Multi-target Tracking Algorithm Based on Super-precision Distance Estimation Method

Radar-based indoor trajectory tracking technology has attracted considerable attention, yet facing range resolution and target loss challenges. This paper, based on Infineon BGT60TR13C platform, proposes a novel distance measurement method based on the multiple signal classification (MUSIC) algorithm, combined with an improved Hungarian algorithm and Kalman filter to optimize trajectory information. With dualreceive antennas and a 1.6 GHz bandwidth, this method effectively distinguishes human targets 8 centimeters apart and accurately track their trajectories. The experimental results highlight its excellence in multi-person scenarios, significantly reducing costs and computational complexity, and offering new possibilities for smart home and security monitoring applications.