@inproceedings{bda71e5896b54696b4010636776925e5,
title = "Iterative channel estimation techniques for uplink MC-CDMA systems",
abstract = "In this work, maximum likelihood (ML) channel estimation for uplink multicarrier code-division multiple-access (MC-CDMA) systems is considered in the presence of frequency fading channel. The expectation-maximization (EM)- and a space-alternating generalized expectation-maximization (SAGE) algorithm are introduced to avoid matrix inversion for the ML channel estimation problem. We compare the both algorithms in terms of the number of used iteration and show that the proposed algorithms converge the same performance of the ML estimator as the increasing number of iterations.",
keywords = "Channel estimation, EM, Least square, Maximum likelihood, MC-CDMA systems, SAGE",
author = "Hakan Doǧan and Erdal Panayirci and {\c C}irpan, {Hakan A.}",
year = "2007",
doi = "10.1109/ISSPIT.2007.4458126",
language = "English",
isbn = "9781424418350",
series = "ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology",
pages = "302--306",
booktitle = "ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology",
note = "ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology ; Conference date: 15-12-2007 Through 18-12-2007",
}