Preprint Article Version 1 This version is not peer-reviewed

A Novel Range Compression Algorithm for The~Resolution Enhancement in GNSS-SAR

Version 1 : Received: 23 March 2017 / Approved: 23 March 2017 / Online: 23 March 2017 (09:20:08 CET)

A peer-reviewed article of this Preprint also exists.

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

Journal reference: Sensors 2017, 17, 1496
DOI: 10.3390/s17071496

Abstract

Passive Global Navigation Satellite System (GNSS)-based Synthetic Aperture Radar (SAR), known as GNSS-SAR, is a new passive radar imaging system. However, compared with conventional SAR, range resolution of GNSS-SAR is significantly lower. To improve range resolution of GNSS-SAR is an interested topic for investigation. In this paper, a novel range compression algorithm for enhancing range resolutions of GNSS-SAR is proposed. In the proposed scheme, at first, range compression is conducted by correlating the received reflected GNSS signal of intermediate frequency (IF) with the synchronized direct baseband GNSS signal in range domain. Then spectrum equalization is applied to the compressed results to suppress side lobes. Both theoretical analysis and simulation results have demonstrated that significant range resolution improvement in GNSS-SAR can be obtained by the proposed range compression algorithm, compared to the conventional range compression algorithm.

Subject Areas

GNSS-SAR; global navigation satellite system; synthetic aperture radar; range compression; range resolution

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