Enhanced Extraction of Short Pulse Micro-Doppler Features from Underwater Targets Utilizing Modified Inverse Radon Transform

A modified inverse Radon transform is proposed to address the issue of phase estimation bias in short-pulse micro-Doppler signals. The proposed algorithm achieves compensation for phase estimation deviations by constructing a modified signal, thus mitigating the impact on the estimation of subsequent components. Simulation experiments verify that the proposed modified inverse Radon transform can accurately estimate the micro-Doppler features in short pulse.

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Publication Details

Published
2024-09-21
DOI
https://doi.org/10.1109/icicsp62589.2024.10809114
Citations
3
Primary Topic
Underwater Acoustics Research
Type
article
Field-Weighted Citation Impact
1.44

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article

Enhanced Extraction of Short Pulse Micro-Doppler Features from Underwater Targets Utilizing Modified Inverse Radon Transform

Yongqing Wu, Chengpeng Hao, Xuhui Chen, Min Wu
3 citations
Underwater Acoustics Research
1.44
article

Enhanced Extraction of Short Pulse Micro-Doppler Features from Underwater Targets Utilizing Modified Inverse Radon Transform

Yongqing Wu, Chengpeng Hao, Xuhui Chen, Min Wu
article en
3 citations

Abstract

A modified inverse Radon transform is proposed to address the issue of phase estimation bias in short-pulse micro-Doppler signals. The proposed algorithm achieves compensation for phase estimation deviations by constructing a modified signal, thus mitigating the impact on the estimation of subsequent components. Simulation experiments verify that the proposed modified inverse Radon transform can accurately estimate the micro-Doppler features in short pulse.

Institute of Acoustics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association
Openalex Percentile: Top 18%
Underwater Acoustics Research
1.44
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Enhanced Extraction of Short Pulse Micro-Doppler Features from Underwater Targets Utilizing Modified Inverse Radon Transform — Yongqing Wu, Chengpeng Hao, et al. · (2024) | TGRS Research Map | TGRS