Open AccessThrough‐the‐wall radar sparse imaging for building walls
Author(s) -
Jifang Zhao,
Liangnian Jin,
Qinghua Liu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0541
Subject(s) - computer science , compressed sensing , radar imaging , radar , computer vision , artificial intelligence , rank (graph theory) , exploit , remote sensing , geology , mathematics , telecommunications , combinatorics , computer security
In through‐the‐wall radar imaging, compressed sensing techniques have been applicable for small amount of observations to reconstruction walls or targets imaging in the scenes. The authors consider building walls imaging. The proposed approach exploits a low‐rank and sparse model to extract the wall returns from radar signals, and then minimises the total variation regularisation problem for reconstructing building walls imaging using the sparsity of their spatial variations. The results of simulation exhibit that the proposed approach effectively enhances the imaging quality of building walls.