On the constrained stochastic gradient algorithm: model, performance, and improved version

Authors:
Javier Ernesto Kolodziej;Orlando José Tobias;Rui Seara;Dennis R. Morgan
Affiliations:
LINSE-Circuits and Signal Processing Laboratory, Department of Electrical Engineering, Federal University of Santa Catarina, SC, Brazil;LINSE-Circuits and Signal Processing Laboratory, Department of Electrical Engineering, Federal University of Santa Catarina, SC, Brazil;LINSE-Circuits and Signal Processing Laboratory, Department of Electrical Engineering, Federal University of Santa Catarina, SC, Brazil;Bell Laboratories, Alcatel-Lucent, NJ
Venue:
IEEE Transactions on Signal Processing
Year:
2009

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Abstract

This paper discusses the constrained stochastic gradient (CSG) algorithm used for controlling antenna arrays, aiming to maximize the signal-to-interference-plus-noise ratio (SINR) in mobile communications. Firstly, analytical expressions for the first moment of the weight vector and the SINR characteristic of the standard CSG algorithm are derived for two interferer signals, considering small step-size conditions and assuming Gaussian signal, interference, and noise. From these model expressions, the CSG algorithm performance is assessed, which predicts undesired behavior (termed here unbalanced behavior, pertaining to an unbalance between maximizing signal power and minimizing interference power) when one or more interference angles-of-arrival are close to the signal angle-of-arrival and the angle-of-arrival spreads of the involved signals are small. Finally, by using the model expressions, an improved CSG (ICSG) algorithm is proposed to compensate the unbalanced behavior of the standard CSG algorithm. The accuracy of the proposed model and the effectiveness of the modified algorithm are assessed through numerical simulations.