A sparse estimation method for radar target direction with sliding-window subarray configuration in mainlobe jamming

被引：0
|
作者：
Zhou B. [1 ]
Li R. [2 ]
Zeng L. [3 ]
Chen H. [1 ]
Liu W. [1 ]
Li B. [1 ]
机构：
[1] Air Force Early Warning Academy, Wuhan
[2] Aerospace Nanhu Electronic Information Technology Co.，Ltd., Jingzhou
[3] School of Electronic Information, WuHan University, Wuhan
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2023年 / 49卷 / 07期
基金：
中国国家自然科学基金;
关键词：
anti-jamming; mainlobe jamming; radar; sliding-window subarray; sparse recovery;
D O I：
10.13700/j.bh.1001-5965.2021.0552
中图分类号：
学科分类号：
摘要：
The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the radar field. This paper considers the problem of radar target direction estimation in MLJ. Hence, we propose a sparse estimation method for radar target direction with sliding-window subarray configuration in MLJ. MLJ is suppressed in each subarray with the proposed method, and the angle atom is constructed according to the phase relationship between the sliding-window subarrays. Finally, the target direction can be estimated with the orthogonal matching pursuit (OMP) algorithm. When the target input signal-to-noise ratio is 20 dB and the angle between the target and MLJ is 1/2 3 dB beam width, the target angle estimation error is smaller than 1/10 3 dB beam width. The accuracy of the angle estimation is well kept and the MLJ can be cancelled without any prior information. © 2023 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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页码：1623 / 1629
页数：6
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