一种改进的知识辅助MIMO雷达空时自适应处理方法  

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

作　　者：侯静[1] 胡孟凯 王子微 HOU Jing;HU Mengkai;WANG Ziwei(School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710072,China;School of Electronics Engineering and Computer Science,Peking University,Beijing 100871,China)

机构地区：[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

出　　处：《电子与信息学报》2019年第4期795-800,共6页Journal of Electronics & Information Technology

基　　金：航空科学基金(2016ZC53033)~~

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。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.

关 键 词：MIMO雷达 知识辅助 空时自适应处理 杂波子空间 

分 类 号：TN957.51[电子电信—信号与信息处理]