Abstract
Good performance of turbo code can be obtained by updating extrinsic information in the iterative decoding process. At first, transition patterns are categorized by the characteristics of extrinsic information in this paper. The distribution of these patterns is surveyed according to signal-to-noise ratio. The dominant error pattern is determined based on the results. And error performance improvement is expected by correcting it. Thus, a scheme to correct the bit with the lowest extrinsic information is proposed and analyzed. The performance is improved as expected from simulation results as compared to the conventional scheme especially in error floor region.
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Kim, W.T., Kang, S.H., Joo, E.K. (2005). Performance Improvement of Turbo Code Based on the Extrinsic Information Transition Characteristics. In: Smart, N.P. (eds) Cryptography and Coding. Cryptography and Coding 2005. Lecture Notes in Computer Science, vol 3796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11586821_4
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DOI: https://doi.org/10.1007/11586821_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30276-6
Online ISBN: 978-3-540-32418-8
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