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作 者:xinhao li min zhang shu'nan han quan yuan Xinhao Li Min Zhang Shu’nan Han Quan Yuan(Electronic Engineering Institute, Hefei 230037, China Key Laboratory of Anhui Electronic Restricting Technique, Hefei 230037, China)
机构地区:[1]electronic engineering institute,Hefei 230037,China [2]key laboratory of anhui electronic restricting technique,Hefei 230037,China
出 处:《Journal of Systems Engineering and Electronics》2016年第5期968-978,共11页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61171170); the Natural Science Foundation of Anhui Province(1408085QF115)
摘 要:This study proposes a novel multi-fractal spectrumbasedapproach to distinguish linear block codes from its selfsynchronousscrambled codes. Given that the linear block codeand self-synchronous scrambled linear block code share the propertyof linear correlation, the existing linear correlation-basedidentification method is invalid for this case. This drawback can becircumvented by introducing a novel multi-fractal spectrum-basedmethod. Simulation results show that the new method has highrobustness and under the same conditions of bit error, the lowerthe code rate, the higher the recognition rate. Thus, the methodhas significant potential for future application in engineering.This study proposes a novel multi-fractal spectrumbasedapproach to distinguish linear block codes from its selfsynchronousscrambled codes. Given that the linear block codeand self-synchronous scrambled linear block code share the propertyof linear correlation, the existing linear correlation-basedidentification method is invalid for this case. This drawback can becircumvented by introducing a novel multi-fractal spectrum-basedmethod. Simulation results show that the new method has highrobustness and under the same conditions of bit error, the lowerthe code rate, the higher the recognition rate. Thus, the methodhas significant potential for future application in engineering.
关 键 词:linear block code self-synchronous scrambled code multi-fractal spectrum statistical physics algorithm.
分 类 号:TN911.22[电子电信—通信与信息系统] O484.1[电子电信—信息与通信工程]
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