者简介:

    郭艺夺(1982-),男,福建龙海人,于2012年获空军工程大学工学博士学位,空军工程大学讲师,主要研究方向为MIMO雷达信号处理、阵列信号处理等。E-mail:guoyiduo111@126.com;宫健(1984-),男,山东德州人,现在西安电子科技大学攻读博士学位,空军工程大学讲师,主要研究方向为雷达信号处理、雷达电子对抗等。E-mail:wcyls@163.com;黄大荣(1986-),男,山西临汾人,于2015年获西安电子科技大学工学博士学位,空军工程大学讲师,主要研究方向为雷达信号处理、SAR成像算法等。E-mail:rsphdr@163.com。

    通讯作者:

    郭艺夺guoyiduo111@126.com

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

Funds: 

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

  • 摘要: 该文研究了机载多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达杂波抑制的收发联合降维空时自适应处理(Space Time Adaptive Processing,STAP)算法统一理论框架。首先,基于机载MIMO雷达发射波形分集的特性,构建了机载MIMO雷达降维联合自适应STAP处理的统一理论框架结构。在此基础上,建立了3种降维STAP处理结构。最后,针对上述3种降维结构,给出了相应的3类适用于MIMO体制的降维STAP处理算法。仿真实验表明:机载MIMO雷达联合降维自适应算法具有较好的杂波抑制性能和较强的抗干扰能力。

     

  • [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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出版历程
  • 收稿日期:  2016-09-20
  • 修回日期:  2016-11-14
  • 网络出版日期:  2016-10-28

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