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<p>The potential benefits of automated detection of digital modulation types have  made it a continuing topic of research for many years. Commercial systems could be  made more interoperable and military sensors could send demodulated products for  analysis, to name just two. Noisy channels and multipath fading environments continue  to make this a challenging problem. This thesis applies classification algorithms that  have been used in other applications. Nine different digital modulation schemes are  considered. The criteria for selecting higher-ordered moments and cumulants as features  for discrimination are discussed. An overview of the classification algorithms considered  is provided, as well as the statistical models for noisy channels. Results show that the  scheme proposed here works well in AWGN channels and in moderate fading conditions.
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<br>Subjects: Engineering; Electronics; Communication; Radio frequency</div>
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Geisinger, Nathan P.</div>
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