Decentralized detection in a bandwidth constrained sensor network

Jin Jun Xiao, Zhi-Quan Luo

Research output: Contribution to conferencePaperpeer-review

6 Scopus citations


Consider the problem of decentralized detection with a distributed sensor network where the communication channels between sensors and the fusion center are bandlimited. Previous approaches to this problem typically rely on quantization of either the sensor observations, or the local likelihood ratios, with quantization levels optimally designed using the knowledge of noise distribution. In this paper, we assume that each sensor is restricted to send a 1-bit message to the fusion center, and that the sensor noises are additive, zero mean, spatially independent, but otherwise unknown and with possibly different distributions across sensors. We construct a universal decentralized detector using a recently proposed isotropic decentralized estimation scheme ([10], [11]) which requires only the knowledge of either the noise range or its second order moment. We show that the error probability of this detector decays exponentially at a rate which is optimal for bounded range noise, and for noise with unbounded range, is lower bounded in terms of the signal to noise ratio.

Original languageEnglish (US)
Number of pages6
StatePublished - Dec 1 2004
EventGLOBECOM'04 - IEEE Global Telecommunications Conference - Dallas, TX, United States
Duration: Nov 29 2004Dec 3 2004


OtherGLOBECOM'04 - IEEE Global Telecommunications Conference
Country/TerritoryUnited States
CityDallas, TX


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