1 December 2021 Two-dimensional reweighted alternating direction method of multipliers for inverse synthetic aperture radar imaging with pattern-coupled sparse structure
Xu Wei, Jun Yang, Mingjiu Lv, Wenfeng Chen, Xiaoyan Ma
Author Affiliations +
Abstract

To realize inverse synthetic aperture radar imaging with limited bandwidth and short coherent processing interval, in view of pattern-coupled sparse structure of imaging targets, a two-dimensional joint sparse imaging algorithm, namely two-dimensional reweighted alternating direction method of multipliers (2D-RADMM), is proposed. The main idea of the proposed algorithm contains two aspects: one is expanding one-dimensional RADMM (1D-RADMM) to 2D-RADMM by matrix processing, so as to reduce the computation and memory usage. The other is designing different pattern-coupled modes to further improve the imaging performance. Extensive experiments based on two sets of measured data demonstrate that compared with traditional unweighted algorithms, the proposed algorithm has excellent imaging quality under noisy and sparse conditions, and its imaging time is <2  s, which can be suitable for the real-time inverse synthetic aperture radar imaging.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Xu Wei, Jun Yang, Mingjiu Lv, Wenfeng Chen, and Xiaoyan Ma "Two-dimensional reweighted alternating direction method of multipliers for inverse synthetic aperture radar imaging with pattern-coupled sparse structure," Journal of Applied Remote Sensing 15(4), 044518 (1 December 2021). https://doi.org/10.1117/1.JRS.15.044518
Received: 17 June 2021; Accepted: 19 November 2021; Published: 1 December 2021
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Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Radar imaging

Reconstruction algorithms

Signal to noise ratio

Detection and tracking algorithms

Radar

Scattering

Synthetic aperture radar

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