A Sparse Imaging-based Single Channel Slow-Moving Target Detection Method

A weak moving target detection and parameter estimation method is proposed in this paper. A joint static scene and mismatched moving target radar projection operator is formulated and applied to separate the clutter data and MT signal. The weak moving target can be detected after clutter suppression...

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Bibliographic Details
Published in2019 IEEE International Conference on Computational Electromagnetics (ICCEM) pp. 1 - 4
Main Authors Wang, Xin, Li, Teng, Hou, Zhengwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2019
Subjects
Clutter
Imaging
joint sparse imaging
Object detection
Radar clutter
Radar imaging
SAR moving target detection
single channel
Synthetic aperture radar
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Summary:A weak moving target detection and parameter estimation method is proposed in this paper. A joint static scene and mismatched moving target radar projection operator is formulated and applied to separate the clutter data and MT signal. The weak moving target can be detected after clutter suppression and then moving parameter estimation could be employed based on the retrieved phase of moving target signal. Numerical simulation can verify the validity and robustness of the proposed methodology.
DOI:10.1109/COMPEM.2019.8779073