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Single Channel SAR Ground Moving Target Detection Algorithm Based on Subband Interferometry
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AI
DOI：10.1109/LGRS.2022.3143874.png)
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Abstract
En 中文
Traditional synthetic aperture radar (SAR) ground moving target detection (GMTD) technology mostly relies on multichannel data, which requires higher complexity of the radar system. This letter proposes a subband interferometry (SBI)-based algorithm for single-channel SAR GMTD. First, the echo signal is divided into high and low bands containing overlapping parts before the imaging process, then the subbands are imaged separately, and the SBI algorithm is used to achieve the interferometric phase of the subbands. It can be observed that the moving target has the characteristics of phase reversal in the interferometric phase image, and graphics operations such as median filtering or morphological processing can be used to detect the moving target. In this letter, the relationship between the subbands coincidence, the correlation coefficient (CC) of SBI, and the phase of moving target after SBI processing are derived. The real airborne SAR data verify the feasibility and effectiveness of the algorithm.
Keywords:
Synthetic aperture radar
Interferometry
Radar tracking
Target tracking
Radar imaging
Imaging
Bandwidth
Ground moving target detection (GMTD)
single-channel
subband interferometry (SBI)
synthetic aperture radar (SAR)
Journal
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16.4
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Citations:
5.1K
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