Research on Sidelobe Suppression Algorithm of Pulse Compression in Radar Signal Processing

Linear frequency modulation (LFM) signal is often used for pulse compression in radar system, but there are some problems such as high sidelobe and main lobe broadening after compression, which has certain interference to the accurate detection of actual target signal. This paper discusses the bidirectional weighted ultra-low sidelobe pulse compression algorithm, and gives an improved algorithm according to its shortcomings. Based on this, the window function linear combination method is introduced, which can obtain better sidelobe suppression ability when the main lobe width is basically unchanged.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864614
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
1.30
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Research on Sidelobe Suppression Algorithm of Pulse Compression in Radar Signal Processing

Y. Z. Liu, Li Wang, Yong Luo, Xu Chen et al.
1 citations
Radar Systems and Signal Processing
1.30
article

Research on Sidelobe Suppression Algorithm of Pulse Compression in Radar Signal Processing

Y. Z. Liu, Li Wang, Yong Luo, Xu Chen, Qiaoyu Li, Xiaoxue Li
article en
1 citations

Abstract

Linear frequency modulation (LFM) signal is often used for pulse compression in radar system, but there are some problems such as high sidelobe and main lobe broadening after compression, which has certain interference to the accurate detection of actual target signal. This paper discusses the bidirectional weighted ultra-low sidelobe pulse compression algorithm, and gives an improved algorithm according to its shortcomings. Based on this, the window function linear combination method is introduced, which can obtain better sidelobe suppression ability when the main lobe width is basically unchanged.

University of Electronic Science and Technology of China (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Radar Systems and Signal Processing
1.30
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