Login | Register

Carrier phase and frequency estimation for burst-mode communications


Carrier phase and frequency estimation for burst-mode communications

Zhang, Yan (2001) Carrier phase and frequency estimation for burst-mode communications. Masters thesis, Concordia University.

Text (application/pdf)


It is necessary for coherent communication systems to apply synchronization of carrier phase and frequency for proper demodulation of data. These synchronizers play an even greater role when transmission is in burst mode. It is because that the receiver always asks for relock for separated burst, which transmits information from different users. Therefore, fast and efficient carrier synchronization schemes are highly needed. In the thesis, we studied various algorithms that are all fallen into the Maximum Likelihood estimation, and chose the proper ones that are suitable to burst-mode transmission. The chosen algorithms employ different recovery methods, from non-data-aided method to data-aided method, and from feedforward topology to feedback topology. The performances of the chosen algorithms are studied by both theoretical analysis and computer simulation. Their advantage and disadvantage are summarized and compared, such that the improved schemes are proposed to compensate their disadvantages, make use of their advantages, and obtain better performance.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Zhang, Yan
Pagination:xiv, 106 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Thesis Supervisor(s):Soleymani, Mohammad Reza
ID Code:1361
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:18
Last Modified:18 Jan 2018 17:16
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Back to top Back to top