A simplified adaptive digital predistorter for a high power amplifier with memory effects based on direct learning architecture

This paper presents an adaptive Digital Predistorter (DPD) to handle the nonlinearity and memory challenges that effect transmitted signal in High Power Amplifier (HPA) system. The proposed scheme first handles by estimating reverse error, then obtained is processed FIR filter diminish effect. simulation results of method present a superior performance compared with state-of-the-art methods used compensating effects. These suggest approach more suitable transmit standard less error using traditional HPA.