By Topic

Source correlation compensation for blind channel identification based on second-order statistics

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)
Y. Hua ; Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia ; H. Yang ; W. Qiu

Presents a source correlation compensation approach for the blind channel identification method proposed by Tong et al. [1991, 1994]. Instead of assuming independent and identically distributed (i.i.d.) source symbols as assumed by Tong et al., the present authors consider the case where each source symbol is weakly correlated to its nearest neighbors with an unknown correlation coefficient. They show how Tong's method can be simply modified so that the unknown correlation coefficient can be estimated and then compensated, which leads to an improved performance.<>

Published in:

IEEE Signal Processing Letters  (Volume:1 ,  Issue: 8 )