在多传感器融合跟踪技术方面,本文主要针对中心级融合结构下扩维kalman滤波算法计算量过大,及传感器级融合结构下融合算法精度不够高的缺陷,给出了相应的改进算法。

• In order to solve these defects, a Fast Joint Probabilistic Data Association algorithm is proposed in this paper. In the aspect of the multisensor fusion tracking technology, due to the high computational costs of the Augmented Kalman Filter algorithm in center level fusion structure, and the bad track accuracy of fusion algorithm in sensor level fusion structure, the modified methods for each fusion structure are given in this paper.