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基于码重分布概率方差的循环码识别方法
Recognition method of cyclic codes based on code weight distribution probability variance
投稿时间:2012-09-10  修订日期:2012-10-20
中文关键词:循环码  盲识别  码重  方差  生成多项式
英文关键词:cyclic codes  blind recognition  code weight  variance  generated polynomial
基金项目:
作者单位
郑瑞瑞 The thirty-sixth Research Institute of China Electronic Technology Group CorporationJiaxing Zhejiang 314001China 
汪立新 1.The thirty-sixth Research Institute of China Electronic Technology Group CorporationJiaxing Zhejiang 314001China2.Department of Communication EngineeringHangzhou Dianzi UniversityHangzhou Zhejiang 310018China 
摘要点击次数: 2339
全文下载次数: 2018
中文摘要:
      提出循环码的一种盲识别方法。在码字起点已知的条件下,分析循环码码重分布特点,基于码重分布概率方差识别码长;根据码重分布统计结果选择最佳的码字,求其循环移位后码多项式的公因式, 最后通过判决关系识别生成多项式完成循环码的盲识别。仿真实验表明该方法对误码率在10-2时的循环码具有较好的识别效果。
英文摘要:
      A blind recognition method of cyclic codes is proposed. Under the condition of having known the starting point of the code words,code weight distribution of cyclic codes is analyzed,and code length is recognized based on code weight distribution probability variance. According to the statistical results of code weight distribution, the appropriate code words are chosen,then the common factor of code polynomial after cyclic shift is obtained. Finally, the generated polynomial is recognized by setting a rational judgment relation,thus the blind recognition of cyclic codes is completed. The simulation experiments show that the method has better recognition effect for cyclic codes with BER of 10-2.
引用本文:郑瑞瑞,汪立新.基于码重分布概率方差的循环码识别方法[J].太赫兹科学与电子信息学报,2013,11(5):792~796
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