摘要
本文主要研究一种应用于武器装备试验实时数据融合处理算法,核心是探讨通过动态修正加权因子改变实时数据融合效果,获得最优的目标状态估计的方法。
Range weighted data fusion algorithm in data processing has been widely used,which determine the weighted value of the real-time measurement data fusion is particularly critical.This paper presents a dynamic adaptive weighting factor to adjust the data fusion algorithm can effectively improve the real-time measurement of data fusion and reduce the estimation error.
出处
《电子测试》
2014年第S2期186-187,177,共3页
Electronic Test
关键词
目标状态
最优估计
融合效果
Estimation error
weighting factor
fusion algorithm
