Open AccessDual‐station radar‐based living body detection and localisation
Author(s) -
Yan Chao,
Jia Yong,
Guo Yong,
Zhong Xiaoling
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0769
Subject(s) - echo (communications protocol) , computer science , radar , matlab , constant false alarm rate , triangulation , signal (programming language) , computer vision , position (finance) , algorithm , artificial intelligence , real time computing , telecommunications , mathematics , computer network , geometry , finance , economics , programming language , operating system
In this study, a dual‐station radar signal processing algorithm based on vital signal correlation is presented to deal with the problem of detection and localisation of living body with low echo power in the multi‐target scenario. The algorithm is mainly divided into the following steps. First, a cross‐correlation operation is performed on the echo signal matrices, respectively, received by two radars at different positions to obtain the correlation matrix. Then constant false alarm rate processing is used to detect the targets and extract the distance of every target relative to the two radars. Finally, the position of the target is calculated by the triangulation algorithm to achieve the localisation of living bodies. The simulation result of MATLAB software shows that this algorithm can effectively detect and locate multiple targets with different echo intensities.