By Topic

A semi-blind technique for MIMO channel matrix estimation

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)
Jagannatham, A. ; Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA ; Rao, B.D.

In this work we present a semi-blind algorithm for the estimation of a flat-fading MIMO channel matrix H. The algorithm is based on a decomposition of the channel matrix H as the product of a whitening matrix W and a unitary matrix Q. The whitening matrix can be estimated blindly from all received data. Several techniques are then suggested to estimate the optimum rotation matrix from training samples. Since it uses both blind and training data, the algorithm is semi-blind in nature. Theoretical results show that estimation of the channel matrix based on estimating only the Q matrix from pilot data can perform more efficiently than estimating H directly from the pilot data. However, performance of the technique depends on the accuracy with which W is estimated and is found to typically perform well in low SNR and fading environments.

Published in:

Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on

Date of Conference:

15-18 June 2003