An Autofocus-Coupled UAMP Method for InISAR Imaging
Publication Name
IEEE Sensors Journal
Abstract
Compressive sensing (CS) has been successfully applied to sparse aperture (SA) interferometric inverse synthetic aperture radar (InISAR) imaging, which outperforms traditional Fourier transform-based algorithms. However, existing CS-based algorithms generally assume that motion compensation has been completed perfectly, and do not consider the effect of residual phase error (RPE) in sparse imaging, which may cause degradation of 3D InISAR imaging performance in practical applications. To tackle this issue, an autofocus-coupled approximate message passing with unitary transformation (AFUAMP) algorithm for SA InISAR imaging is proposed in this paper, which can eliminate the effect of RPE on 3D imaging. Specifically, the phase error estimation process is introduced to the UAMP framework for autofocusing, which enables UAMP to simultaneously complete ISAR image reconstruction and autofocus, thereby leading to excellent performance of 3D InISAR imaging. In particular, we analyze the effect of RPE on the interferometric phase in InISAR imaging. Extensive simulation results demonstrate the effectiveness and superiority of the proposed algorithm compared to existing algorithms.
Open Access Status
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