Performance Analysis of LMS Filter for SSPA Linearization in Different Modulation Conditions

TL;DR

This paper evaluates the effectiveness of LMS filters in estimating errors for SSPA linearization across various digital modulation schemes, focusing on ACP reduction and non-linearity mitigation using MATLAB simulations.

Contribution

It provides a detailed analysis of LMS filter performance in error estimation for SSPA linearization under different modulation conditions, which is a novel application.

Findings

LMS filter effectively estimates errors in SSPA linearization.

ACP is significantly reduced across various modulation schemes.

Memoryless non-linearity is effectively mitigated by the LMS filter.

Abstract

The SSPA has wide application in Communication system, but its high output power varies due to its non linear gain. Pre-distortion method plays major role in power amplifier linearization. Polynomial is one of the methods used. The error estimation in Polynomial method is carried out by LMS Filter. Our main work is to analysis the error estimation performance of the LMS Filter for the Solid state power amplifiers (SSPA) in different modulation conditions. Here we are calculating the ACP and analyzing how effectively the memoryless non linearity has been reduced for all digital modulation techniques. All the analysis and results are taken using Matlab software.