Abstract:

In the accurate tracking of multiple targets in clutter by using a collaborative network system with hierarchical and distributed information processing structure,both the measurement uncertainty and the sensor assignment to the target as well as the local fusion centers must be taken into consideration. In order to solve these problems,a dynamic sensor management method for distributed tracking is proposed. In this method,first,the criteria to evaluate the tracking performance are determined based on the solution to the modified Riccati difference equation,with which the objective function of the dynamic sensor management is constructed. Then,according to a hierarchical optimization strategy and by using the improved ant colony algorithm,an approximate optimal solution is obtained in real time. Finally,the optimal multi-target tracking trajectories are obtained by using a distributed fusion algorithm. Simulated results indicate that,as compared with the two dynamic sensor management methods,namely NN-Clustering and MV-Clustering,the proposed method is of higher multi-target tracking accuracy and higher utilization rate of network resource.

Key words: collaborative network, distributed tracking, sensor management, modified Riccati difference equation