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作 者:杨树树[1] 刘旭波 徐学华 李贵显 冀贞海[1] Yang Shushu;Liu Xubo;Xu Xuehua;Li Guixian;Ji Zhenhai(No.8511 Research Institute of CASIC,Nanjing 210007,Jiangsu,China;Unit 91977of PLA,Beijing 100142,China)
机构地区:[1]中国航天科工集团8511研究所,江苏南京210007 [2]中国人民解放军91977部队,北京100142
出 处:《航天电子对抗》2019年第5期38-41,45,共5页Aerospace Electronic Warfare
摘 要:现代数字通信系统中为了保证信息传输的可靠性,通常采用信道编码技术,卷积码作为一种特殊的线性分组码,具有纠错能力强和编译简单等优点,从而得到了广泛应用。在非合作通信领域,信道编码识别技术已成为一个重要的研究方向。借鉴线性分组码的识别方法对卷积码进行识别分析,重点研究了无误码条件下系统卷积码和非系统卷积码的识别方法,以及有误码条件下的非系统卷积码识别方法,并进行了仿真分析,仿真结果表明,根据大数判决原理结合多次识别的方法相对单次判决识别性能有大幅提升。In order to ensure the reliability of information transmission in modern digital communication system, channel coding technology is usually used. As a special linear block code, convolutional codes have been widely used because of the strong error-correcting ability and simple coding and decoding. In the field of non-cooperative communication, channel coding recognition technology has become an important research direction. The recognition methods of linear block codes are used to identify and analyze convolutional codes. The recognition methods of system convolutional codes and non-system convolutional codes without error code, and the recognition methods of non-system convolutional codes with error code are studied. Simulation analysis are carried out, and the simulation results show that the performance of the method based on the principle of large number decision combined with multiple recognition is greatly improved compared with that of single decision recognition.
分 类 号:TN971^+.1[电子电信—信号与信息处理]
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