Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70518
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZheng, Y-
dc.creatorYang, Y-
dc.creatorChen, W-
dc.date.accessioned2017-12-28T06:17:09Z-
dc.date.available2017-12-28T06:17:09Z-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10397/70518-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zheng, Y., Yang, Y., & Chen, W. (2017). A novel range compression algorithm for resolution enhancement in GNSS-SARs. Sensors, 17(7), (Suppl. ), 1496, - is available athttps://dx.doi.org/10.3390/s17071496en_US
dc.subjectGNSS-SARen_US
dc.subjectGlobal navigation satellite systemen_US
dc.subjectSynthetic aperture radaren_US
dc.subjectRange compressionen_US
dc.subjectRange resolutionen_US
dc.titleA novel range compression algorithm for resolution enhancement in GNSS-SARsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume17-
dc.identifier.issue7-
dc.identifier.doi10.3390/s17071496-
dcterms.abstractIn this paper, a novel range compression algorithm for enhancing range resolutions of a passive Global Navigation Satellite System-based Synthetic Aperture Radar (GNSS-SAR) is proposed. In the proposed algorithm, within each azimuth bin, firstly range compression is carried out by correlating a reflected GNSS intermediate frequency (IF) signal with a synchronized direct GNSS base-band signal in the range domain. Thereafter, spectrum equalization is applied to the compressed results for suppressing side lobes to obtain a final range-compressed signal. Both theoretical analysis and simulation results have demonstrated that significant range resolution improvement in GNSS-SAR images can be achieved by the proposed range compression algorithm, compared to the conventional range compression algorithm.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, July 2017, v. 17, no. 7, 1496, p. 1-13-
dcterms.isPartOfSensors-
dcterms.issued2017-
dc.identifier.isiWOS:000407517600035-
dc.identifier.ros2016004123-
dc.identifier.artn1496-
dc.identifier.rosgroupid2016004044-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journal-
dc.description.validatebcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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