相关观测资料的最佳线性数据融合  

Optimum linear data fusion for dependent observation data

作　　者：李启虎[1] 

机构地区：[1]中国科学院声学研究所,北京100080

出　　处：《声学学报》2001年第5期385-388,共4页Acta Acustica

摘　　要：数据融合是声呐信号处理中非常引人注意的一个课题．本文讨论多传感器（或多基阵）系统决策级的数据融合问题，给出对同一个参数Ｎ个互相相关的观测资料的最佳线性数据融合算法．证明了，最佳线性数据融合的误差不大于任何一个分量的观测误差，同时给出计算误差的表达式，最后给出了数值计算的例子．Data fusion is one of the attractive topic in sonar signal processing. Decision level data fusion of Multi- sensor (multi-array) system is described in this paper. Follow the discussion in literature[1], the optimum linear data fusion algorithm for N dependent observations is derived. it is proved that the estimation error of data fusion is not greater than that of individual components. The expression of estimation error and weight coefficients are presented. The results of numerical calculation and some examples are illustrated. The effect of dependence of observation data for the final estimation error is presented.

关 键 词：数据融合 声呐信号处理 多传感器 相关观测资料 误差分析 最小二乘法 

分 类 号：TN929.3[电子电信—通信与信息系统]