Please use this identifier to cite or link to this item: https://doi.org/10.3390/rs13214431
Title: Robust gmti scheme for highly squinted hypersonic vehicle-borne multichannel sar in dive mode
Authors: Han, Jiusheng
Cao, Yunhe
Wu, Wenhua
Wang, Yang
Yeo, Tat-Soon 
Liu, Shuai
Wang, Fengfei
Keywords: Chirp Fourier transform (CFT)
Clutter suppression
Ground moving target indication (GMTI)
Hypersonic vehicle (HSV)
Synthetic aperture radar (SAR)
Issue Date: 3-Nov-2021
Publisher: MDPI
Citation: Han, Jiusheng, Cao, Yunhe, Wu, Wenhua, Wang, Yang, Yeo, Tat-Soon, Liu, Shuai, Wang, Fengfei (2021-11-03). Robust gmti scheme for highly squinted hypersonic vehicle-borne multichannel sar in dive mode. Remote Sensing 13 (21) : 4431. ScholarBank@NUS Repository. https://doi.org/10.3390/rs13214431
Rights: Attribution 4.0 International
Abstract: While there are recent researches on hypersonic vehicle-borne multichannel synthetic aperture radar in ground moving target indication (HSV-MC-SAR/GMTI), this article, which specifically explores a robust GMTI scheme for the highly squinted HSV-MC-SAR in dive mode, is novel. First, an improved equivalent range model (IERM) for stationary targets and GMTs is explored, which enjoys a concise expression and therefore offers the potential to simplify the GMTI process. Then, based on the proposed model, a robust GMTI scheme is derived in detail, paying particular attention to Doppler ambiguity arising from the high-speed and high-resolution wide-swath. Furthermore, it retrieves the accurate two-dimensional speeds of GMTs and realizes the satisfactory performance of clutter rejection and GMT imaging, generating the matched beamforming and enhancing the GMT energy. Finally, it applies the inverse projection to revise the geometry shift induced by the vertical speed. Simulation examples are used to verify the proposed GMTI scheme. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Source Title: Remote Sensing
URI: https://scholarbank.nus.edu.sg/handle/10635/232788
ISSN: 2072-4292
DOI: 10.3390/rs13214431
Rights: Attribution 4.0 International
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