Masters Theses
Abstract
"In this thesis the application of independent component analysis (ICA) to a multiple-source detection problem is studied. Specifically, a detection problem that is somewhat of a blend of the classical "signals with unknown parameters in noise" and "random signals in noise" problems is investigated. The idea is to detect the presence of a class of devices from their unintended radio frequency (RF) radiation. Because the signal is not an intended radiation, each device will emit a slightly different pattern. Moreover, these patterns may change under varying conditions such as battery voltage and ambient temperature. In addition, there may be several devices present simultaneously. When only a single device is present the classical matched filtering (MF) approach works well. However, when several devices are present they interfere with each, especially when two or more are from the same class"--Abstract, page iii.
Advisor(s)
Grant, Steven L.
Committee Member(s)
Stanley, R. Joe
Moss, Randy Hays, 1953-
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2007
Pagination
xii, 91 pages
Note about bibliography
Includes bibliographical references.
Rights
© 2007 Narayana Ravirala, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Decomposition (Mathematics)
Electronic noise
Multivariate analysis
Signal detection -- Mathematical models
Time-series analysis
Thesis Number
T 9279
Print OCLC #
235287500
Electronic OCLC #
214282401
Link to Catalog Record
Recommended Citation
Ravirala, Narayana, "Device signal detection methods and time frequency analysis" (2007). Masters Theses. 4599.
https://scholarsmine.mst.edu/masters_theses/4599