Evaluation of filtering technique for human activity identification using MIMO radar

In this paper, we evaluate the correction filter for human activity identification using Multiple-Input Multiple-Output (MIMO) radar. The human activity is estimated by the trajectory of the estimated height and Radar Cross Section (RCS). We confirm that the filtering technique is effective in increasing the identification rate of the human activity, and the highest recognition rate is over 90%.