Title :
Near-Shannon/Slepian-Wolf performance for unknown correlated sources over AWGN channels
Author :
Garcia-Frias, Javier ; Zhao, Ying
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
fDate :
4/1/2005 12:00:00 AM
Abstract :
We consider the problem of joint source-channel coding of two correlated binary information sequences. Instead of compressing the information using source coding, both sequences are independently channel encoded and transmitted over two independent additive white Gaussian noise channels. No information about the correlation between the sources is required in the encoding process. The correlation between both sequences is exploited at the receiver, allowing reliable communications at signal-to-noise ratios very close to the theoretical limits established by the combination of Shannon and Slepian-Wolf theorems. This occurs even when the correlation between sources is not known at the decoder, since it can be estimated jointly with the iterative decoding process.
Keywords :
AWGN channels; combined source-channel coding; iterative decoding; turbo codes; AWGN channel; Shannon theorem; Slepian-Wolf theorem; additive white Gaussian noise; correlated binary information sequence; iterative decoding; joint source-channel coding; signal-to-noise ratio; source coding; AWGN channels; Additive white noise; Channel coding; Collaborative work; Gaussian noise; Government; Iterative decoding; Reliability theory; Source coding; Turbo codes; Additive white Gaussian noise (AWGN) channels; correlated sources; iterative decoding; joint source-channel coding; turbo codes;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2005.844959