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Sensors 2017, 17(7), 1496; doi:10.3390/s17071496

A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs

Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
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Received: 23 March 2017 / Revised: 22 June 2017 / Accepted: 22 June 2017 / Published: 25 June 2017
(This article belongs to the Section Remote Sensors)
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Abstract

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. View Full-Text
Keywords: GNSS-SAR; global navigation satellite system; synthetic aperture radar; range compression; range resolution GNSS-SAR; global navigation satellite system; synthetic aperture radar; range compression; range resolution
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zheng, Y.; Yang, Y.; Chen, W. A Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs. Sensors 2017, 17, 1496.

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