A Generalized Continuous Wave Synthetic Aperture Radar

Nan, Y; Huang, X; Guo, YJ

A Generalized Continuous Wave Synthetic Aperture Radar

Nan, Y Huang, X

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2017, 2017-June
Issue Date:: 2017-11-14

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Field	Value	Language
dc.contributor.author	Nan, Y	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2017-11-14	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2017, 2017-June	en_US
dc.identifier.isbn	9781509059324	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121781
dc.description.abstract	© 2017 IEEE. Attention has been devoted to Synthetic Aperture Radar (SAR) for half a century. Though it is a well-proven remote sensing technique, conventional pulsed SAR has several inherent limitations. In this paper, we present a new SAR concept, called Generalized Continuous Wave SAR (GCW-SAR). By using continuous wave signaling, the GCW-SAR system achieves better performance and overcomes the limitations such as the minimum antenna area in conventional SAR. Unlike the frequency modulated continuous wave SAR (FMCW-SAR) system, the GCW-SAR image is reconstructed by correlation between the sampled raw data and the location dependent reference signals. A fast image reconstruction algorithm is also presented in the paper. The principle of GCW-SAR and the effectiveness of the proposed algorithm are validated by numerical simulation results.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160101693
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2017.8108415	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Generalized Continuous Wave Synthetic Aperture Radar	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-June	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-June	en_US

Abstract:

© 2017 IEEE. Attention has been devoted to Synthetic Aperture Radar (SAR) for half a century. Though it is a well-proven remote sensing technique, conventional pulsed SAR has several inherent limitations. In this paper, we present a new SAR concept, called Generalized Continuous Wave SAR (GCW-SAR). By using continuous wave signaling, the GCW-SAR system achieves better performance and overcomes the limitations such as the minimum antenna area in conventional SAR. Unlike the frequency modulated continuous wave SAR (FMCW-SAR) system, the GCW-SAR image is reconstructed by correlation between the sampled raw data and the location dependent reference signals. A fast image reconstruction algorithm is also presented in the paper. The principle of GCW-SAR and the effectiveness of the proposed algorithm are validated by numerical simulation results.

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http://hdl.handle.net/10453/121781