Uniformly Most Powerful Distributed Detection and its Application in Cooperative Spectrum Sensing

Authors

Hao Chen, Boise State UniversityFollow
Uri Rogers, Boise State University

Document Type

Conference Proceeding

Publication Date

11-6-2011

DOI

http://dx.doi.org/10.1109/ACSSC.2011.6190304

Abstract

In this paper, a special class of distributed composite binary hypothesis testing problem with monotonic likelihood ratio is investigated. The sensor observations are assumed to be conditionally independent given a fixed but unknown parameter θ where θ ∈ Θ₁ under the H₁ hypothesis and θ = θ₀ under the H₀ hypothesis. The optimal form of sensor decision rule is established under both the Neyman-Pearson and Bayesian criteria. As an illustrative example, the design of an optimal cognitive radio rule for cooperative spectrum sensing is established.

Publication Information

Chen, Hao and Rogers, Uri. (2011). "Uniformly Most Powerful Distributed Detection and its Application in Cooperative Spectrum Sensing". 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 1674-1676.