By Topic

Robust estimation of signal and interference power in rayleigh fading channels

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)
N. Lashkarian ; Div. of DSP, Xilinx Inc., San Jose, CA ; K. N. Toussi

This paper deals with the problem of signal and interference power estimation in communication over wireless fading channels. In this work, a new class of estimators for joint estimation of signal and Gaussian interference variance is proposed. Our study includes developing a unified framework that covers the design and performance analysis of the estimators. The estimators addressed in this paper, namely maximum likelihood, minimum variance unbiased, best linear unbiased and sub-space estimators, require knowledge of eigenvectors and eigenvalues of the channel autocorrelation matrix. To relax this requirement, a tracking mechanism for least-squares estimation of the channel eigen-space is devised. Several aspects of the statistical characteristics of the resulting estimators are presented. As a salient feature, the proposed methods are suitably applicable to estimation of signal and interference power in wideband code division multiple access (WCDMA) used in third generation (3G) mobile wireless communication systems

Published in:

IEEE Transactions on Wireless Communications  (Volume:5 ,  Issue: 10 )