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一种改进的知识辅助MIMO雷达空时自适应处理方法
引用本文:侯静, 胡孟凯, 王子微. 一种改进的知识辅助MIMO雷达空时自适应处理方法[J]. 电子与信息学报, 2019, 41(4): 795-800. doi: 10.11999/JEIT180557
作者姓名:侯静  胡孟凯  王子微
作者单位: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
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。



关 键 词:MIMO雷达   知识辅助   空时自适应处理   杂波子空间
收稿时间:2018-06-06
修稿时间:2018-12-11

An Improved Knowledge-aided Space-time Adaptive Signal Processing Algorithm for MIMO Radar
Jing HOU, Mengkai HU, Ziwei WANG. An Improved Knowledge-aided Space-time Adaptive Signal Processing Algorithm for MIMO Radar[J]. Journal of Electronics & Information Technology, 2019, 41(4): 795-800. doi: 10.11999/JEIT180557
Authors:Jing HOU  Mengkai HU  Ziwei WANG
Affiliation: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
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.
Keywords:MIMO radar  Knowledge-aided  Space-Time Adaptive Processing (STAP)  Clutter subspace
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