IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Acoustics, Speech and Signal ... Help

Subspace-Based Blind Channel Estimation in DS-CDMA Systems with Unknown Wide-Sense Stationary Interference

Full Text Sign-In or Purchase

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

2 Author(s)
Zarifi, K. ; Commun. Syst. Group, Darmstadt Technol. Univ. ; Gershman, A.B.

A new blind subspace-based channel and signature waveform estimation technique is proposed for DS-CDMA communication systems operating in the presence of unknown wide-sense stationary interference. Unlike the existing algorithms, our technique requires single receive antenna and is applicable to the general case of arbitrary transmitted symbol constellations. Necessary and sufficient conditions for identifiability of the proposed technique are derived. Closed-form expressions for the mean-squared error (MSE) of the estimated channel are obtained and verified by means of simulations

Published in:
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:4 )

Date of Conference: 14-19 May 2006

Page(s):
IV
ISSN :
1520-6149
Print ISBN:
1-4244-0469-X
INSPEC Accession Number:
9209385
Conference Location :
Toulouse
Digital Object Identifier :
10.1109/ICASSP.2006.1660920
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.