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Analysis of Low-Oversampled Staggered SAR Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( IF 5.5 ) Pub Date : 2020-01-01 , DOI: 10.1109/jstars.2019.2959092
Muriel Pinheiro , Pau Prats-Iraola , Marc Rodriguez-Cassola , Michelangelo Villano

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.

中文翻译:

低过采样交错 SAR 数据的分析

SCan-On-REceive 与传输期间脉冲重复间隔的连续变化(交错操作)相结合,是获取大范围高分辨率合成孔径雷达 (SAR) 数据的可行选择。由于采集的数据不是均匀采样的并且在合成孔径内包含间隙,这主要是由于传输期间接收中断(即,由于阻塞),因此必须考虑适当的重建策略以最小化伪影。传统上,需要大的过采样率来确保低模糊度水平,但由于数据速率限制,这并不总是可行的。本文详细分析了低过采样情况下的阻塞恢复。此外,我们提出了一种数据自适应策略来优化执行这一步,确保点状目标的最佳性能并避免分布式散射的退化。本文还提供了模拟结果,显示了交错数据对干涉测量应用的影响。
更新日期:2020-01-01
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