Optimal data fusion of correlated local decisions in multiple sensor detection systems

作者：Moshe Kam, Q. Zhu, W. Steven Gray · 发表于：IEEE Transactions on Aerospace and Electronic Systems · 年份：1992 · DOI：10.1109/7.256317 · 被引用次数：198 · 研究领域：Distributed Sensor Networks and Detection Algorithms、Target Tracking and Data Fusion in Sensor Networks、Fault Detection and Control Systems

Z. Chair and P.R. Varshney (1986) solved the data fusion problem for fixed binary local detectors with statistically independent decisions. Their solution is generalized by using the Bahadur-Lazarsfeld expansion of probability density functions. The optimal data fusion rule is developed for correlation local binary decisions, in terms of the conditional correlation coefficients of all orders. It is shown that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.>