Multi-target recognition and tracking algorithm based on millimeter wave radar

This is the authors' abstract. We don't add key points for this paper.

With the development of the Internet of Things and computers, the demand for location services continues to increase. Indoor accurate positioning technology has attracted widespread attention. Millimeter wave radar is very suitable for indoor systems because of its low cost, small size, and all-weather characteristics. This paper proposes a human body tracking and identification algorithm (MHA) based on millimeter wave radar. This algorithm has high tracking accuracy and no visual impact. On the basis of millimeter wave radar, it first makes up for the angle measurement accuracy of millimeter wave radar, add a signal processing chain position estimation module, obtain sparse point cloud data and filter it, form a time-related trajectory, and propose an algorithm for accurate target identification. Evaluation and demonstration with various algorithms in various actual environments showed that the median position error of 5 people was 10cm and the recognition accuracy was 95%.