Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization

Authors:
Yahong Rosa Zheng;VíTor H. Nascimento
Affiliations:
Department of Electrical & Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA;Department of Electronic Systems Engineering, Univ. of São Paulo, São Paulo, Brazil
Venue:
Digital Signal Processing
Year:
2013

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Abstract

Two variable step-size adaptive algorithms using fractionally lower-order moment minimization are proposed for system identification in non-Gaussian interference environment. The two algorithms automatically adjust their step sizes and adapt the weight vector by minimizing the p-th moment of the a posteriori error, where p is the order with 1=