Enabling distributed detection with dependent sensors

Brian Proulx, Junshan Zhang, Douglas Cochran

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

Abstract

Computational issues affecting the feasibility of optimal distributed detection with correlated measurements are well recognized. We propose utilizing the t-cherry junction tree, an approach based on probabilistic graphical models, to approximate the joint distribution of the correlated measurements. In principle, this approach provides a sequence of progressively more efficiently represented approximations that enable tradeoff between fidelity and compactness. Practically, however, the impact of generating estimated distributions from training data can be significant as the number of parameters to estimate in a distribution grows exponentially with the number of random variables in the distribution. This limitation is quantified and the performance of this approach is illustrated via simulation studies.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1199-1203
Number of pages5
Volume2015-April
ISBN (Print)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Other

Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/2/1411/5/14

Fingerprint

Sensors
Random variables

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Proulx, B., Zhang, J., & Cochran, D. (2015). Enabling distributed detection with dependent sensors. In Conference Record - Asilomar Conference on Signals, Systems and Computers (Vol. 2015-April, pp. 1199-1203). [7094648] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094648

Enabling distributed detection with dependent sensors. / Proulx, Brian; Zhang, Junshan; Cochran, Douglas.

Conference Record - Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April IEEE Computer Society, 2015. p. 1199-1203 7094648.

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

Proulx, B, Zhang, J & Cochran, D 2015, Enabling distributed detection with dependent sensors. in Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 2015-April, 7094648, IEEE Computer Society, pp. 1199-1203, 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/2/14. https://doi.org/10.1109/ACSSC.2014.7094648
Proulx B, Zhang J, Cochran D. Enabling distributed detection with dependent sensors. In Conference Record - Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April. IEEE Computer Society. 2015. p. 1199-1203. 7094648 https://doi.org/10.1109/ACSSC.2014.7094648
Proulx, Brian ; Zhang, Junshan ; Cochran, Douglas. / Enabling distributed detection with dependent sensors. Conference Record - Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April IEEE Computer Society, 2015. pp. 1199-1203
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