Research on Adaptive Target Tracking Method Based on Millimeter Wave Radar

This paper introduces a target-tracking algorithm based on the millimeter-wave radar, to detect the number and positions of the indoor individuals. The proposed algorithm combines the traditional DBSCAN clustering algorithm and GMM clustering algorithm, which can adapt to the closely-distributed targets situation, with better clustering capability. Through experiments, the point cloud data obtained by the millimeter wave radar has been processed to identify the target with the proposed algorithm. Compared with the traditional DBSCAN algorithm and the GMM algorithm, the recognition result of the fusion algorithm has better robustness and can distinguish effective point from the clouds and clutter, to further accurately locate the indoor target.