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2011•Unpublished venueRequires access

Design and Performance Analysis of an Improved Decoding Algorithm for Turbo Codes

Zhenchuan Zhang, Nana Jiang

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Abstract

This paper considers the SOVA and the Log-MAP for decoding Turbo codes. It primarily studies the differences between the two algorithms and discusses the suitability of combining both algorithms. The frames are first applied with SOVA with error detection. After a fixed maximum number of SOVA, the erroneous frames are continued with Log-MAP. The results show that the algorithm could reduce the complexity and keep the performance.

About this research paper

What this paper is about

This paper considers the SOVA and the Log-MAP for decoding Turbo codes. It primarily studies the differences between the two algorithms and discusses the suitability of combining both algorithms. The frames are first applied with SOVA with error detection. After a fixed maximum number of SOVA, the erroneous frames are continued with Log-MAP. The results show that the algorithm could reduce the complexity and keep the performance.

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Available abstract

This paper considers the SOVA and the Log-MAP for decoding Turbo codes. It primarily studies the differences between the two algorithms and discusses the suitability of combining both algorithms. The frames are first applied with SOVA with error detection. After a fixed maximum number of SOVA, the erroneous frames are continued with Log-MAP. The results show that the algorithm could reduce the complexity and keep the performance.

Key concepts: Turbo code, Computer science, Decoding methods, Turbo equalizer, Algorithm, Serial concatenated convolutional codes, BCJR algorithm, Turbo

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