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

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