航迹融合算法在多传感器融合中的应用

摘要

The track fusion is an important aspect in the multi-sensor data fusion. Because of the public noise, the track estimate errors from the different sensors are not independent in the state estimate fusion system. So the fu sion problem becomes complex. This article researched the simple fusion, adaptive track fusion and weighted covari ance fusion. The comparison of data fusion methods shows that adaptive track fusion and weighted covariance fusion is effective to multi-sensor data fusion. The simulation indicates that the algorithm has preferable fusion result.%研究寻的制导优化控制问题,针对传统单一传感器导引不能满足性能要求,提出采用多传感器复合制导.航迹融合是多传感器数据融合中一个非常重要的方面.由于公共过程噪声的原因,使在应用状态估计融合系统中,来自不同传感器的航迹估计误差未必有独立性,为了使航迹与航迹关联和融合,提出自适应航迹和协方差加权航迹融合的算法.通过仿真研究说明自适应航迹融合和协方差加权航迹融合的算法对多传感器数据融合技术有很明显的作用,数据融合效果好,为复合寻的制导优化设计提供了依据.