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Adaptive Main-Lobe Jamming Suppression Based on Cascaded LMS Filter With Low-Cost Distributed Radar

Authors :
Wang, Changjie
Zheng, Ziming
Zhang, Kaixiang
Chang, Shaoqiang
Liu, Quanhua
Source :
IEEE Sensors Journal; November 2023, Vol. 23 Issue: 21 p26292-26301, 10p
Publication Year :
2023

Abstract

Anti-jamming technology holds an important position in the field of radar research. The main-lobe jamming has emerged as a significant threat to radar system performance. To address the imperative need for radar main-lobe jamming suppression, this article proposes a cascaded least mean square (LMS) jamming suppression method. Compared with the traditional fast-time LMS filtering method, the proposed method can offer notable enhancements in both signal-to-interference-plus-noise ratio (SINR) and signal-to-noise ratio (SNR). This article also employs a low-cost receiver array to carry out the main-lobe jamming suppression verification. The results of the experiment prove the effectiveness of the proposed method. Moreover, the utilization of the low-cost and lightweight receiving array can be applied to other jamming suppression processes, thereby providing an alternative technical strategy for main-lobe jamming suppression.

Details

Language :
English
ISSN :
1530437X and 15581748
Volume :
23
Issue :
21
Database :
Supplemental Index
Journal :
IEEE Sensors Journal
Publication Type :
Periodical
Accession number :
ejs64406206
Full Text :
https://doi.org/10.1109/JSEN.2023.3317407