• DocumentCode
    2300351
  • Title

    Collaborative modulation recognition based on SVM

  • Author

    Gong, Xiaojie ; Bian, Li ; Zhu, Qi

  • Author_Institution
    Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    871
  • Lastpage
    874
  • Abstract
    In this paper the method of recognizing signals modulated collaboratively by 2ASK, 4ASK, FSK, 2PSK 4PSK and OFDM is presented based on a hierarchical SVM algorithm with five characteristic parameters. Two nodes extract key features separately, and then sent to a center where the modulation types are recognized using the hierarchical SVM classifier. Simulation results show that collaborative modulation recognition method performs better than that using single node. And with SNR larger than 0 dB, its successful recognition rates are all higher than 90%.
  • Keywords
    OFDM modulation; amplitude shift keying; frequency shift keying; phase shift keying; signal detection; support vector machines; 2ASK; 2PSK; 4ASK; 4PSK; FSK; OFDM; SVM; collaborative modulation recognition; Collaboration; Feature extraction; Frequency shift keying; OFDM; Signal to noise ratio; Support vector machines; collaborative modulation recognition; feature extraction; support vector machines(SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583916
  • Filename
    5583916