Abstract:

To deal with the problem of multi-sensor tracking multi-target in a cluttered environment, a novel multi-sensor fuzzy data association method based on velocity and azimuth (VA-MSFDA) is proposed. Firstly, the validated measurements are selected based on course and velocity information, and some false measurements are eliminated. Then the association probabilities between candidate measurements and targets are calculated on the basis of fuzzy clustering. Finally, the selected target’s measurements from different sensors are dealt with on the basis of sequential multi-sensor joint probabilistic data association (MSJPDA) algorithm, and the target’s estimation is obtained. Simulation results show that VA-MSFDA outperforms the sequential MSJPDA algorithm in the aspects of time consumption, tracking accuracy, convergence rate and correct association probability, which can be considered as a better method to solve the multitarget tracki-ng problem.