A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs
In 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 refl...
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MDPI AG
2017-06-01
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Online Access: | http://www.mdpi.com/1424-8220/17/7/1496 |
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author | Yu Zheng Yang Yang Wu Chen |
author_facet | Yu Zheng Yang Yang Wu Chen |
author_sort | Yu Zheng |
collection | DOAJ |
description | In 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. |
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id | doaj.art-4e40e88d27d84695b62e249396e6d950 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-12-10T08:21:10Z |
publishDate | 2017-06-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-4e40e88d27d84695b62e249396e6d9502022-12-22T01:56:20ZengMDPI AGSensors1424-82202017-06-01177149610.3390/s17071496s17071496A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARsYu Zheng0Yang Yang1Wu Chen2Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, ChinaDepartment of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, ChinaDepartment of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, ChinaIn 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.http://www.mdpi.com/1424-8220/17/7/1496GNSS-SARglobal navigation satellite systemsynthetic aperture radarrange compressionrange resolution |
spellingShingle | Yu Zheng Yang Yang Wu Chen A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs Sensors GNSS-SAR global navigation satellite system synthetic aperture radar range compression range resolution |
title | A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs |
title_full | A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs |
title_fullStr | A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs |
title_full_unstemmed | A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs |
title_short | A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs |
title_sort | novel range compression algorithm for resolution enhancement in gnss sars |
topic | GNSS-SAR global navigation satellite system synthetic aperture radar range compression range resolution |
url | http://www.mdpi.com/1424-8220/17/7/1496 |
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