航迹关联算法仿真中的几个假定

Preconditions Assumed in Simulation Analyses of Track Correlation Algorithms

航迹关联是多传感器信息融合的前提和基础,来自不同传感器的航迹数据只有在确定相互关联之后,才能进行目标运动状态信息和属性信息的融合处理。航迹关联仿真分析时往往人为地设定一些假定条件,导致算法的仿真结果出现比较大的偏差。对航迹关联算法仿真分析中的一些常见假定进行分析,结合实际应用情景,探讨航迹关联率的定义,明确了关联正确率、关联错误率和漏关联率的计算方法。

Track correlation forms the prerequisite and foundation for multi-sensor integration. The kinematic information and attribute information of two tracks from different sensors can be fused only after the determination that one sensor track represents the same object as another sensor track. Many preconditions are usually assumed to carry out simulation analyses at matlab environment to evaluate the performance of track correlation algorithms,and these simulation results usually are satisfied, generating high correct correlation rate. This paper analyses the preconditions used in track correlation simulation. Based on realistic applications,correlation rate definition is discussed,methods is developed to calculate correlation correct rate,error rate,and missed correlation rate.