Abstract:

Making use of terrain dispersed multisensor systems to tracking targets is a main combat manner of network targeting. According to the network targeting combat character, two kinds of distributed track fusion structures are established. Then, the sensor measurement noises correlation in network targeting is analyzed. The noise correlation and noise uncorrelation optimal distributed track fusion methods are proposed. The result of theoretical analysis shows that these proposed methods are equivalent to the multisensor centralized fusion algorithm. Simulation results show that these methods could effectively eliminate fusion performance descending caused by the noise correlation, and enhance positioning accuracy of targets in the network targeting.