DocumentCode :
3252381
Title :
On optimal fusion architecture for a two-sensor tandem distributed detection system
Author :
Akofor, Earnest ; Biao Chen
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
129
Lastpage :
132
Abstract :
The paper revisits the classical problem of determining the optimal communication direction in a two-sensor fusion system. For the problem of signal detection in additive Gaussian noises, the paper attempts to reconcile the difference in existing literature about which sensor ought to serve as the fusion center for optimal detection performance. While there has been no general conclusion as to which direction is preferred for general detection problems, we establish that for the aforementioned Gaussian problem, having the better sensor, i.e., the sensor with higher signal to noise power ratio, serving as the fusion center is preferred for better detection performance. This is true for the cases of both deterministic signal detection and the Gaussian random signal detection.
Keywords :
Gaussian noise; optimisation; sensor fusion; signal detection; Gaussian random signal detection; additive Gaussian noises; detection performance; deterministic signal detection; fusion center; optimal communication direction determination; optimal fusion architecture; signal-to-noise power ratio; two-sensor fusion system; two-sensor tandem distributed detection system; Additives; Bayes methods; Computer architecture; Gaussian noise; Signal detection; Signal to noise ratio; Bayesian decision; Distributed detection; communication direction; dependent observations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736832
Filename :
6736832
Link To Document :
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