One-Bit Radar Sparse Imaging Based on Single-Frequency Thresholds

To address the issue of lost amplitude information in received echo for one-bit radar imaging, a one-bit radar sparse imaging method based on single-frequency threshold is proposed. The proposed algorithm employs the single-frequency threshold in one-bit quantization. By utilizing the prior information of the threshold, it successfully can recover the amplitude information of the range profiles. Thus, this approach can reduce the degradation caused by amplitude distortion during subsequent processing in the cross-range dimension, thereby enhancing the overall imaging quality. Experimental results show that the proposed algorithm is able to recover the target’s scattering intensity for one-bit radar.

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Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881911
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
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article

One-Bit Radar Sparse Imaging Based on Single-Frequency Thresholds

Bo Zhao, Qiuchen Liu, Lei Huang, Peng Sun et al.
Integrated Circuits and Semiconductor Failure Analysis
article

One-Bit Radar Sparse Imaging Based on Single-Frequency Thresholds

Bo Zhao, Qiuchen Liu, Lei Huang, Peng Sun, Weiquan Huang
article en

Abstract

To address the issue of lost amplitude information in received echo for one-bit radar imaging, a one-bit radar sparse imaging method based on single-frequency threshold is proposed. The proposed algorithm employs the single-frequency threshold in one-bit quantization. By utilizing the prior information of the threshold, it successfully can recover the amplitude information of the range profiles. Thus, this approach can reduce the degradation caused by amplitude distortion during subsequent processing in the cross-range dimension, thereby enhancing the overall imaging quality. Experimental results show that the proposed algorithm is able to recover the target’s scattering intensity for one-bit radar.

Shenzhen University (CN)
National Natural Science Foundation of China, Shenzhen University, Shenzhen Peacock Plan, National Science Fund for Distinguished Young Scholars
Affordable and clean energy
Openalex Percentile: Top 74%
Integrated Circuits and Semiconductor Failure Analysis
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One-Bit Radar Sparse Imaging Based on Single-Frequency Thresholds — Bo Zhao, Qiuchen Liu, et al. · (2024) | TGRS Research Map | TGRS