Modeling of low noise amplifier based on volterra series with recursive least square algorithm

The low noise amplifier (LNA) is a significant device in RF front-end. In this paper, a straight and efficient modeling method for LNA based on the Volterra series with recursive least squares (RLS) algorithm is proposed. Instead of calculating the high nonlinearity order of Volterra kernels, the proposed method extracts the first three order Volterra kernels characterizing the memory effect to construct a model of LNA, which is measured and simulated by the proposed method, and a good agreement is confirmed.