By Topic

QR decomposition based blind channel identification and equalization

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

2 Author(s)
Xiaohua Li ; Dept. of ECECS, Cincinnati Univ., OH, USA ; Fan, H.

Most eigenstructure-based blind channel identification and equalization algorithms with second-order statistics need SVD or EVD of the correlation matrix of the output signal. We address a new algorithm based on QR factorization of the output data directly. Compared with existing algorithms in the same category, our algorithm is computationally more efficient and numerically (potentially) more robust. Numerical simulations demonstrate the performance of the proposed algorithms.

Published in:

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on  (Volume:2 )

Date of Conference:

1-4 Nov. 1998