Decentralized detection over multiple-access channels

Author

Duman, Tolga M. ; Salehi, Masoud

Author_Institution

Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

Volume

34

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

469

Lastpage

476

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 both 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

Keywords

Bayes methods; adjacent channel interference; channel coding; iterative methods; minimisation; quantisation (signal); radar detection; sensor fusion; signal detection; Bayesian approach; Neyman-Pearson approach; algorithm complexity; arbitrary number of quantization levels; decentralized detection problem; decision rule; encoders; expected cost minimization; fusion rule; interchannel interference; iterative descent algorithm; multiple-access channels; noise interference; optimal quantizers; signal detection; unconstrained optimization; Bayesian methods; Communication channels; Detectors; Interchannel interference; Iterative algorithms; Noise level; Quantization; Radar detection; Radar remote sensing; Sensor fusion;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.670328

Filename

670328