Masters Theses
Abstract
"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.
Advisor(s)
Kosbar, Kurt Louis
Committee Member(s)
Moss, Randy Hays, 1953-
Grimm, L. J.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Spring 2000
Pagination
viii, 48 pages
Note about bibliography
Includes bibliographical references (page 47).
Rights
© 2000 Dennis John Simms, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Thesis Number
T 7681
Print OCLC #
43625071
Electronic OCLC #
1100473596
Link to Catalog Record
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~S5Recommended Citation
Simms, Dennis John, "Automatic recognition of digital modulation" (2000). Masters Theses. 1876.
https://scholarsmine.mst.edu/masters_theses/1876
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