基于鸡群优化的改进串行串联卷积Turbo码(SCCTC)

S. Banerjee, S. Chattopadhyay
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引用次数: 13

摘要

现代通信系统采用纠错编码方式,通过增加冗余位来提高通信信道的抗扰度。在AWGN信道条件下,对组成码的内部参数进行适当的调整可以显著提高Turbo码的系统性能。本文提出了一种优化的串行串联卷积Turbo码(SCCTC),利用鸡群优化(CSO)算法来提高误码率性能,特别是在信噪比较高的情况下。采用不同多栅格的序列级联递归系统卷积(SCRSC)编码器,主要在高信噪比区域改善误码率特性。此外,还观察到误码率值随码块长度的变化。最后,将所提出的SCCTC的误码率性能与传统的以及串接的涡轮BCH-RSC码进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Serially Concatenated Convolution Turbo Code (SCCTC) using chicken swarm optimization
Error-control coding pattern is used in modern communication system to uplift the immunity of noisy communication channel by adding the redundant bits. Suitable tuning of internal parameters of constituent codes leads to considerable enhancement in system performance of Turbo code under AWGN channel condition. In this paper, an optimized Serially Concatenated Convolution Turbo Code (SCCTC) has been suggested to improve BER performance especially at higher values of SNR using Chicken Swarm Optimization (CSO) algorithm. Serially Concatenated Recursive Systematic Convolutional (SCRSC) encoder with different poly2trellis has been used to establish the improvement in BER characteristics mainly in high SNR regions. Moreover, the variation of BER values with the block lengths of the code has also been witnessed. Finally, the BER performance of the proposed SCCTC has been compared with conventional as well as serially concatenated turbo BCH-RSC code.
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