用和谐搜索算法设计并行级联卷积turbo码

S. Banerjee, S. Chattopadhyay
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引用次数: 7

摘要

在现代通信系统中,纠错编码模式增加了足够的冗余,从而提高了抵抗信道损伤的免疫力。Turbo码可以通过改变交织器大小和自由距离,在AWGN信道中实现有限的误码率性能提升。本文提出了一种优化的并行级联卷积Turbo码,以显著提高误码率。使用相同的递归系统卷积(RSC)编码器证明了误码率的提高。仿真结果表明,所提出的和声搜索(HS)优化的并行级联卷积Turbo码的性能优于传统的并行级联卷积Turbo码。
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Design of parallel concatenated convolution turbo code using harmony search algorithm
In modern communication system error-correction coding pattern boosts sufficient redundancy which in turn upsurges the immunity to pact with the channel impairments. Turbo code can deliver restrained progress in BER performance in an AWGN channel by varying interleaver size and free distance. In this paper, an optimized Parallel Concatenated Convolution Turbo code has been proposed to improve BER performance ominously. The identical Recursive Systematic Convolutional (RSC) encoder has been used to prove the enhancement in BER performance. The simulation result shows that the proposed Harmony-Search (HS) optimized Parallel Concatenated Convolution Turbo code is superior in performance to the conventional Parallel Concatenated Convolution Turbo Code.
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