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Giving Biological Behaviour to the Turbo Codes Efficient Interleaver with the Genetic Algorithms (New Interleaver Pattern BGOI)

机译:将生物行为与遗传算法(新交织器图案BGoi)的涡轮码辅助交织者

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Since the appearance in 1993, first approaching the Shannon limit, the Turbo Codes give a new direction for the channel encoding field, especially since they were adopted for multiple norms of telecommunications, such as deeper communication. To obtain an excellent performance it is necessary to design robust turbo code interleaver. We are investigating genetic algorithms as a promising optimization method to find good performing interleaver for the large frame sizes. In this paper, we present our work, compare with several previous approaches and present experimental results.
机译:自1993年出现以来,首先接近Shannon限制,Turbo代码给出了通道编码领域的新方向,特别是因为它们被采用了多种电信规范,例如更深的通信。为了获得出色的性能,有必要设计强大的涡轮码交织器。我们正在研究遗传算法作为一个有希望的优化方法,以找到用于大框架尺寸的良好性交交织。在本文中,我们介绍了我们的工作,比较了以前的几种方法和目前的实验结果。

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