The iterative decoding algorithm research of Turbo Product Codes

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 modulati...

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Published in:2010 International Conference on Apperceiving Computing and Intelligence Analysis pp. 97 - 100
Main Authors: Fu-Gang Wang, Yi Tang, Fan Yang
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2010
Subjects:
ISBN:9781424480258, 1424480256
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Abstract 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.
AbstractList 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.
Author Yi Tang
Fu-Gang Wang
Fan Yang
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  surname: Fan Yang
  fullname: Fan Yang
  organization: Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
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Snippet This article has researched encoding and decoding algorithms of Turbo Product Codes focusing on analysis of Chase-Pyndiah algorithm-based soft in/soft out...
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StartPage 97
SubjectTerms Channel coding
chase algorithm
Complexity theory
Decoding
gradient algorithm
Iterative decoding
Product codes
Turbo codes
Turbo Product Codes
Title The iterative decoding algorithm research of Turbo Product Codes
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