一种多因素多模型选择的航迹关联算法

A Track Association Algorithm Based on Selected Multi-factor and Multi-operator

针对模糊综合判决中同一因素和合成运算模型无法适用于所有评价等级的问题,提出了一种基于多因素多模型选择的模糊综合决策航迹关联算法。该算法在多因素模糊综合决策的基础上,分析各因素的关联特性和合成运算模型在不同评价中的适用性,通过多因素定向选择和多元合成运算模型对关联隶属度进行计算,生成航迹关联结果。仿真实验表明,在密集目标环境下,该方法具有良好关联性能,平均正确关联率达到77.70%,比传统多因素模糊综合判决方法高3.86%。

In fuzzy comprehensive decision,the same factor and synthetic operator cannot be applied to all evaluation levels.In order to solve this problem,a factor and operator selected fuzzy comprehensive decision method is proposed.On the basis of multi-factor fuzzy comprehensive decision,the correlation characteristics of each factor and each synthetic operator are analyzed.Then,the membership degree is calculated by selected multi-factor and multi-operator.Finally,the track-to-track association result is generated.The experiments show that the proposed method has good performance in the extreme dense target environment.The average correct association rate of the proposed method achieves 77.70%,3.86%higher than that of the traditional multi-factor fuzzy comprehensive decision method.