Performance Improvement of Turbo Code Based on the Extrinsic Information Transition Characteristics

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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