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Human Activity Identification by Height and Doppler RCS Information Detected by MIMO Radar
Dai SASAKAWA Naoki HONMA Takeshi NAKAYAMA Shoichi IIZUKA
IEICE TRANSACTIONS on Communications
Publication Date: 2019/07/01
Online ISSN: 1745-1345
Type of Manuscript: Special Section PAPER (Special Section on Communication Technologies and Service Qualities in Various Access Networks)
MIMO array, human activity identification, human localization, MUSIC method, microwave sensors, Doppler RCS,
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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).