Clustering based multi-target tracking of radar network in clutter

Multi-sensor multi-target tracking is a paradigm of information fusion technique dealing with target tracking problems.Data association is one key aspect.To improve multi-target tracking of a radar network in cluttered environment,a data association algorithm was proposed which includes two parts: coarse and precision correlation.First,some interference was eliminated during coarse correlation based on the gate algorithm;then the remaining measurements were fuzzy clustered using FCM(Fuzzy C-Means) algorithm.This was done by decomposing the multi-sensor multi-target problem into data association problems of several single sensor multi-targets.Finally,a state estimation of targets was gained after measure-to-measure fusion.Monte-Carlo simulation results show the proposed algorithm is better than previous modified algorithms and NN algorithms for data association in clutter.