Open AccessEMD‐based adaptive stationary human imaging for TD‐MIMO through‐wall radar
Author(s) -
Lingxiao Cao,
Guolong Cui,
Shisheng Guo,
Mingyang Wang,
Guohao Chen,
Ruixin Liu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0477
Subject(s) - hilbert–huang transform , computer science , radar , division (mathematics) , artificial intelligence , mimo , computer vision , remote sensing , telecommunications , mathematics , geology , channel (broadcasting) , arithmetic , filter (signal processing)
This study develop an adaptive stationary target imaging technique based on the empirical mode decomposition (EMD) method for the time‐division multiple‐input multiple‐output through‐wall radar. By exploiting the discrimination between the respiratory rate and the environmental clutters' frequency, the weak echoes of the stationary target are enhanced via EMD processing adaptively. Based on the simulations as well as the experimental data, the authors verify that the stationary target can be positioned accurately via their proposed method.