Efficient joint source-channel decoding of multi-state Markov sequences

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In this study, joint source-channel decoding for non-binary source samples is conducted. The non-binary source samples can be modelled as the output of a multi-state Markov chain (MC). As the source samples are directly transmitted after channel coding without source compression, the transmitted signals can be highly correlated. At the receiver, the multi-state MC module can be designed to exploit the statistical correlation of source samples to improve the error correcting performance. However, as the number of states is increased, the multi-state MC module requires high computational complexity. To alleviate this problem, a simplified MC module is proposed. In the simplified MC module, the multi-state MC is replaced with multiple number of two-state MCs each of which exploits bit-level correlation of samples. Simulation results demonstrate that the simplified MC module can lead to competitive reduction in the required signal-to-noise ratio in comparison with the multi-state MC module with reduced computational complexity.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2012-06
Language
English
Article Type
Article
Keywords

TURBO-CODES; MATHEMATICAL-THEORY; SENSOR NETWORKS; COMMUNICATION; CONCEALMENT; DESIGN

Citation

IET COMMUNICATIONS, v.6, no.9, pp.1038 - 1044

ISSN
1751-8628
DOI
10.1049/iet-com.2011.0840
URI
http://hdl.handle.net/10203/255353
Appears in Collection
GT-Journal Papers(저널논문)
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