摘要
目前在对Turbo码编码时广泛应用的是递归系统卷积编码器,要完成对Turbo码的识别,首先要对产生的RSC编码参数进行获取。针对低信噪比条件下(n,1,m)RSC码的识别问题,提出运用一种软判决加权Walsh-Hadamard变换(WHT)的方法完成对RSC码的生成多项式的估计。仿真结果表明,在信噪比低于3.5dB条件下,软判决加权WHT算法比传统的WHT算法具有更好的识别概率。
Recursive system recursive convolutional code is widely used in the Turbo code coding.First of all,when we want to recognize the Turbo code,we should gain the parameter of RSC code.For the recognition problem of（n,1,m）RSC code in the low signal-to-noise ratio environment,a method based on soft-decision weighted WHT is proposed.It can be used to complete the estimate of RSC code generated polynomial.The simulation results from Matlab show that the algorithm of soft-decision weighted WHT has better recognition probability than algorithm of traditional WHT under the condition of the signal-to-noise ratio is lower than 3.5dB.
出处
《航天电子对抗》
2015年第6期44-47,共4页
Aerospace Electronic Warfare
基金
国家自然科学基金(61201379)
安徽省自然科学基金(1208085QF103)
关键词
信道编码
RSC码
软判决
加权WHT
channel coding
recursive system convolutional code
soft-decision
weighted WHT
作者简介
彭贻云（1992-），男，硕士研究生，研究方向为信道编码识别研究。
