• English
    • Türkçe
  • English 
    • English
    • Türkçe
  • Login
View Item 
  •   DSpace Home
  • Araştırma Çıktıları / Scopus
  • Araştırma Çıktıları / Scopus
  • View Item
  •   DSpace Home
  • Araştırma Çıktıları / Scopus
  • Araştırma Çıktıları / Scopus
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Iterative channel estimation techniques for uplink MC-CDMA systems

Thumbnail
View/Open
Iterative Channel Estimation Techniques for Uplink MC-CDMA Systems.pdf (723.5Kb)
Date
2007
Author
Dogan, Hakan
Panayirci, Erdal
Cirpan, Hakan Ali
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. ©2007 IEEE.

Source

International Symposium on Signal Processing and Information Technology

Pages

302-306

URI

https://hdl.handle.net/20.500.12469/1623
https://doi.org/10.1109/ISSPIT.2007.4458126

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [321]

Keywords

Channel estimation
EM
Least square
Maximum likelihood
MC-CDMA systems
SAGE

Share


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access TypesThis CollectionBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access Types

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV