• DocumentCode
    1613729
  • Title

    Constellation shape as a robust signature for digital modulation recognition

  • Author

    Mobasseri, Bijan G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    442
  • Abstract
    This work reports on a new digital modulation recognition algorithm in an AWGN channel and in the presence of carrier recovery errors. The proposed classification technique uses the signal constellation shape as a stable modulation signature. The recovered constellations are modeled by binomial nonhomogenous spatial random fields and are used in an ML classifier. We experimentally show that shape as a global signature exhibits considerable stability in high noise, weakly synchronous environments. Experimental results are shown for various modulation standards including V.29, V.29 fallback, 8-PSK and 16-QAM
  • Keywords
    AWGN channels; noise; phase shift keying; quadrature amplitude modulation; random processes; signal classification; signal representation; telecommunication standards; 16-QAM; 8-PSK; AWGN channel; ML classifier; V.29; V.29 fallback; binomial nonhomogenous spatial random fields; carrier recovery errors; digital modulation recognition algorithm; experimental results; global signature; high noise; maximum likelihood classifier; modulation standards; recovered constellations; robust signature; signal constellation shape; stable modulation signature; vector shape representation; weakly synchronous environments; AWGN channels; Additive white noise; Constellation diagram; Digital modulation; Gaussian noise; Noise shaping; Robustness; Shape; Stability; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference Proceedings, 1999. MILCOM 1999. IEEE
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-7803-5538-5
  • Type

    conf

  • DOI
    10.1109/MILCOM.1999.822722
  • Filename
    822722