مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,375
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

BLIND CLASSIFICATION OF AMPLITUDE-PHASE MODULATED SIGNALS BASED ON MAXIMUM LIKELIHOOD APPROACH

Pages

  333-342

Abstract

 The automatic recognition of the modulation format of a detected signal is a major task of an intelligent receiver. This task becomes more difficult when the receiver has no information about the transmitted signal or the channel. At first, the maximum likelihood (ML) classifier for classifying phase-amplitude modulated schemes in coherent environment is presented. It is well known that the ML classifier requires a priori knowledge of the incoming signal and channel (including Amplitude, timing information, noise power and the roll-off factor of the pulse shaping filter). To relax this requirement, we introduce a novel estimator to estimate the parameters required by ML classifier which is blind to the modulation scheme of the received signal, and this gives rise to a new completely blind modulation classifier for digital amplitude-phase modulated signals over fading channels. Results are presented from simulations in terms of correct detection probability versus SNR for the class of BPSK, QPSK, 8-PSK, 16-QAM and 64-QAM modulation schemes. The results show that the performance of this classifier is very close to the ideal classifier with perfect estimates.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    MESKARPOUR, AMIRI HAMID, ZAHABI, MOHAMMAD REZA, & EBRAHIMZADEH, ATAOLLAH. (2016). BLIND CLASSIFICATION OF AMPLITUDE-PHASE MODULATED SIGNALS BASED ON MAXIMUM LIKELIHOOD APPROACH. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(1 (75)), 333-342. SID. https://sid.ir/paper/256598/en

    Vancouver: Copy

    MESKARPOUR AMIRI HAMID, ZAHABI MOHAMMAD REZA, EBRAHIMZADEH ATAOLLAH. BLIND CLASSIFICATION OF AMPLITUDE-PHASE MODULATED SIGNALS BASED ON MAXIMUM LIKELIHOOD APPROACH. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(1 (75)):333-342. Available from: https://sid.ir/paper/256598/en

    IEEE: Copy

    AMIRI HAMID MESKARPOUR, MOHAMMAD REZA ZAHABI, and ATAOLLAH EBRAHIMZADEH, “BLIND CLASSIFICATION OF AMPLITUDE-PHASE MODULATED SIGNALS BASED ON MAXIMUM LIKELIHOOD APPROACH,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 1 (75), pp. 333–342, 2016, [Online]. Available: https://sid.ir/paper/256598/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button