Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10252
Title: Newton-like minimum entropy equalization algorithm for APSK systems
Authors: Ali, A
Abrar, S
Zerguine, A
Nandi, AK
Keywords: Amplitude phase shift keying;Blind equalizer;Constant modulus algorithm;Newton's method;Recursive least squares algorithm;Tracking performance
Issue Date: 2014
Citation: Signal Processing, 2014, 101 pp. 74 - 86
Abstract: In this paper, we design and analyze a Newton-like blind equalization algorithm for the APSK system. Specifically, we exploit the principle of minimum entropy deconvolution and derive a blind equalization cost function for APSK signals and optimize it using Newton's method. We study and evaluate the steady-state excess mean square error performance of the proposed algorithm using the concept of energy conservation. Numerical results depict a significant performance enhancement for the proposed scheme over well established blind equalization algorithms. Further, the analytical excess mean square error of the proposed algorithm is verified with computer simulations and is found to be in good conformation. © 2014 Elsevier B.V.
Description: This article has been made available through the Brunel Open Access Publishing Fund.
URI: http://bura.brunel.ac.uk/handle/2438/10252
DOI: 10.1016/j.sigpro.2014.02.003
ISSN: 0165-1684
Appears in Collections:Brunel OA Publishing Fund
Dept of Electronic and Computer Engineering Research Papers

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