光传输系统中一种分组Turbo码的新颖译码算法分析  

Analysis on a New Decoding Algorithm of the Block Turbo Code for Optical Transmission Systems

作　　者：温永刚[1] 王琬茹[2] 

机构地区：[1]天津商业大学宝德学院,天津300384 [2]天津工业大学计算机科学与软件学院,天津300387

出　　处：《半导体光电》2015年第5期793-795,799,共4页Semiconductor Optoelectronics

摘　　要：基于遗传算法与Chase译码算法的各自优势,提出了一种降低运算复杂度并加快译码速度的新颖分组Turbo码(BTC)译码算法。与传统的Chase译码算法相比,该译码算法降低了译码复杂度且加快了译码速度。仿真分析表明,该算法较传统的Chase译码算法在误码率为10-6时提高了约1.15dB的净编码增益(NCG),具有良好的纠错性能。因而它是一种适用于光传输系统且实用性较强的新颖BTC译码算法。In order to meet the requirements of the increasing development and the transmission characteristics of optical transmission systems,a new decoding algorithm of the block turbo code（BTC）with lower computation complexity and higher decoding speed was proposed based on the advantages of both the genetic algorithm and the Chase decoding algorithm.Compared with traditional Chase decoding algorithm,the computation complexity can be reduced and the decoding speed can be accelerated by applying the novel algorithm.The simulation result shows that the net coding gain（NCG）of the novel BTC decoding algorithm is1.15 dB higher than that of the traditional Chase decoding algorithm at the bit error rate（BER）of10-6.As a result,the new decoding algorithm has a better decoding correction-error performance and can be a new more practicable BTC decoding algorithm for optical transmission systems.

关 键 词：分组Turbo码(BTC) 遗传算法 Chase译码算法 净编码增益(NCG) 光传输系统 

分 类 号：TN929.11[电子电信—通信与信息系统]