小波分析在多传感器多目标跟踪的航迹相关算法中的应用

Application of Wavelet Analysis to the Track-Association Algorithm Based on Multi-Sensor and Multi-Target Tracking

在多传感器多目标融合跟踪系统中,航迹关联是对目标进行连续跟踪最重要的关键技术。在融合中心,对多传感器获得的目标航迹数据进行航迹关联处理,判断哪些航迹数据源于同一个目标。利用小波分析的方法提取航迹信号的趋势项信息,再结合传统的航迹关联处理方法对这些趋势信号进行关联判决。仿真实验表明这种方法是可行的。

In a multi - sensor multi - target fusion and tracking system, track - correlation is a key technique in the procedure of continuous target - tracking. In parts of merging center, in order to judge which tracks observed by many sensors are coming from a same target, we often process the method of track - correlation. In this paper wavelet analysis is performed to extract the moving tendency of these track information. By combining the traditional track - correlation algorithm, we can do with the information of moving tendency and ultimately define the definite tracks of different targets. The simulation results show this new algorithm is feasible.