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    Abstract
2013 (Vol. 6, Issue: 13)
Article Information:

Square Root Extended Kernel Recursive Least Squares Algorithm for Nonlinear Channel Equalization

Bilal Shoaib, I.M. Qureshi, Ihsan ul Haq and Shahid Mehmood
Corresponding Author:  Bilal Shoaib 

Key words:  Channel equalization, cholesky decomposition, Ex-kRLS, square root filtering, , ,
Vol. 6 , (13): 2423-2428
Submitted Accepted Published
December 17, 2012 January 17, 2013 August 05, 2013
Abstract:

This study presents a square root version of extended kernel recursive least square algorithm. Basically main idea is to overcome the divergence phenomena arise in the computation of weights of the extended kernel recursive least squares algorithm. Numerically stable givens orthogonal transformations are used to obtain the next iteration of the algorithm. The usefulness of the proposed algorithm is illustrated by discussing its application on the nonlinear multipath fading channel equalization based on Rayleigh distribution. Experiments are performed on slow fading Rayleigh channel with scattered signals
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  Cite this Reference:
Bilal Shoaib, I.M. Qureshi, Ihsan ul Haq and Shahid Mehmood, 2013. Square Root Extended Kernel Recursive Least Squares Algorithm for Nonlinear Channel Equalization.  Research Journal of Applied Sciences, Engineering and Technology, 6(13): 2423-2428.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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