Cart (Loading....) | Create Account
Close category search window
 

Finite-alphabet and decision-feedback based channel estimation for space-time coded OFDM systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zhigang Chen ; Sch. of Electron. & Inf. Eng., Xi''an Jiaotong Univ. ; Taiyi Zhang ; Zhengwei Gong

A novel blind channel estimation scheme is presented for space-time coded OFDM (STC-OFDM) systems. This scheme is composed of coarse channel estimation by exploiting the finite-alphabet property of information signals and fine channel estimation by using decision-directed method, which employs the priori knowledge of the transmitted signals other than the finite-alphabet property of mapping constellation. At the cost of a little more computational complexity, it achieves better performance than the competitive one. The scheme is tested with simulations and also compared with the subspace-based channel estimation

Published in:

Mobile Future, 2006 and the Symposium on Trends in Communications. SympoTIC '06. Joint IST Workshop on

Date of Conference:

24-27 June 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.