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Track-to-track Fusion Algorithm Based on Track Quality with Multiple Model
基于多模型航迹质量的融合算法

Keywords: Multi-sensor,Track-to-track fusion,Weighted fusion,Track quality with multiple model
多传感器,航迹融合,加权融合,多模型航迹质量

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Abstract:

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.

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