Tandem distributed detection with conditionally dependent observations

Pengfei Yang, Biao Chen, Hao Chen, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper deals with distributed detection using a tandem network with conditionally dependent observations. Our approach utilizes a recently proposed hierarchical conditional independence model where a hidden variable is introduced and induces conditional independence among sensor observations. If the hidden variable is discrete, optimal local decision rules are reminiscent that of the conditional independence case. For continuous scalar hidden variable, similar results can be obtained when additional monotonicity conditions are imposed.

Original languageEnglish (US)
Title of host publication15th International Conference on Information Fusion, FUSION 2012
Pages1808-1813
Number of pages6
StatePublished - 2012
Event15th International Conference on Information Fusion, FUSION 2012 - Singapore, Singapore
Duration: Sep 7 2012Sep 12 2012

Other

Other15th International Conference on Information Fusion, FUSION 2012
CountrySingapore
CitySingapore
Period9/7/129/12/12

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ASJC Scopus subject areas

  • Information Systems

Cite this

Yang, P., Chen, B., Chen, H., & Varshney, P. K. (2012). Tandem distributed detection with conditionally dependent observations. In 15th International Conference on Information Fusion, FUSION 2012 (pp. 1808-1813). [6290522]