Robust Human Targets Tracking for MIMO Through-Wall Radar via Multi-Algorithm Fusion
Huquan Li, Guolong Cui, Lingjiang Kong, Guohao Chen, Mingyang Wang, Shisheng Guo · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2019
The detection and tracking of human targets behind the wall is of great importance in urban sensing. The random and high maneuvering behaviors of moving human targets and the clutter diversity lead to high missed detection and false-alarm probability. In this paper, we consider two-dimensional human-target tracking problem, and a multi-algorithm fusion (MAF) framework exploiting the mean-shift algorithm and the Kalman filter is proposed. Compared with the mean-shift algorithm, the proposed MAF framework has robust tracking performance, especially in the presence of multiple targets. Finally, the proposed MAF framework is evaluated by simulations and real data.