Abstract:

A task requirement driven multi-sensor management method is proposed for airborne fire control system tracking multi-target. Firstly, the matrix trace is used to compute an information requirement of tracking tasks. Then, on the basis of analysing task priority and the cost of sensors usage, the task requirement driven multi-sensor concentrated management model is estabilished. Sensors resources are adaptively allocated  according to the requirement of tracking tasks. With regard to non-deterministic polynomial-hard question in the course of allocation, an improved ant colony algorithm is researched for finding the optimization sensors combination. The simulation results show that under ensuring tracking precision condition, the method could rationally allocate sensors resource based on the tracking task requirement. The task requirement driven multi-sensor management method could obviously reduce the working time of active sensors, which is greatly helpful for  enhancing battleplane subsistence.