Radar micro-Doppler parameter estimation of human motion using particle filters

Human activity monitoring and tracking around restricted areas is a very crucial issue in surveillance applications. The specific motion of different parts of the human body generates unique micro-Doppler features which can be extracted effectively using joint time-frequency analysis. In this paper, we describe the simultaneous tracking of both location and radar micro-Doppler signatures of a human target using particle filtering (PF). The results obtained using the data from a specifically developed radar for these kind of applications operating at 77 GHz frequency, prove the successful usage of particle filters in tracking micro-Doppler features of the human gait.