电讯技术2017，Vol.57Issue(10)：1107-1113,7.DOI:10.3969/j.issn.1001-893x.2017.10.002
基于分块矩阵变换的线性分组码盲识别
Blind Recognition of Linear Block Codes Based on Block Matrix Transformation
摘要
Abstract
To solove the problem of error diffusion in traditional matrix analysis methods, a linear block code blind recognition method is proposed based on block matrix transformation. Firstly,the analysis matrix is constructed according to the estimated code length,and the matrix is transformed into the low triangular matrix after the analysis matrix is divided. Then,the thresholds of the relevant columns are set according to the statistical distribution characteristics of the relevant column weights,and the number of correlation col-umns corresponding to the thresholds is counted when the number of related columns is the largest. The method is simple and can also identify codeword synchronization points. Theoretical analysis and simulation results show that the fault recognition performance of the method is good,and the correct recognition rate of (15,7) linear block codes can reach 80% under the condition of bit error rate of 5%.关键词
线性分组码/盲识别/分块矩阵变换/相关列Key words
linear block codes/blind recognition/block matrix transformation/related columns分类
信息技术与安全科学引用本文复制引用
赵亮,张天骐,杨强..基于分块矩阵变换的线性分组码盲识别[J].电讯技术,2017,57(10):1107-1113,7.基金项目
国家自然科学基金资助项目(61671095,61371164) （61671095,61371164）
信号与信息处理重庆市市重点实验室建设项目(CSTC2009CA2003) （CSTC2009CA2003）
重庆市教育委员会科研项目(KJ130524,KJ1600427,KJ1600429) （KJ130524,KJ1600427,KJ1600429）
