Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: Enhanced GNSS-SAR range-doppler algorithm for the target detection of weak reflected signals : an experimental study
Authors: Zheng, Y 
Yang, Y 
Chen, W 
Issue Date: 1-Jun-2017
Source: Journal of aeronautics, astronautics and aviation, 1 June 2017, v. 49, no. 2, p. 83-92
Abstract: A new tool for remote sensing GNSS-SAR is developing recently. However, due to the limitation of narrow signal band of GNSS signals, images generated by GNSS-SAR are much noisy and with low azimuth resolution, particularly when reflected GNSS signals are weak. Due to the issue, a new algorithm is proposed for target detection based on the Range-Doppler algorithm in this paper. Firstly, according to the analysis of the average SNR (signal-to-noise ratio) of the received reflected signal, optimal threshold and range correlation duration are derived for detecting range compressed signal. Thereafter by properly scaling the detected range compressed signals along azimuth domain, we can further enhance the SNR along specified azimuth direction. Thus, when conducting azimuth processing, the azimuth resolution can be improved. In the paper, the new algorithms will be described and the experiment results will be presented.
Keywords: Range-Doppler Algorithm
GNSS-SAR imaging
Signal to noise ratio
Azimuth resolution
Publisher: Aeronautical and Astronautical Society of the Republic of China
Journal: Journal of aeronautics, astronautics and aviation 
ISSN: 1990-7710
EISSN: 1990-7729
DOI: 10.6125/17-0109-921
Rights: Posted with permission of the publisher.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zheng_Enhanced_GNSS-SAR_Range-Doppler.pdf1.08 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of Sep 24, 2023


Citations as of Sep 24, 2023


Citations as of Sep 28, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.