一种基于证据决策的航迹相关算法

A Track Correlation Algorithm Based on D-S Theory

摘要: 基于证据决策的思想,对传统的最近领域法(NN)及K近领域法(K-NN)进行改造,设计新的航迹相关判决准则,提出一种新的分布式多传感器航迹关联算法(EK-NN).通过仿真试验分析,并与最近领域法(NN)及K近领域法(K-NN)进行比较.结果表明,在密集目标环境下,基于证据决策的(EK-NN)航迹关联算法明显优于最近领域法(NN),较K近领域法(K-NN)也有一定的改进.

Abstract: Based on D-S theory,the paper gives a new distributed multi-sensor track correlation algorithm(EK-NN) with a new criterion of track correlation,which improves the classical nearest neighbor(NN) and K-nearest neighbor(K-NN) methods.It is then compared with the two classical methods through simulation.The results showed that the performance of the EK-NN algorithm is better than the NN and K-NN algorithms in dense target environments.