Dynamic weighted track fusion algorithm based on track comparability degree

Weighted track fusion algorithm is a common algorithm in distributed system track fusion. How to allot the optimal weighting factors of local tracks is an issue of interest in weighted track fusion algorithm study. A dynamic weighted track fusion algorithm based on track comparability degree is proposed for track fusion in distributed multi-sensor tracking fusion system. The algorithm integrates measurement errors and performance of all sensors. Combining with track statistical distance and Fuzzy Clustering Method, track fuzzy membership comparability degree matrix at every measurement time is established. Real time and dynamic weighting factors of all local tracks in fusion center are allotted correctly, and thus the system can track the target effectively. Performance of fusion track is compared to that of each individual sensor. Simulation results show that fusion track has better tracking accuracy and demonstrate the validity of proposed algorithm.