Optimal design of distributed signal detection systems

Author

Wang, Xiao-Gang ; Qian, Wen-Han ; Lin, Cai-Xin

Author_Institution

Coll. of Mech. Eng. & Autom., Shanghai Univ., China

fYear

1996

fDate

8-11 Dec 1996

Firstpage

719

Lastpage

725

Abstract

A distributed signal detection problem is considered in such a manner that a number of local detectors transmit their individual decisions, based on their own observations, to a global decision maker (data fusion center), which combine the local (preliminary) decisions to make the final decision. A DBT formulation of the binary DDF problem is described and the necessary conditions for the person-by-person optimal decision rule of overall system (local detectors) are derived. The special case of identical detectors with independent observation is investigated with an illustrative example

Keywords

Bayes methods; decision theory; distributed processing; optimisation; probability; sensor fusion; signal detection; Bayes method; binary distributed date fusion; data fusion center; distributed signal detection systems; global decision maker; optimisation; person-by-person optimal decision rule; probability; Bayesian methods; Delta modulation; Detectors; Educational institutions; Mechanical engineering; Robotics and automation; Sensor fusion; Signal design; Signal detection; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3700-X

Type

conf

DOI

10.1109/MFI.1996.572308

Filename

572308