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Analysis of Low-Oversampled Staggered SAR Data

Authors :
Muriel Pinheiro
Pau Prats-Iraola
Marc Rodriguez-Cassola
Michelangelo Villano
Source :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 241-255 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The combination of SCan-On-REceive with continuous variation of the pulse repetition interval during transmission (staggered operation) is a viable option for the acquisition of high-resolution synthetic aperture radar (SAR) data over wide areas. Since the acquired data are not uniformly sampled and contain gaps within the synthetic aperture mainly due to the interruption of reception during transmission (i.e., due to blockage), proper reconstruction strategies must be considered in order to minimize artifacts. Conventionally, large oversampling rates are required to ensure low ambiguity levels, but this is not always feasible due to data-rate constrains. This article presents a detailed analysis of the blockage recovery in the low-oversampling case. Moreover, we propose a data adaptive strategy to optimally perform this step, ensuring the best performance for point-like targets and avoiding degradation for distributed scatters. This paper also presents simulation results that show the impact of staggered data for interferometric applications.

Details

Language :
English
ISSN :
21511535
Volume :
13
Database :
Directory of Open Access Journals
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.74ca3fd14e7d4ae38c56a7129faa72ff
Document Type :
article
Full Text :
https://doi.org/10.1109/JSTARS.2019.2959092