Analysis and Improvement of Track Association Algorithm with Fuzzy Synthetic Decision
摘要
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.