基于多模型航迹质量的融合算法

Track-to-track Fusion Algorithm Based on Track Quality with Multiple Model

如何确定最优加权因子是加权航迹融合算法中一个值得深入研究的问题。通过提出多模型航迹质量(TrackQuality with Multiple Model,TQMM)的概念,并给出一种带信息反馈的加权航迹融合算法,来解决多传感器跟踪同一目标时的权值最优分配问题。系统引入反馈机制,利用多模型航迹质量确定权值,能够精确地更新权值,从而实时有效地进行目标跟踪。仿真结果表明,与已有的加权融合算法相比,该算法具有更好的跟踪性能,特别是在融合系统传感器观测精度相差较大的情况下,算法的跟踪效果更为突出;并且,随着传感器数目的增加,系统的跟踪精度逐步提高,但当传感器增加到一定数目时,系统的融合精度并没有得到明显的改善。

How to determine the optimal weighting factor is a problem that is worth of further study in the weighted track-to-track fusion. The concept of track quality with multiple model（TQMM） was put forward, and a weighted track- to-track fusion algorithm with feedback was presented to solve the problem of the optimal allocation of weights when multi-sensor tracks the same target. The feedback mechanism was introduced into fusion system, and the weights were determined using TQMM, so that the fusion system can update the weights accurately, and track the target effectively in real time. Experimental results show that the algorithm has a better tracking performance compared with the existing weighted fusion algorithm, especially in the fusion system in which the measurement accuracy of sensors has a large difference. With the increase of the number of sensors, tracking precision of the fusion system is improved gradually. However, when sensor is increased to a certain number, fusion accuracy has no longer a significant improvement.