DocumentCode
2769805
Title
Combining data fusion with joint source-channel coding of correlated sensors
Author
Zhong, Wei ; Garcia-Frias, Javier
Author_Institution
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
fYear
2004
fDate
24-29 Oct. 2004
Firstpage
315
Lastpage
317
Abstract
We consider a source sensed by several correlated sensors. Each one of the sensors receives a noisy version of the source, performs channel coding, and transmits this information through an independent noisy channel to a central processing unit. The processing unit fuses all the received sequences with the objective of obtaining the best possible estimate of the source of interest. This is performed by utilizing at the decoder a graphical model that jointly describes the channel decoders for each sensor and the probabilistic dependence between the source and the sensors.
Keywords
combined source-channel coding; decoding; sensor fusion; sequences; wireless sensor networks; central processing unit; channel decoders; correlated sensors; data fusion; graphical model; independent noisy channel; joint source-channel coding; probabilistic dependence; received sequences; Additive white noise; Central Processing Unit; Channel coding; Collaborative work; Decoding; Gaussian noise; Graphical models; Sensor fusion; Sensor phenomena and characterization; US Government;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2004. IEEE
Print_ISBN
0-7803-8720-1
Type
conf
DOI
10.1109/ITW.2004.1405321
Filename
1405321
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