基于RIPless理论的层析SAR成像航迹分布优化方法

doi:10.7527/S1000-6893.2015.0131

Abstract

Abstract:

Synthetic aperture radar tomography(TomoSAR) applies measured repeat-pass SAR images to synthetize an aperture in the elevation direction, so as to achieve three-dimensional imaging. In recent years, compressive sensing(CS) has been used for elevation reconstruction for the sparse elevation distribution. The imaging quality of elevation of CS-based TomoSAR depends on the recovery property of measurement matrix, which is affected by the track distribution. Compared to other restrictions of recovery property for measurement matrix, RIPless theory is intuitionistic, effective and simple to calculate. In this paper, we propose a track distribution optimal criterion for CS-based TomoSAR via RIPless theory to optimize the distribution of flight tracks and achieve optimal reconstruction of elevation when the number of tracks is fixed. Simulation and experimental results validate the validity of the proposed optimization criterion.

Key words: synthetic aperture radar tomography, compressive sensing, RIPless theory, measurement matrix, track optimization

CLC Number:

V243.2
TN958

BI Hui, ZHANG Bingchen, HONG Wen. Track distribution optimization method based on TomoSAR via RIPless theory[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(2): 680-687.

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Track distribution optimization method based on TomoSAR via RIPless theory

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