A Through-the-Wall Radar Azimuth Sidelobe Suppression Based on Multibit Coherence Factor

Due to the utilization of a sparse MIMO array, through-the-wall radar image often suffers from high azimuth sidelobe, which makes detection in sheltered space difficult. To overcome this challenge, a through-the-wall radar azimuth sidelobe suppression method based on multibit coherence factor is proposed. The imaging phases across different channels are quantized according to the specified quantization bits. Furthermore, the quantized phases are used to generate the weight. Finally, the original radar image is weighted to suppress the azimuth sidelobe. Through numerical simulations and field experiment, the effectiveness of the proposed method is verified, and the influence of quantization bits on the proposed method is analyzed.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868957
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.30

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article

A Through-the-Wall Radar Azimuth Sidelobe Suppression Based on Multibit Coherence Factor

Dong Shi, Weicheng Gao, Haoyu Meng, Zeyu Ma et al.
1 citations
Advanced SAR Imaging Techniques
1.30
article

A Through-the-Wall Radar Azimuth Sidelobe Suppression Based on Multibit Coherence Factor

Dong Shi, Weicheng Gao, Haoyu Meng, Zeyu Ma, Xiaodong Qu
article en
1 citations

Abstract

Due to the utilization of a sparse MIMO array, through-the-wall radar image often suffers from high azimuth sidelobe, which makes detection in sheltered space difficult. To overcome this challenge, a through-the-wall radar azimuth sidelobe suppression method based on multibit coherence factor is proposed. The imaging phases across different channels are quantized according to the specified quantization bits. Furthermore, the quantized phases are used to generate the weight. Finally, the original radar image is weighted to suppress the azimuth sidelobe. Through numerical simulations and field experiment, the effectiveness of the proposed method is verified, and the influence of quantization bits on the proposed method is analyzed.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Beijing Institute of Technology Research Fund Program for Young Scholars
Climate action
Openalex Percentile: Top 11%
Advanced SAR Imaging Techniques
1.30
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A Through-the-Wall Radar Azimuth Sidelobe Suppression Based on Multibit Coherence Factor — Dong Shi, Weicheng Gao, et al. · (2024) | TGRS Research Map | TGRS