Optimal Data Fusion in Multiple Sensor Detection Systems 论文

1986IEEE Transactions on Aerospace and Electronic Systems引用 1135
Distributed Sensor Networks and Detection AlgorithmsTarget Tracking and Data Fusion in Sensor NetworksAdvanced Statistical Process Monitoring

详细信息

发表期刊/会议
IEEE Transactions on Aerospace and Electronic Systems
发表日期
1986-01-01
发表年份
1986

关键词

Distributed Sensor Networks and Detection AlgorithmsTarget Tracking and Data Fusion in Sensor NetworksAdvanced Statistical Process Monitoring

摘要

There is an increasing interest in employing multiple sensors for surveillance and communications. Some of the motivating factors are reliability, survivability, increase in the number of targets under consideration, and increase in required coverage. Tenney and Sandell have recently treated the Bayesian detection problem with distributed sensors. They did not consider the design of data fusion algorithms. We present an optimum data fusion structure given the detectors. Individual decisions are weighted according to the reliability of the detector and then a threshold comparison is performed to obtain the global decision.