Title page for ETD etd-05102009-034303


Type of Document Master's Thesis
Author Headley, William Christopher
Author's Email Address cheadley@vt.edu
URN etd-05102009-034303
Title Classification and Parameter Estimation of Asynchronously Received PSK/QAM Modulated Signals in Flat-Fading Channels
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
da Silva, Claudio R. C. M. Committee Chair
Buehrer, Richard Michael Committee Member
MacKenzie, Allen B. Committee Member
Keywords
  • asynchronous classification and estimation
  • spectrum sensing
  • SNR estimation
  • distributed detection
  • modulation classification
Date of Defense 2009-04-30
Availability unrestricted
Abstract
One of the fundamental hurdles in realizing new spectrum sharing allocation policies is that of reliable spectrum sensing. In this thesis, three research thrusts are presented in order to further research in this critical area. The first of these research thrusts is the development of a novel asynchronous and noncoherent modulation classifier for PSK/QAM modulated signals in flat-fading channels. In developing this classifier, a novel estimator for the unknown channel gain and fractional time delay is proposed which uses a method-of-moments based estimation approach. For the second research thrust of this thesis, the developed method-of-moments based estimation approach is extended to estimate the signal-to-noise ratio of PSK/QAM modulated signals in flat-fading channels, in which no a priori knowledge of the modulation format and channel parameters is assumed. Finally, in the third research thrust, a distributed spectrum sensing approach is proposed in which a network of radios collaboratively detects the presence, as well as the modulation scheme, of a signal through the use of a combination of cyclic spectrum feature-based signal classification and an iterative algorithm for optimal data fusion.
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