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.
出处
《声学学报》
EI
CSCD
北大核心
2001年第5期385-388,共4页
Acta Acustica
