Human Activity Identification by Height and Doppler RCS Information Detected by MIMO Radar

Dai SASAKAWA  Naoki HONMA  Takeshi NAKAYAMA  Shoichi IIZUKA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E102-B   No.7   pp.1270-1278
Publication Date: 2019/07/01
Publicized: 2019/01/22
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018ANP0004
Type of Manuscript: Special Section PAPER (Special Section on Communication Technologies and Service Qualities in Various Access Networks)
Category: 
Keyword: 
MIMO array,  human activity identification,  human localization,  MUSIC method,  microwave sensors,  Doppler RCS,  

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Summary: 
This paper introduces a method that identifies human activity from the height and Doppler Radar Cross Section (RCS) information detected by Multiple-Input Multiple-Output (MIMO) radar. This method estimates the three-dimensional target location by applying the MUltiple SIgnal Classification (MUSIC) method to the observed MIMO channel; the Doppler RCS is calculated from the signal reflected from the target. A gesture recognition algorithm is applied to the trajectory of the temporal transition of the estimated human height and the Doppler RCS. In experiments, the proposed method achieves over 90% recognition rate (average).