New Adaptive Compensator Robust to Memoryless Nonlinear Distortion

Oh Sang Kwon

doi:10.4236/iim.2014.61002

Abstract

In this paper, the new hybrid adaptive Volterra filter was proposed to be applied for compensating the nonlinear distortion of memoryless nonlinear systems with saturation characteristics. Through computer simulations as well as the analytical analysis, it could be shown that it is possible for both conventional Volterra filter and proposed Volterra filter, to be applied for linearizing the memoryless nonlinear system with nonlinear distortion. Also, the simulation results demonstrated that the proposed Volterra filter may have faster convergence speed and better capability of compensating the nonlinear distortion than the conventional Volterra filter.

Highlights

The linear filters have played a very popular role in the development of various signal processing techniques
A variety of workers have recognized the need for the nonlinear control system with less computation complexities and faster convergence speed and it may be developed in many applications [4,5,6,7]
A traveling wave tube (TWT) is selected as the nonlinear object model, which may be used in a satellite communication as a power amplifier [9]

Summary

Introduction

The linear filters have played a very popular role in the development of various signal processing techniques. A simple but highly pervasive type of nonlinearity is the saturation-type nonlinearity Trying to identify these types of systems using linear models can often give misleading results. The nonlinear filter may have more computation complexities and slower convergence speed than those of the linear system because it may use more coefficients than the nonlinear system. A variety of workers have recognized the need for the nonlinear control system with less computation complexities and faster convergence speed and it may be developed in many applications [4,5,6,7]. The new adaptive Volterra filter was proposed to be applied for compensating the nonlinear distortion of memoryless nonlinear systems with saturation. The simulation results demonstrated that the proposed hybrid filter may have faster convergence speed and better capability of compensating the nonlinear distortion than the conventional Volterra filter

Proposed Adaptive Nonlinear Compensator

Simulation Results

Conclusion