The iterative decoding algorithm research of Turbo Product Codes

Author

Wang, Fu-gang ; Tang, Yi ; Yang, Fan

Author_Institution

Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

97

Lastpage

100

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.

Keywords

AWGN channels; channel coding; iterative decoding; phase shift keying; product codes; turbo codes; AWGN channel; BPSK modulation; Chase-Pyndiah algorithm; Matlab7.0 environment; SISO iterative decoding algorithm; channel coding pattern; encoding algorithms; gradient decoding algorithm; soft in-soft out iterative decoding algorithm; turbo product codes; Complexity theory; Decoding; Iterative decoding; Product codes; Turbo codes; Channel coding; Turbo Product Codes; chase algorithm; gradient algorithm; iterative Decoding;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8025-8

Type

conf

DOI

10.1109/ICACIA.2010.5709859

Filename

5709859