Summary form only given. Detection with distributed sensors and data fusion is considered. The distributed detection problem is formulated from an information theoretic standpoint. First, the fully distributed system, for which local decisions are desired is treated. Optimum decision rules at the individual detectors that minimize equivocation are obtained. The case where local decisions are fed to a data fusion center and a global decision is desired is then examined. An optimum fusion rule, which minimizes the information loss, is derived.
|Original language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Publisher||IEEE Computer Society|
|Number of pages||1|
|State||Published - 1986|
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