Open AccessCompressive sensing approach for high‐resolution ISAR image reconstruction and autofocus
Author(s) -
Kang MinSeok,
Kim KyungTae
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0572
Subject(s) - autofocus , inverse synthetic aperture radar , compressed sensing , computer science , computer vision , artificial intelligence , iterative reconstruction , radar imaging , radar , optics , physics , focus (optics) , telecommunications
In this study, a novel autofocus method is presented to achieve high‐resolution inverse synthetic aperture radar (ISAR) image reconstruction with limited measurements in the compressive sensing (CS) framework. In order to solve the CS reconstruction problem of ISAR images with sparsity, the CS coupled with Tikhonov‐regularisation‐based algorithm is devised as an effective focusing technique. The proposed method aims at compensating the phase errors induced by target motions, and can provide globally well‐focused ISAR images. Simulation and experimental results verify the effectiveness of the proposed scheme.