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

An eigenvalue decomposition and interference cancellation array processing algorithm for low mobility CDMA communications

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)
Shang-Chieh Liu ; Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA ; Geraniotis, E.

We present a new beamforming algorithm which is based on eigenvalue decomposition and interference cancellation (EDIC) for application in low mobility DS/CDMA communication systems. Using the desired signature code and an orthogonal to it code, we can decompose the receiving signals into two subspaces: signal and interference. The EDIC beamformer can handle a large number of users with a small number of antenna elements and the weights can be blindly updated according to these two subspaces. A recursive algorithm with low computational complexity has been developed for IS-95 systems. In slow fading environments, we further reduce the computational complexity by down sampling the interference and by slowly tracking the desired channel response. Simulation results show that the new recursive algorithm reduces the computational complexity by 98% with a performance drop of 2 dB.

Published in:

Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on

Date of Conference:

16-18 April 1997

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.