Files in this item



application/pdfGEZER-THESIS-2019.pdf (3MB)
(no description provided)PDF


Title:Receiver synchronization for the opportunistic use of integrated service digital broadcasting – terrestrial digital television signals
Author(s):Gezer, Berat Levent
Advisor(s):Franke, Steven J
Contributor(s):Kamalabadi, Fazad
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):OFDM, Digital Television, ISDB-T, ionospheric scintillations, ISX
Abstract:Abstract Opportunistic use of signals has become a method that is resorted to in research, and industry for various reasons. Although they come with some challenges which can be overcome by applying different techniques, a great number of advantages brought to the field by these signals have made their use practical. Some of these signals like digital television are transmitted at high power. The Ionospheric Scintillation Explorer (ISX) mission dedicated to studying the ionospheric scintillations has been suggested by SRI International, Inc. as a satellite which will receive the trans-ionospheric digital television signals. In order to understand the spatial extent of the scintillating flux tubes, cross-correlation of the phase and amplitude of the pilot carriers in the digital television signals will be examined. Extraction of pilot carriers is only possible if the transmitted signal is recovered at the receiver. In this research, a receiver synchronization algorithm for the opportunistic use of Orthogonal Frequency Division Multiplexing based Integrated Services Digital Broadcasting-Terrestrial (ISDB-T) Digital Television (DTV) signals in free-space has been developed. This synchronization algorithm can be developed further to account for the ionospheric effects on the ISDB-T DTV signals.
Issue Date:2019-07-17
Rights Information:Copyright 2019 Berat Gezer
Date Available in IDEALS:2019-11-26
Date Deposited:2019-08

This item appears in the following Collection(s)

Item Statistics