一种改进的知识辅助MIMO雷达空时自适应处理方法

侯静; 胡孟凯; 王子微

doi:10.11999/JEIT180557

一种改进的知识辅助MIMO雷达空时自适应处理方法

doi: 10.11999/JEIT180557

1.
西北工业大学电子信息学院西安 710072
2.
北京大学信息科学技术学院北京 100871

基金项目: 航空科学基金(2016ZC53033)

详细信息

作者简介:
侯静：女，1984年生，讲师，主要研究方向为雷达信号处理、信息融合等

胡孟凯：男，1994年生，硕士生，研究方向为雷达信号处理、智能信息处理等

王子微：女，1993年生，博士生，研究方向为雷达信号处理、自适应信号处理等

通讯作者:
侯静　jhou0825@nwpu.edu.cn

中图分类号: TN958
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- 文章访问数: 1626
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- 被引次数: 0
出版历程
- 收稿日期: 2018-06-06
- 修回日期: 2018-12-11
- 网络出版日期: 2018-12-26
- 刊出日期: 2019-04-01

An Improved Knowledge-aided Space-time Adaptive Signal Processing Algorithm for MIMO Radar

1.
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2.
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China

Funds: The Fund of Aeronautics Science (2016ZC53033)

摘要

摘要:
针对机载多输入多输出(MIMO)雷达杂波抑制问题，该文提出一种改进的基于知识辅助的空时自适应信号处理算法(KA-STAP)。根据杂波在空时2维平面的先验分布离线构造杂波子空间，以此替代基于扁长椭球波函数(PSWF)估计的杂波子空间，避免了复杂运算。仿真结果表明，所提方法不仅能减小运算量，还能获得更深的零陷以及更优的旁瓣性能。
- MIMO雷达 /
- 知识辅助 /
- 空时自适应处理 /
- 杂波子空间
Abstract:
Focusing on the clutter suppression problem of the airborne Multiple Input Multiple Output (MIMO) radar, an improved method based on Knowledge-Aided Space-Time Adaptive signal Processing (KA-STAP) algorithm is proposed. The clutter subspace is constructed offline according to the prior distribution of the clutter in the space-time plane, to replace that of estimation based on the Prolate Spheroidal Wave Function (PSWF), so that complex operations are avoided. Simulation results show that the proposed approach can not only reduce the computational complexity, but can obtain deeper notch and better side-lobe performance.
- MIMO radar /
- Knowledge-aided /
- Space-Time Adaptive Processing (STAP) /
- Clutter subspace

HTML全文

图 1 机载MIMO雷达系统结构

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图 2 运算时间

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图 3 自适应空域方向图

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图 4 改善因子曲线

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图 5 幅相误差的影响

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图 6 杂波起伏的影响

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参考文献(17)

BRENNAN L E and REED I S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, 9(2): 237–252 doi: 10.1109/TAES.1973.309792

WEN Cai, PENG Jinye, ZHOU Yan, et al. Enhanced three-dimensional joint domain localized STAP for airborne FDA-MIMO radar under dense false-target jamming scenario[J]. IEEE Sensors Journal, 2018, 18(10): 4154–4166 doi: 10.1109/JSEN.2018.2820905

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.

WANG Ting, ZHAO Yongjun, HUANG Jie, et al. A reduced-rank STAP algorithm for simultaneous clutter plus jamming suppression in airborne MIMO radar[C]. 2017 18th International Radar Symposium (IRS), Prague, The Czech Republic, 2017: 1–10.

FENG Weike, ZHANG Yongshun, and HE Xingyu. Clutter rank estimation for reduce-dimension space-time adaptive processing MIMO radar[J]. IEEE Sensors Journal, 2017, 17(2): 238–239 doi: 10.1109/JSEN.2016.2632308

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 doi: 10.1109/TAES.1974.307893

CHEN Cheng, HE Junjie, YUAN Zeshi, et al. Robust STAP for MIMO radar based on direct data domain approach[J]. International Journal of Antennas and Propagation, 2017: 1–9 doi: 10.1155/2017/6967130

BRIGUI F, BOIZARD M, GINOLHAC G, et al. New low-rank filters for MIMO-STAP based on an orthogonal tensorial decomposition[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(3): 1208–1220 doi: 10.1109/TAES.2017.2776679

王珽, 赵拥军, 赵闯. 基于发射波束域-三迭代的机载MIMO雷达STAP方法[J]. 电子与信息学报, 2016, 38(5): 1034–1040 doi: 10.11999/JEIT150741

WANG Ting, ZHAO Yongjun, and ZHAO Chuang. Airborne MIMO radar STAP method based on transmit beamspace-tri-iterative algorithm[J]. Journal of Electronics &Information Technology, 2016, 38(5): 1034–1040 doi: 10.11999/JEIT150741

GERLACH K and PICCIOLO M L. Airborne/spacebased radar STAP using a structured covariance matrix[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(1): 269–281 doi: 10.1109/TAES.2003.1188909

GUERCI J R, GOLDSTEIN J S, and REED I S. Optimal and adaptive reduced-rank STAP[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2): 647–661 doi: 10.1109/7.845255

CHEN Chunyang, 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 doi: 10.1109/TSP.2007.907917

翟伟伟, 张弓, 刘文波. 基于杂波子空间估计的MIMO雷达降维STAP研究[J]. 航空学报, 2010, 31(9): 1824–1831

ZHAI Weiwei, ZHANG Gong, and LIU Wenbo. Study of reduced-rank STAP based on estimation of clutter subspace for MIMO radar[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(9): 1824–1831

BEFGIN J S, TEIXEIRA C M, TECHAU P M, et al. Improved clutter mitigation performance using knowledge-aided space-time adaptive processing[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(3): 487–494 doi: 10.1109/TAES.2006248194

STOICA P, LI Jian, XU Min, et al. On using a priori knowledge in space-time adaptive processing[J]. IEEE Transactions on Signal Processing, 2008, 56(6): 437–444 doi: 10.1109/TSP.2007.914347

陆达, 张弓. 知识辅助的机载MIMO雷达降秩STAP算法[J]. 数据采集与处理, 2012, 27(4): 429–435 doi: 10.3969/j.issn.1004-9037.2012.04.006

LU Da and ZHANG Gong. Knowledge-aided reduced-rank STAP algorithm for airborne MIMO radar[J]. Journal of Data Acquisition &Processing, 2012, 27(4): 429–435 doi: 10.3969/j.issn.1004-9037.2012.04.006

吕晖, 冯大政, 和洁, 等. 一种简化的机载MIMO雷达杂波特征相消器[J]. 航空学报, 2011, 32(5): 866–872

LÜ Hui, FENG Dazheng, HE Jie, et al. A simplified eigencanceler for airborne MIMO radar clutter suppression[J]. Acta Aeronoutica et Astronautica Sinica, 2011, 32(5): 866–872

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