{"title":"Application of a Variable Step Size Adaptive Equalization Algorithm","authors":"Xi Li, Ma Cheng, Li Kai","doi":"10.1109/icicn52636.2021.9673957","DOIUrl":null,"url":null,"abstract":"In order to alleviate the influence of multi-path effect and noise caused by complex flight test environment on telemetry signal reception, a variable step size adaptive equalization algorithm is proposed in this paper. Based on the GSVSLMS algorithm, the algorithm improves the anti-noise performance of the algorithm by using the correlation value of the error signal at the adjacent time to control the change of the step size, and makes the parameters that affect the step size change with the changing of the error signal, so as to alleviate the contradiction between the convergence speed and the steady-state accuracy of the constant parameters. Compared with SVSLMS and G-SVSLMS, the proposed algorithm improves the convergence speed and steady-state accuracy, and has a certain anti noise performance, which proves that the proposed algorithm is effective and feasible.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673957","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
In order to alleviate the influence of multi-path effect and noise caused by complex flight test environment on telemetry signal reception, a variable step size adaptive equalization algorithm is proposed in this paper. Based on the GSVSLMS algorithm, the algorithm improves the anti-noise performance of the algorithm by using the correlation value of the error signal at the adjacent time to control the change of the step size, and makes the parameters that affect the step size change with the changing of the error signal, so as to alleviate the contradiction between the convergence speed and the steady-state accuracy of the constant parameters. Compared with SVSLMS and G-SVSLMS, the proposed algorithm improves the convergence speed and steady-state accuracy, and has a certain anti noise performance, which proves that the proposed algorithm is effective and feasible.