Open AccessImproved human respiration detection method via ultra‐wideband radar in through‐wall or other similar conditions
Author(s) -
Wu Shiyou,
Tan Kai,
Xia Zhenghuan,
Chen Jie,
Meng Shengwei,
Guangyou Fang
Publication year - 2016
Publication title -
iet radar, sonar and navigation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.489
H-Index - 82
eISSN - 1751-8792
pISSN - 1751-8784
DOI - 10.1049/iet-rsn.2015.0159
Subject(s) - clutter , radar , computer science , matlab , interference (communication) , noise (video) , artificial intelligence , telecommunications , channel (broadcasting) , image (mathematics) , operating system
In this study, a quasi‐real‐time human respiration detection method with prominent signal‐to‐noise‐and‐clutter ratio (SNCR) improvement is proposed to increase performance of ultra‐wideband rescue radar under the low SNCR conditions such as through‐wall or other similar conditions. Three main steps of the proposed method are designed for the purpose of effectively removing stationary clutter, suppressing non‐stationary interference from other moving subject and improving the contrast between respiration response and clutter. Meanwhile, the proposed method satisfies the requirement of quasi‐real time as its time cost implemented in MATLAB is only 2 s. Experiments are carried out in through‐wall/floors/artificial‐ruin conditions, and results show that the proposed method outperforms the previously proposed method, and it can be a good choice for human respiration detection in complex scenarios due to the prominent SNCR improvement.