Open AccessDetection of multi‐people micro‐motions based on range–velocity–time points
Author(s) -
Du Hao,
Jin Tian,
Li Meng,
Song Yongping,
Dai Yongpeng
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2019.2419
Subject(s) - doppler effect , radar , computer science , range (aeronautics) , doppler radar , signature (topology) , motion (physics) , artificial intelligence , computer vision , acoustics , physics , mathematics , engineering , telecommunications , aerospace engineering , geometry , astronomy
The micro‐Doppler effect is a useful signature for classifying various human behaviours. However, most micro‐Doppler researches assume that only a single moving target exists during the observation. Their works lack in separating micro‐motion features from multi‐movers. When more than one target is present, their performance will deteriorate heavily. To address this issue, the authors design a new 3D (three‐dimensional) model, range–velocity–time points, to separate and describe multi‐mover micro‐motions measured by the ultra‐wideband radar. These 3D points contain the range–velocity–time information simultaneously. By dividing points in the 3D space instead of single Doppler domain, micro‐Doppler signatures of each target can be separated effectively. Multi‐people motion simulation results verify the effectiveness of the authors' method.