Performance Analysis on Association Algorithms of Heterogeneous Sensors

Abstract

Statistical theory and fuzzy analyses are two primary methods in heterogeneous sensors association algorithms. Firstly, absolute-double-threshold rules were used to analyze the algorithms performance of heterogeneous sensors in this paper. Then, both of these two algorithms ware simulated on computer, which based on large data samples. The simulation results show that both of these two track association algorithms has high probability of correct association, but the algorithm based on statistical theory has faster convergent speed and litter samples, while the other is simple, and has less calculation.