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Classification of the FSK signal over a rayleigh fading channel

BAO Dan;YANG Shao-quan;CUI Yan-peng

  

  1. School of Electronic Engineering, Xidian Univ., Xi′an 710071, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-02-20 Published:2006-02-20

Abstract: We propose a modulation classifier for M-ary frequency-shift keying(MFSK) signals traveling over a frequency nonselective Rayleigh slow fading channel. This optimal classifier is developed for both synchronouse and asynchronous waveforms and is based on likelihood functions which are derived from the complex envelop of the received FSK signals contaminated by the additive white Gaussian noise (AWGN). Simulation experiments under the synchronous, asynchronous and frequency offset conditions are illustrated to validate the theoretical analysis.

Key words: modulation classification, fading, demodulation

CLC Number: 

  • TN911.72