一种新的高误码（2，1，m）卷积码盲识别方法
일충신적고오마（2，1，m）권적마맹식별방법
A New Method of Blind Recognition to(2,1,m)Convolutional Code
  • 万方数据
    火力与指挥控制 화력여지휘공제
    FIRE CONTROL & COMMAND CONTROL
    2013年 11期 69-71,76 ,共4页

    张东%陈国顺%王格芳%吕艳梅

    장동%진국순%왕격방%려염매

    卷积码盲识别%匹配统计%容错性能%生成多项式 捲積碼盲識彆%匹配統計%容錯性能%生成多項式
    권적마맹식별%필배통계%용착성능%생성다항식
    blind recognition of convolutional code%suited statistic%performance of error-resilient%generator polynomial matrix
    信道编码是数字通信中极其重要的环节，其识别成为信息截获恢复领域一个亟需解决的问题。针对卷积码盲识别问题，提出了一种基于校验匹配统计的识别方法，该方法首先通过统计的方法求出最佳匹配的校验矩阵，进而推导出生成多项式矩阵。最后，通过MATLAB实例仿真验证了该方法能够有效识别出所有卷积码，且具有很好的容错性能。
    신도편마시수자통신중겁기중요적배절，기식별성위신식절획회복영역일개극수해결적문제。침대권적마맹식별문제，제출료일충기우교험필배통계적식별방법，해방법수선통과통계적방법구출최가필배적교험구진，진이추도출생성다항식구진。최후，통과MATLAB실례방진험증료해방법능구유효식별출소유권적마，차구유흔호적용착성능。
    Channel coding is a vital part in digital communication,and its recognition has been a problem that must be solved. This paper proposes a method,based on suited statistic,to recognize the convolutional code. Firstly,this method seeks the prime parity-check matrix by statistic,and then deduces the generator polynomial matrix. At last,the simulation of MATLAB proves that this method can recognize all convolutional code,and has the good performance of error-resilient.
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