Paper Info
Title
High-Resolution ISAR Imaging and Motion Compensation With 2-D Joint Sparse Reconstruction
Abstract
With regard to the multifunction radar transmitting sparse stepped-frequency-modulation (SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal is usually sparse in two dimensions, i.e., sparse stepped-frequency-modulation and sparse aperture waveforms (SSFM-SAWs), and there are translational and rotational motion errors between subpulses. The two problems seriously challenge the feasibility of conventional 1-D sparse reconstruction algorithms. This article proposes a novel high-resolution ISAR imaging and motion compensation with the 2-D joint sparse reconstruction (2D-JSR) algorithm. In this technique, a 2D-JSR dictionary is established according to the SSFM-SAW signal model. Based on the Bayesian compressive sensing (BCS) theory, the 2D-JSR is then transformed into solving a sparsity-driven optimization problem with <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${l_{1}}$ </tex-math></inline-formula> -norm constraint. With the accommodation of a modified quasi-Newton solver, the exact recovery of SSFM-SAW can be achieved. In addition, a new algorithm, named joint translational motion compensation and range spatial-variant autofocus (JTSVA) algorithm, is also developed to realize motion parameters by a two-step estimation. Integrating with 2-D coupling information of echo signal and the efficient and robust motion compensation algorithm, the accurate motion parameters together with well-focused and scaled high-resolution ISAR images can be obtained. Extensive experiments based on both simulated and real data demonstrate that the proposed algorithm is capable of the precise reconstruction of ISAR images and the effective suppression of both motion errors and noise.
Year
DOI
Venue
2020
10.1109/TGRS.2020.2974550
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Imaging,Motion compensation,Radar imaging,Image reconstruction,Estimation,Couplings
Journal
58
Issue
ISSN
Citations 
10
0196-2892
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Shuai Shao112.72
Lei Zhang219522.87
LIU Hong-wei3254.79