Coefficient extraction for MPM using LSE, ORLS and SLS applied to RF-PA modeling

Abstract

Three methods for extracting the behavioral modeling coefficients of the memory polynomial model are compared herein. The first one is the ordinary least square regression, which is widely used for adjusting model parameters; the second is the order recursive least squares, which is suitable for exploring the optimal nonlinearity order and memory depth by… (More)
DOI: 10.1109/ISCAS.2017.8050649

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