Decentralized detection over multiple-access channels

Tolga M. Duman; Masoud Salehi

doi:10.1109/7.670328

Decentralized detection over multiple-access channels

Tolga M. Duman, Masoud Salehi

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

We study the decentralized detection problem in a general framework where arbitrary number of quantization levels at the local sensors are allowed, and transmission from the sensors to the fusion center is subject to both noise and interchannel interference. We treat wth Bayesian and Neyman-Pearson approaches to the problem, and develop an iterative descent algorithm to design the optimal quantizers and fusion rule. Some numerical examples for both approaches are also presented.

Original language	English (US)
Pages (from-to)	469-476
Number of pages	8
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	34
Issue number	2
DOIs	https://doi.org/10.1109/7.670328
State	Published - 1998
Externally published	Yes

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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10.1109/7.670328

Cite this

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abstract = "We study the decentralized detection problem in a general framework where arbitrary number of quantization levels at the local sensors are allowed, and transmission from the sensors to the fusion center is subject to both noise and interchannel interference. We treat wth Bayesian and Neyman-Pearson approaches to the problem, and develop an iterative descent algorithm to design the optimal quantizers and fusion rule. Some numerical examples for both approaches are also presented.",

author = "Duman, {Tolga M.} and Masoud Salehi",

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AB - We study the decentralized detection problem in a general framework where arbitrary number of quantization levels at the local sensors are allowed, and transmission from the sensors to the fusion center is subject to both noise and interchannel interference. We treat wth Bayesian and Neyman-Pearson approaches to the problem, and develop an iterative descent algorithm to design the optimal quantizers and fusion rule. Some numerical examples for both approaches are also presented.

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Decentralized detection over multiple-access channels

Abstract

ASJC Scopus subject areas

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