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

Changjie Wang; Ziming Zheng; Kaixiang Zhang; Shaoqiang Chang; Quanhua Liu

doi:10.1109/JSEN.2023.3317407

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

Changjie Wang, Ziming Zheng, Kaixiang Zhang, Shaoqiang Chang^*, Quanhua Liu

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	26292-26301
Number of pages	10
Journal	IEEE Sensors Journal
Volume	23
Issue number	21
DOIs	https://doi.org/10.1109/JSEN.2023.3317407
Publication status	Published - 1 Nov 2023

Keywords

Distributed radar
jamming suppression
least mean square (LMS) algorithm
low-cost array

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10.1109/JSEN.2023.3317407

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

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.",

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author = "Changjie Wang and Ziming Zheng and Kaixiang Zhang and Shaoqiang Chang and Quanhua Liu",

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AU - Wang, Changjie

AU - Zheng, Ziming

AU - Zhang, Kaixiang

AU - Chang, Shaoqiang

AU - Liu, Quanhua

PY - 2023/11/1

Y1 - 2023/11/1

N2 - 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.

AB - 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.

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KW - jamming suppression

KW - least mean square (LMS) algorithm

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

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Keywords

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