A Fuzzy Fusion in Multitarget Tracking with Multisensor
Xiaohui Chen, Yang Zhang · 2007
In the system of the multi-sensors multi- targets tracking, the data received from sensor measurements may be imprecise, incomplete and ambiguous because of the noise, which may cause the incorrect correlation. Here, according to the position error, velocity error and acceleration error between true value and estimation of the moving targets, a fuzzy track to track fusion algorithm for the multi-sensor multi-target tracking was proposed based on the fuzzy inference. The algorithm were tested by the real data from the different sonar sensor measurements. The results show that the approaches are good and valid, and well for the distributed multi-sensor multi-target tracking. The accuracy of tracking in clutter is high.