Experimental Design of Indoor Personnel Positioning and Tracking Based on Millimeter Wave Radar
In order to help students deeply understand the theoretical knowledge of signal detection and estimation in radar sensors and master the realization process of indoor personnel positioning and tracking,an experiment of indoor personnel positioning and tracking based on millimeter wave radar is designed in combination with the theoretical courses of signal detection and estimation.Firstly,60 GHz millimeter wave radar is used to collect human motion data,and after data preprocessing,multi-dimensional fast Fourier transform FFT algorithm is used to construct range-Doppler spectrum diagram,and then the two-dimensional mean constant false alarm rate CA-CFAR detection algorithm is combined to obtain the range-velocity information of human motion.Then the multi-signal classification MUSIC algorithm is used to estimate the azimuth of the human body,and finally the extended Kalman filter algorithm is used to estimate the motion state of the human body to achieve target tracking.The experimental results show that the average processing time of each frame in multi-person location and tracking is 33.2 ms,and the error of the actual motion path is 0.275 m,which shows good real-time and accuracy.
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