Fuzzy Binary Track Correlation Algorithms for Multisensor Information Fusion

A fuzzy binary track correlation algorithm and a fuzzy classical assignment algorithm are proposed for distributed multisensor data fusion in this paper. First, the corresponding composition of fuzzy element sets and selection of membership function are discussed. And then, dynamic assignment of weight vectors and multi-valency processing methods are designed. Finally, a fuzzy binary track correlation criterion is presented to improve accuracy. Moreover, the proposed algorithms are compared with two representational methods in classical simulations. The simulation results show that the performance of new algorithms is much better than that of traditional methods in complex scenarios. Specifically, the proposed algorithms improve the correlation accuracy in ~35% of the classical algorithms in the simulation.