Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window
LI Yang;ZHANG Jing;China Academy of Electronics and Information Technology;
The combination and divergence of multi-target tracks are very common in the engineering practice,which make it more difficult for the track fusion. In this paper,a novel track fusion method with an adaptive sliding mean windowis proposed. Meanwhile,the adaptive associated matrix of proposed method is also given here. The proposed method could adaptively measure the effect of history track on the current track for the multi-target,thus judge the track combination and divergence,effectively and accurately. Furthermore,the simulations are performed with two sensors and two targets,have also shown that the proposed method is valid and stable for the track fusion,especially to the track combination and divergence.
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