Please use this identifier to cite or link to this item: https://doi.org/10.3390/rs13214431
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dc.titleRobust gmti scheme for highly squinted hypersonic vehicle-borne multichannel sar in dive mode
dc.contributor.authorHan, Jiusheng
dc.contributor.authorCao, Yunhe
dc.contributor.authorWu, Wenhua
dc.contributor.authorWang, Yang
dc.contributor.authorYeo, Tat-Soon
dc.contributor.authorLiu, Shuai
dc.contributor.authorWang, Fengfei
dc.date.accessioned2022-10-13T01:11:08Z
dc.date.available2022-10-13T01:11:08Z
dc.date.issued2021-11-03
dc.identifier.citationHan, 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
dc.identifier.issn2072-4292
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/232788
dc.description.abstractWhile 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.
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.subjectChirp Fourier transform (CFT)
dc.subjectClutter suppression
dc.subjectGround moving target indication (GMTI)
dc.subjectHypersonic vehicle (HSV)
dc.subjectSynthetic aperture radar (SAR)
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/rs13214431
dc.description.sourcetitleRemote Sensing
dc.description.volume13
dc.description.issue21
dc.description.page4431
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