Woven convolutional codes and a new iterative decoding algorithm

Based on the soft-input soft-output (SISO) algorithm that is used to iteratively decode serially concatenated codes, we present a new modular iterative decoding algorithm for woven convolutional codes. The proposed algorithm takes the log-likelihood ratio of a priori probability as inputs and produc...

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Bibliographic Details
Main Authors: Du Peng, Li Qiang, Bi Guangguo
Format: Conference Proceeding
Language:English
Subjects:
Bismuth
Block codes
Capacity planning
Concatenated codes
Convolutional codes
Iterative algorithms
Iterative decoding
Laboratories
Mobile communication
Turbo codes
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Summary:Based on the soft-input soft-output (SISO) algorithm that is used to iteratively decode serially concatenated codes, we present a new modular iterative decoding algorithm for woven convolutional codes. The proposed algorithm takes the log-likelihood ratio of a priori probability as inputs and produces log-likelihood ratio of post a priori probability as outputs. The justification and the performance are demonstrated by numerical simulation.
DOI:10.1109/PIMRC.2003.1260441