OPTIMAL DATA FUSION OF CORRELATED LOCAL DECISIONS IN MULTIPLE SENSOR DETECTION SYSTEMS

被引：126
|
作者：
KAM, MS
ZHU, Q
GRAY, WS
机构：
[1] Dept of Electrical and Computer Engineering, Drexel University, Philadelphia
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 1992年 / 28卷 / 03期
关键词：
D O I：
10.1109/7.256317
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Recently, Chair and Varshney have solved the data fusion problem for fixed binary local detectors with statistically independent decisions. We generalize their solution by using the Bahadur-Lazarsfeld expansion of probability density functions. The optimal data fusion rule is developed for correlated local binary decisions, in terms of the conditional correlation coefficients of all orders. We show that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.
引用
收藏
页码：916 / 920
页数：5
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