基于遗传算法的turbo码进化交织器设计

The 2004 IEEE Asia-Pacific Conference on Circuits and Systems, 2004. Proceedings. Pub Date : 2004-12-06 DOI:10.1109/APCCAS.2004.1413066

Tan Ying, Sun Hong

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引用次数: 0

摘要

提出了一种基于遗传算法的turbo码扩展随机交织器的进化算法。这种方法被称为基于遗传算法的扩散随机交错。与随机交织器相比，新的交织器在误差性能上有了实质性的改善，与非随机交织器相比有了明显的改善。此外，与s -random算法相比，该方法生成扩展随机交织器所需的时间更短。

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GA-based evolutionary interleaver design for turbo codes

This paper presents an evolutionary algorithm for generating spread random interleavers for turbo codes, using genetic algorithms (GAS). The approach is called GA-based spread random interleaving. The new interleaver offers a substantial improvement in the error performance over a random interleaver and a noticeable improvement over a s -random interleaver. In addition, the proposed method takes less time to generate spread random interleavers than the s -random algorithms.

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The 2004 IEEE Asia-Pacific Conference on Circuits and Systems, 2004. Proceedings.

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