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The iterative decoding algorithm research of Turbo Product Codes

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3 Author(s)
Fu-Gang Wang ; School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ; Yi Tang ; Fan Yang

This article has researched encoding and decoding algorithms of Turbo Product Codes focusing on analysis of Chase-Pyndiah algorithm-based soft in/soft out (SISO) iterative decoding algorithm. The algorithm simulation done under matlab7.0 environment shows that, on an AWGN channel using BPSK modulation, Turbo Product Codes do a similar decoding performance as Turbo codes with a simpler decoding method and faster convergence. After several iterations, the decoding performance of Turbo Product Codes, which can be regarded as a kind of excellent channel coding pattern, has been significantly improved. Finally, a further research on modified decoding algorithm, that is gradient decoding algorithm, has been done and the simulation result approves that it offers a very good compromise between complexity and performance.

Published in:

Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on

Date of Conference:

17-19 Dec. 2010