Open AccessCorrelation‐matching multipath suppression algorithm in three‐dimensional through‐wall radar imaging
Author(s) -
Lingxiao Cao,
Guolong Cui,
Yilin Song,
Shisheng Guo,
Lingjiang Kong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0546
Subject(s) - multipath propagation , multipath interference , radar , computer science , radar imaging , computer vision , algorithm , matching (statistics) , interference (communication) , image (mathematics) , artificial intelligence , telecommunications , mathematics , statistics , channel (broadcasting)
The interference of the multipath spreading among the targets and the interior walls will be introduced into the radar image. This study mainly deals with the multipath suppression problem in three‐dimensional (3D) through‐the‐wall radar imaging. The authors propose a correlation‐matching multipath suppression algorithm to eliminate the first‐order back wall multipath ghosts. Specifically, they first extract the barycentre coordinates of all objects in the original radar image. Second, a decision criterion is provided to measure the relevance between these objects. If two objects are closely related, they assert that they have multipath‐target relationship. Finally, they eliminate the multipath ghosts after all objects being determined. At the analysis stage, they assess the effectiveness of the proposed approach through simulation results, which shows its ability of well‐removing multipath ghosts.