DocumentCode :
3414483
Title :
Optimal strategies for distributed detection over multiaccess channels
Author :
Li, Feng ; Evans, Jamie S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
2417
Lastpage :
2420
Abstract :
In this paper, we consider the problem of distributed detection with binary sensors over a noisy multiaccess channel. Under the assumption of conditionally independent sensor observations, we investigate the optimal decision regions at the fusion centre. For a special case, it is shown that the optimal fusion rule can be reduced to a simple threshold test on the signal received by the fusion centre. We will demonstrate that the traditional amplitude-scaling approach to satisfy the power constraint is suboptimal. With a given power budget, a solution featuring in the joint optimization of the local mapping rule and the fusion rule is proposed and is shown to lead to a gain in performance.
Keywords :
maximum likelihood detection; multi-access systems; sensor fusion; binary sensors; distributed detection; energy conservation; maximum likelihood detection; multiaccess channels; multiaccess communication; multisensor systems; optimal fusion rule; Constraint optimization; Energy conservation; Intelligent sensors; Maximum likelihood detection; Multiaccess communication; Multisensor systems; Performance gain; Sensor fusion; Sensor systems; Testing; Distributed detection; energy conservation; maximum likelihood detection; multiaccess communication; multisensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518135
Filename :
4518135
Link To Document :
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