摘要
模糊航迹关联算法在处理密集环境下以及机动航迹较多的滤波结果时,能够表现出比基础航迹关联算法更理想的关联效果。但当模糊因素集中因素数目较多且模糊因素权值分布相对均衡时,会使评价结果难以分辨、航迹关联效果变差。为此,研究并改进模糊综合决策航迹关联算法,通过引入模糊数学综合评判中的双层结构,提出双层结构模糊综合决策航迹关联算法。仿真结果表明,与原算法相比,改进算法可使航迹平均关联判决正确率提高2.85%。
When dealing with the filtering results under dense environment or with more motor tracks,the fuzzy track correlation algorithm can associate much better than basic algorithms.When the amount of elements in the fuzzy factor sets is bigger and the distribution of fuzzy factor weight is in relative equilibrium,it is likely to be difficult to differentiate the results of appraisement,which leads up to the track association of a sort.Thereby,this paper studies and ameliorates the fuzzy track association algorithm,and puts forward the fuzzy synthetic decision track association algorithm based on double-layer architecture,by introducing double-layer structure from the synthetic appraisement in fuzzy mathematics. Simulation result shows that,compared with the former fuzzy synthetic decision track association algorithm,this improved algorithm increases 2 .85 percent on the average correct rate of track association.
出处
《计算机工程》
CAS
CSCD
北大核心
2016年第11期225-232,共8页
Computer Engineering
关键词
模糊综合决策
模糊因素
关联准则
紧密度矩阵
双层结构
fuzzy synthetic decision
fuzzy factor
association criterion
compactness matrix
double-layer structure
