Turbo decoding for combined distortions in distributed source coding

Hui Jun Chen; Lei Cao; Zhi Hai He

doi:10.1117/12.630767

24 October 2005 Turbo decoding for combined distortions in distributed source coding

Hui Jun Chen, Lei Cao, Zhi Hai He

Proceedings Volume 6015, Multimedia Systems and Applications VIII; 60150K (2005) https://doi.org/10.1117/12.630767
Event: Optics East 2005, 2005, Boston, MA, United States

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.

Citation Download Citation

Hui Jun Chen, Lei Cao, and Zhi Hai He "Turbo decoding for combined distortions in distributed source coding", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60150K (24 October 2005); https://doi.org/10.1117/12.630767

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