Paper Info
Title
Utilization of multi-dimensional source correlation in multi-dimensional single parity check codes
Abstract
This paper proposes a joint source-channel coding (JSCC) technique that well utilizes multi-dimensional (MD) source correlation using MD single parity check codes (MD-SPCCs). The source is assumed to be described by the coupling of multiple first-order binary Markov processes. The knowledge about the source correlation is utilized in the channel decoding process where each component decoder utilizes a single dimension correlation of the MD source. To enhance performance and reduce the error floor, a rate-1 recursive systematic convolutional code is serially concatenated to the MD-SPCC via a random interleaver. Two decoding techniques are proposed for each component decoder, and the selection of the decoding technique depends on the strength of the source correlation, which may further enhance the performance of the proposed JSCC technique. Simulation results reveal that a significant performance gain can be achieved by exploiting the MD source correlation with the proposed JSCC technique compared with the case in which the source correlation is not utilized; more significant gains can be achieved with stronger source correlation, and with a larger dimensionality source correlation as well.
Year
DOI
Venue
2016
https://doi.org/10.1007/s11235-015-0107-5
Telecommunication Systems
Keywords
Field
DocType
Joint source-channel coding,Single parity check codes,Multi-dimensional source correlation,Turbo coding
Markov process,Convolutional code,Computer science,Turbo code,Coding (social sciences),Curse of dimensionality,Real-time computing,Concatenation,Decoding methods,Binary number
Journal
Volume
Issue
ISSN
62
4
1018-4864
Citations 
PageRank 
References 
0
0.34
18
Authors
3
Name
Order
Citations
PageRank
Mohd Azri Mohd Izhar1163.91
Xiaobo Zhou282769.95
tad matsumoto3135.50