Please use this identifier to cite or link to this item: https://doi.org/10.3390/rs13112051
Title: Robust clutter suppression and ground moving target imaging method for a multichannel sar with high-squint angle mounted on hypersonic vehicle
Authors: Han, Jiusheng
Cao, Yunhe
Yeo, Tat-Soon 
Wang, Fengfei
Keywords: Chirp Fourier transform (CFT)
Clutter suppression
Ground moving target (GMT)
Hypersonic vehicle (HSV)
Parameter estimation
Synthetic aperture radar (SAR)
Issue Date: 22-May-2021
Publisher: MDPI AG
Citation: Han, Jiusheng, Cao, Yunhe, Yeo, Tat-Soon, Wang, Fengfei (2021-05-22). Robust clutter suppression and ground moving target imaging method for a multichannel sar with high-squint angle mounted on hypersonic vehicle. Remote Sensing 13 (11) : 2051. ScholarBank@NUS Repository. https://doi.org/10.3390/rs13112051
Rights: Attribution 4.0 International
Abstract: This paper investigates a robust clutter suppression and detection of ground moving target (GMT) imaging method for a multichannel synthetic aperture radar (MC-SAR) with high-squint angle mounted on hypersonic vehicle (HSV). A modified coarse-focused method with cubic chirp Fourier transform (CFT) is explored first that permits the coarsely focused imageries to be recovered, thus alleviated the impacts of GMT Doppler ambiguity and range cell migration (RCM). After that, in combination with joint-pixel model, a robust clutter suppression method which enhances the GMT integration, and improving the accuracy of radial speed (RS) recovery by modifying the matching between the beamformer center and GMT, is proposed. Due to that the first-order phase compensation and RS retrieval are predigested, the proposed algorithm has lower the algorithmic complexity. Finally, the feasibility of our proposed method are verified via experimental results based on simulated and real measured data. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Source Title: Remote Sensing
URI: https://scholarbank.nus.edu.sg/handle/10635/232456
ISSN: 2072-4292
DOI: 10.3390/rs13112051
Rights: Attribution 4.0 International
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