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OFDM信号的新型自动识别与解调技术研究 被引量:1

New Automatic Recognition and Demodulation Technology of OFDM Signal
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摘要 近年来,通信领域越来越多地使用OFDM信号,有关OFDM的识别和解调也成为业界的热点问题之一。在对OFDM信号特性进行分析的基础上,设计了用于OFDM信号识别的新型四阶累量特征提取方法;研究和讨论了OFDM子载波间隔、频率及数目自动测量等调制规格分析技术;定义了频带边界虚音的概念,提出了新颖的基于频带边界虚音能量检测的符号速率估计算法;讨论分析了频偏与载波间干扰的关系,提出了基于迭代运算的载波频率精确估计算法。实际应用结果表明了此种OFDM信号自动识别与解调技术的有效性。 In recent years,OFDM signals have been increasingly used in the field of communications.The identification and demodulation of OFDM has also become one of the hot issues in the industry.Based on the analysis of OFDM signal characteristics,a novel fourth-order cumulant feature extraction method for OFDM signal recognition is designed.Modulation specification analysis techniques such as OFDM subcarrier spacing and frequency,as well as automatic number measurement,have been studied and discussed.The concept of band boundary virtual sound is defined,and a novel symbol rate estimation algorithm based on band boundary virtual sound energy detection is proposed.The relationship between frequency offset and inter-carrier interference is discussed and an accurate carrier frequency estimation algorithm based on iterative operation is proposed.The practical application results indicate the effectiveness of this OFDM signal automatic identification and demodulation technology.
作者 陈菊 CHEN Ju(No.3 Student Team,Yangpu Teaching Area,School of Political Science,National Defense University,Shanghai 200433,China;Unit 61486 of PLA Strategic Support Force,Shanghai 200072,China)
出处 《通信技术》 2018年第12期2805-2811,共7页 Communications Technology
关键词 信号自动识别 信号解调 OFDM 边界虚音能量 automatic signal recognition signal demodulation OFDM bounded virtual sound energy
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