基于遗传算法的(n,n-1,m)卷积码盲识别  

Blind Recognition of(n,n-1,m) Convolutional Code Based on Genetic Algorithm

作　　者：张岱[1] 张玉[1] 杨晓静[1] 樊斌斌[1] 

机构地区：[1]电子工程学院,合肥230037

出　　处：《火力与指挥控制》2015年第9期31-34,44,共5页Fire Control & Command Control

基　　金：国家自然科学基金(61201379);安徽省自然科学基金资助项目(1208085QF103)

摘　　要：针对信息截获领域中(n,n-1,m)卷积码盲识别问题,提出基于遗传算法的盲识别方法。该方法在矩阵分析得到编码参数之后,利用遗传算法的全局搜索能力实现对基本校验多项式矩阵的精确识别,进而实现对基本生成多项式矩阵的识别。仿真表明:该方法能够在高误码条件下实现对(n,n-1,m)卷积码的盲识别,且运算量相对于以往的高容错识别方法得到降低。Considering blind recognition of （n,n -1,m） convolutional code in information interception,a recognition method based on genetic algorithm is proposed. After obtaining coding characters through matrix analysis,this method achieves accurate recognition of the basic check polynomial matrix by utilizing global searching ability of the genetic algorithm. Then,recognition of basic generator polynomial matrix is realized. The simulation shows that this method can blindly recognise （n,n-1,m）convolutional code in a high BER environment,while its computing efforts get lower compared with high fault-tolerant methods before.

关 键 词：信息截获 卷积码 盲识别 遗传算法 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]