Conference proceeding
On Distributed Detection with Correlated Local Detectors
1991 American Control Conference, v 3, pp 2174-2175
Jun 1991
Abstract
Recently, Chair and Varshney have solved the data fusion problem for n fixed binary local detectors with statistically independent decisions. We generalize their solution by using the Bahadur-Lazarfeld 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 order 1, 2, ..., n. We show that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.
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Details
- Title
- On Distributed Detection with Correlated Local Detectors
- Creators
- Moshe Kam - Drexel UniversityQiang Zhu - Drexel UniversityW. Steven Gray - Drexel University
- Publication Details
- 1991 American Control Conference, v 3, pp 2174-2175
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Scopus ID
- 2-s2.0-0026370758
- Other Identifier
- 991019346795904721