Compressed Sensing Of Complex Sinusoids Off The Grid

Compressed sensing (CS) has provided a novel way for inverse synthetic aperture radar (ISAR) imaging. In CS based ISAR imaging, the continuous range-Doppler plane is divided into grids, and the strong scattering points are assumed on the grids. However, the strong scattering points may not be on the grids, which will degrade the performance of CS greatly. This is the off-grid problem. To solve the problem, most of existing methods aim at estimating off-grid error and sparse solution jointly. But the computational cost is relatively high. To reduce the computational cost, a fast and accurate algorithm has been proposed in this paper. Interestingly, the joint optimization problem can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied into simulated chirp signal and quasi real ISAR data, the proposed algorithm has got much better imaging results than existing algorithms. Therefore, it is a promising off-grid CS based ISAR imaging algorithm. INDEX TERMSCompressed sensing (CS), inverse synthetic aperture radar (ISAR), off-grid, orthogonal matching pursuit (OMP).

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A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

Cheng

Wang

Zhao

et al. 2019

IEEE Access

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Fast off grid compressed sensing ISAR imaging algorithm

Cheng

Zhao

2018

Journal of Electrical Engineering

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To solve the off grid problem in compressed sensing (CS) based inverse synthetic aperture radar (ISAR) imaging, a fast and accurate algorithm has been proposed in the paper. By jointly estimating the off grid error and the sparse solution, off grid ISAR imaging is transformed into a joint optimization problem. Interestingly, it can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied to complex sinusoids and quasi real ISAR data, the proposed algorithm has got better results than the conventional algorithm. Therefore, it is a promising off grid CS based ISAR imaging algorithm.

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Compressed Sensing Of Complex Sinusoids Off The Grid

Cited by 2 publications

References 12 publications

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

Fast off grid compressed sensing ISAR imaging algorithm

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