Analysis of Low-Oversampled Staggered SAR Data

Autor: Muriel Pinheiro, Pau Prats-Iraola, Marc Rodriguez-Cassola, Michelangelo Villano
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 241-255 (2020)
Druh dokumentu: article
ISSN: 2151-1535
DOI: 10.1109/JSTARS.2019.2959092
Popis: 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.
Databáze: Directory of Open Access Journals