Improved Assessment of HPA by Using Volterra Series and FIR Filter

Abstract

Nonlinearity and memory effects are huge challenges for traditional High-Power Amplifier (HPA), since they cause a noisy transmitted signal and accumulated error, which eventually reduce the efficiency of the HPA. This paper proposes a new approach to handle these challenges, we utilized a standard Volterra Filter to deals with the nonlinearity and memory effect, in addition, we included FIR filter to further improve the reduction of memory distortion. The simulation results of the proposed method overcome the other methods in terms of accuracy and accumulated error. These results suggest that our method is quite appropriate for traditional HPA for practical applications that suffer from such distortions.