期刊文献+

基于谱线-高阶累积量的调制识别研究与实现

Research and Implementation of Modulation Recognition Based on Spectral Lines-High Order Cumulants
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摘要 已发表的调制识别算法大多基于单一特征参数,识别种类较少,且往往很难在实际系统中布署。提出了一种基于谱线-高阶累积量的数字调制识别算法,该算法利用载波频率估计、符号速率估计、定时恢复、噪声功率估计等前处理手段,结合信号功率谱、二次方谱、四次方谱中的离散谱线和四阶归一化高阶累积量,可识别2ASK、4ASK、8ASK、2FSK、4FSK、8FSK、BPSK、QPSK、8PSK、OQPSK、MSK、16QAM、32QAM、64QAM、128QAM、256QAM 16种数字调制信号。基于该算法,设计并实现了一种数字调制识别处理系统,可实时识别上述16种调制信号。结果表明,该实时系统对大部分调制信号的识别准确率可达到99%以上,对8PSK、32QAM、128QAM等调制信号的识别准确率可达到94%以上。 Most of the published modulation recognition algorithms are based on a single feature parameter,with limited recognition types and often difficult to deploy in practical systems.Therefore,a digital modulation recognition algorithm based on spectral line high-order cumulant is proposed.The algorithm utilizes pre-processing methods such as carrier frequency estimation,symbol rate estimation,timing recovery,and noise power estimation,combined with discrete spectral lines and fourth-order normalized high-order cumulants in signal power spectrum,quadratic spectrum,and fourth-order spectrum.It can recognize 2ASK,4ASK,8ASK,2FSK,4FSK,8FSK,BPSK,QPSK,8PSK,OQPSK,MSK,16QAM,32QAM,64QAM,etc There are 16 types of digital modulation signals,including 128QAM and 256QAM.Based on this algorithm,a digital modulation recognition processing system was designed and implemented,which can recognize the 16 modulation signals mentioned above in real time.The results show that the real-time system can achieve recognition accuracy of 99%or above for most modulation signals,and recognition accuracy of 94%or above for modulation signals such as 8PSK,32QAM,and 128QAM.
作者 张朝晖 孙臻烨 张欢 ZHANG Zhaohui;SUN Zhenye;ZHANG Huan(The 36th Research Institute of China Electronics Technology Group Corporation,Jiaxing,Zhejiang 314000,China;College of Biomedical Engineering&Instrument Science,Zhejiang University,Hangzhou,Zhejiang 310028,China;School of Communication Engineering,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China)
出处 《自动化应用》 2024年第2期51-55,共5页 Automation Application
关键词 调制识别 谱线 高阶累积量 实时系统 modulation recognition spectral lines high-order cumulants real-time system
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  • 1吴月娴,葛临东,许志勇.常用数字调制信号识别的一种新方法[J].电子学报,2007,35(4):782-785. 被引量:25
  • 2Nandi A K and Azzouz E E. Algorithm for automatic modulation recognition of communication signals [J]. IEEE Trans. on Communications, 1998, 46(4): 431-436.
  • 3Qazi s A and Stergioulas L K. Higher order nested wigner distributions: properties and applications [J]. IEEE Trans. on Signal Processing, 2006, 54(12): 4662-4674.
  • 4Fusco T, Izzo L, and Napolitano A, et al.. On the second-order cyclostationarity properties of long-code DS-SS signals [J]. IEEE Trans. on Communications, 2006, 54(10): 1741-1746.
  • 5Napolitano A and Spooner C M. Cyclic spectrM analysis of continuous-phase modulated signals [J]. IEEE Trans. on Signal Processing, 2001, 49(1): 30-44.
  • 6Linfoot S L, Ibrahim M K, and A1-Akaidi M M. Orthogonal wavelet division multiplex: an alternative to OFDM [J]. IEEE Trans. on Consumer Electronics, 2007, 53(2): 278-284.
  • 7Dobre O A, Abdi A, and Bar-Ness Y, et al.. Survey of automatic modulation classification techniques: classical approaches and new trends [J]. IET Communications, 2007, 1(2): 137-156.
  • 8Zhang Y, Hoshyar R, and Tafazolli R. Timing and frequency offset estimation scheme for the uplink of OFDMA systems [J]. IET Communications, 2008, 2(1): 121-130.
  • 9Bianchi P, Loubaton P, and Sirven F. On the blind estimation of the parameters of continuous phase modulated signals [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(5): 944-962.
  • 10Reichert J. Automatic classification of communication signals using higher order statistics [C]. IEEE Int. Conf. on Acoustics Speech, and Signal Processing, San Francisco, CA, USA, Mar 23-26, 1992, 5: 221-224.

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