Design and Modeling of RF Power Amplifiers with Radial Basis Function Artificial Neural Networks

Ali Reza,Sobhan Roshani

doi:10.14569/ijacsa.2016.070629

Abstract

A radial basis function (RBF) artificial neural network model for a designed high efficiency radio frequency class-F power amplifier (PA) is presented in this paper. The presented amplifier is designed at 1.8 GHz operating frequency with 12 dB of gain and 36 dBm of 1dB output compression point. The obtained power added efficiency (PAE) for the presented PA is 76% under 26 dBm input power. The proposed RBF model uses input and DC power of the PA as inputs variables and considers output power as the output variable. The presented RBF network models the designed class-F PA as a block, which could be applied in circuit design. The presented model could be used to model any RF power amplifier. The obtained results show a good agreement between real data and predicted values by RBF model. The results clearly show that the presented RBF network is more precise than multilayer perceptron (MLP) model. According to the results, better than 84% and 92% improvement is achieved in MAE and RMSE, respectively

Highlights

power amplifier (PA) are important elements, in any communication system, which consume a lot of power
Class-F PAs have become very popular in switching mode amplifiers, because of their high efficiency and output capability [3,4,5]
A low voltage microwave LNA with operating frequency of 2.45 GHz is modeled in [13]. In this approach multilayer perceptron (MLP), radial basis function (RBF) and adaptive neurofuzzy inference system (ANFIS) models are investigated and the small signal parameters are considered as the input of the networks

Summary

Sobhan Roshani*

Young Researchers and Elite Club, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran. Abstract—A radial basis function (RBF) artificial neural network model for a designed high efficiency radio frequency class-F power amplifier (PA) is presented in this paper. The presented amplifier is designed at 1.8 GHz operating frequency with 12 dB of gain and 36 dBm of 1dB output compression point. The obtained power added efficiency (PAE) for the presented PA is 76% under 26 dBm input power. The presented RBF network models the designed class-F PA as a block, which could be applied in circuit design. The presented model could be used to model any RF power amplifier. The obtained results show a good agreement between real data and predicted values by RBF model. The results clearly show that the presented RBF network is more precise than multilayer perceptron (MLP) model.

INTRODUCTION

DESIGN OF POWER AMPLIFIER

Active Device

VGG VDD

Findings

Real values