基于H_∞滤波的变权多通道数据融合方法研究  

Multi-channel Data Fusion with Changing Weight Based on H_∞ Filter

作　　者：杨晓东[1] 刘哲中[2] 

机构地区：[1]海军潜艇学院,青岛266071 [2]天津航海仪器研究所,天津300131

出　　处：《中国惯性技术学报》2005年第3期43-46,共4页Journal of Chinese Inertial Technology

摘　　要：在对多通道定位数据进行数据融合中,采用H∞滤波可有效地解决各传感器数据误差模型不确定的滤波和状态估计问题。但由于数据采样时刻及精度的不一致性,对于多通道数据的融合应采用变权融合方式,以提高融合后数据的可靠性。该文由此给出了一种基于H∞滤波的变权数据融合计算方法,通过对实测实时数据的仿真计算表明,其方法具有很好的实用性。It is an effective method to use H∞ filter getting state estimate for multi-sensor in case of uncertainty of error model in data fusion. The usage of changing rights in data fusion in aid of modifying sampling time and precision could improve the reliability of data fusion. The article gives a data fusion method of changing weights based on H∞ filter. It indicates that the method is valuable in practice by means of real-time processing data.

关 键 词：数据融合 鲁棒性 卡尔曼滤波 状态估计 

分 类 号：TN713[电子电信—电路与系统]