By Topic

Subspace tracking based blind multiuser detection: a maximum likelihood estimation approach

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
$33 $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)
Wang Neng ; Dept. of Electr. & Comput. Eng., Queen's Univ., Kingston, Ont., Canada ; Zhu Weiping ; Zheng Baoyu

A blind maximum likelihood multiuser detection scheme for DS-CDMA systems is proposed, based on signal subspace tracking. Different from conventional blind detection methods, we investigate the detection problem from the perspective of user's parameter estimation. The proposed scheme uses efficient subspace tracking algorithms and yields better performance and lower computational complexity in contrast to some of the existing detection approaches. A simulation example is given to compare the proposed method and some of the methods in literature

Published in:

Communication Technology Proceedings, 2000. WCC - ICCT 2000. International Conference on  (Volume:2 )

Date of Conference: