New results on distributed detection with dependent observations

Ge Xu, Hao Chen, Biao Chen

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

1 Scopus citations

Abstract

Without the conditional independence assumption, the problem of distributed detection becomes intractable in general. A promising approach for this problem was proposed recently that utilizes a hierarchical conditional independence model. By inserting a hidden variable in the detection hierarchy that induces conditional independence among sensor observations, it is possible to identify certain conditions under which the detection problems become tractable. This paper generalizes the conditions thereby broadening the classes of distributed detection problems with dependent observations that can be readily solved. An example of distributed detection of a random signal is given to show that the proposed generalization can solve problems that were not possible using the original approach.

Original languageEnglish (US)
Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
Pages3899-3904
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
Duration: Dec 3 2012Dec 7 2012

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2012 IEEE Global Communications Conference, GLOBECOM 2012
CountryUnited States
CityAnaheim, CA
Period12/3/1212/7/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Xu, G., Chen, H., & Chen, B. (2012). New results on distributed detection with dependent observations. In 2012 IEEE Global Communications Conference, GLOBECOM 2012 (pp. 3899-3904). [6503725] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2012.6503725