Abstract:

Data association technology is the key part in multi-sensor target tracking system. For the lack of priori knowledge of tracking environment and the restriction of sensor’s performance, the introduced error is unavoidable during measuring process, and the tracking is difficult. Aiming at the problem, a new algorithm based on the probability data association method combining with evidence theory is used to make association under dense clutter environment. After optimization of multi-sensor information, the influence from measure error is lowered, and it can be seen from the simulation result that the improved algorithm greatly advances tracking accuracy and owns favorable anti-jamming ability which is suitable for engineering works.