A multiple FCMs data association based algorithm for multi-target tracking

Abstract

Multi-target tracking is a key problem in the field of multi-sensor data fusion. A novel algorithm of multip-target tracking based on multiple FCMs data association is proposed for the multi-sensor multi-target (MSMT) tracking system. The algorithm can make full use of the information embedded in the measurements of sensors, make the minimization of the variance of the measurement fusion value through a linear weighting, and with a great reduction of the tracking errors caused by the association errors. Then the flow diagram is presented. In a scenario having five sensors, and five targets, the simulation results show that the proposed algorithm has the advantages over the existing ones of simplicity and efficiency.