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