"There are many military and commercial applications in which the main objective is to monitor an intercepted digital radio signal. This thesis describes an algorithm that reliably distinguishes between six common digital modulation types.
The method is based on an algorithm developed by Azzouz and Nandi that performs relatively simple calculations on the instantaneous amplitude, instantaneous phase and instantaneous frequency of the intercepted signal to determine the modulation type. Computer simulations using this method did not agree with previously published results. A modified method is presented that improves upon the recognition of four of the six modulation types considered"--Abstract, page iii.
Kosbar, Kurt Louis
Moss, Randy Hays, 1953-
Grimm, L. J.
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
viii, 48 pages
© 2000 Dennis John Simms, All rights reserved.
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b4398379~S5
Simms, Dennis John, "Automatic recognition of digital modulation" (2000). Masters Theses. 1876.
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