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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- 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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