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Proceedings Paper

Turbo decoding for combined distortions in distributed source coding
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Paper Abstract

Turbo codes is a promising technique for distributed source coding (DSC) in sensor networks because of its simple encoding implementation in sensors and the high decoding performance at the receiver. Different than the scenario in channel coding that only one distortion from physical channel exists, two types of distortion from both physical channel and BSC co-exist in a distributive source coding scenario. In this paper, first, the conventional Turbo decoding is modified to handle BSC distortion. Then, it is further modified to decode mixed data with both types of distortion simultaneously. By redefining channel reliabilities and calculating the extrinsic information considering both distortions, the new decoding algorithm well matches the realistic DSC scenario and indeed improves decoding performance.

Paper Details

Date Published: 24 October 2005
PDF: 8 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60150K (24 October 2005); doi: 10.1117/12.630767
Show Author Affiliations
Hui Jun Chen, The Univ. of Mississippi (United States)
Lei Cao, The Univ. of Mississippi (United States)
Zhi Hai He, Univ. of Missouri/Columbia (United States)

Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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