{"title":"A fast way for approximation of nonlinear distortion of power amplifiers","authors":"I. Kashchenko","doi":"10.1109/DYNAMICS.2016.7819019","DOIUrl":null,"url":null,"abstract":"This paper presents one way to fast approximation of nonlinear distortions in power amplifiers. As a basis, a way to take the method of piecewise linear interpolation error minimization of the least squares method, which applied a fast iterative algorithm for solving linear systems. In comparison with known methods it is shown that the proposed method requires less time to obtains the results of approximation of nonlinear distortions. The amount of time required for the solution is reduced in 2–3 times in comparison with other methods (direct solution with LMS, polynomial approximation) while maintaining the accuracy of the solution.","PeriodicalId":293543,"journal":{"name":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Dynamics of Systems, Mechanisms and Machines (Dynamics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYNAMICS.2016.7819019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents one way to fast approximation of nonlinear distortions in power amplifiers. As a basis, a way to take the method of piecewise linear interpolation error minimization of the least squares method, which applied a fast iterative algorithm for solving linear systems. In comparison with known methods it is shown that the proposed method requires less time to obtains the results of approximation of nonlinear distortions. The amount of time required for the solution is reduced in 2–3 times in comparison with other methods (direct solution with LMS, polynomial approximation) while maintaining the accuracy of the solution.