DocumentCode :
1653942
Title :
Detection of Gaussian sources using dumb wireless sensors
Author :
Bianchi, Pascal ; Jakubowicz, Jérémie ; Roueff, François
Author_Institution :
Telecom ParisTech, Inst. Telecom, Paris, France
fYear :
2009
Firstpage :
697
Lastpage :
700
Abstract :
We consider the signal detection problem using a large wireless sensor networks (WSN) . In our WSN, each sensor transmits a single linear combination of the data sample it receives to a fusion center (FC). We wish to design an optimal choice of these linear precoders for the signal detection problem. The detection performance is evaluated using the error exponent approach. We provide an optimal solution in the following cases: 1) when the sensors reception is free of noise 2) when an orthogonality constraint is imposed on precoders.
Keywords :
Gaussian processes; linear codes; precoding; signal detection; wireless sensor networks; Gaussian source; WSN; dumb wireless sensor; error exponent approach; linear precoder; signal detection; wireless sensor network; Capacitive sensors; Channel capacity; Data processing; Gaussian processes; Sensor fusion; Signal design; Signal detection; Telecommunications; Testing; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
Type :
conf
DOI :
10.1109/SSP.2009.5278479
Filename :
5278479
Link To Document :
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