Identification and pre-distortion for high power amplifiers with memory

An identification method is proposed to estimate for the characteristics of high power amplifiers (HPA) with memory in orthogonal frequency division multiplexing (OFDM) communication systems. The Wiener-Hammerstein model (WHM) is adopted to describe the input-output relationship of unknown HPA and a polynomial model with memory is used to approximate the HPA expressed by WHM in base-band. Furthermore, the order and memory length of polynomial model are chosen by Akaike´s information criterion (AIC), and the RLS algorithm is used to estimate parameters of HPA in on-line manner. Finally, the effectiveness of the proposed identification method is validated by numerical simulation example.