Homepage
 
Search
Ericsson Global
Robust and Efficient Parametric Linear Equalization 

Author(s):

Douglas Cairns, Gregory E. Bottomley and Tracy Fulghum

 

VTC 2009 Spring

 

Download document:
Robust and Efficient Parametric Linear Equalization (pdf)

Abstract:
As 3G DS-CDMA cellular systems evolve to higher data rates, linear equalization is being used to address intersymbol interference introduced by dispersive channels. When parametric designs are employed, elements of an impairment or data covariance matrix must be computed as part of equalizer weight calculation. The conventional approach is to express these elements in terms of path delays and path coefficients. This approach requires a significant amount of computation, and performance is sensitive to errors in the path delay estimates. In this paper, an alternative approach is developed, based on directly estimating net channel coefficients corresponding to an extended set of delays that includes the tap or finger delays of the equalizer. This avoids the need for path delay estimates, improving robustness. Also, the elements of the impairment or data covariance can be expressed in terms of efficiently computed convolutions of these net channel coefficients, even though these elements correspond to correlations of cyclostationary interference. Complexity estimates are used to show computational savings, and performance simulations are used to show gains in robustness.


Notice:
Copyright 2009 IEEE. Reprinted from VTC 2009 Spring. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Ericsson's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

In order to read PDF files, you need to have Adobe® Acrobat® Reader® installed in your computer. You can download the latest Acrobat® Reader® for free from Adobe's website.

Wireless