F. Abdi, W. Cichalewski, W. Jalmuzna, A. Napieralski
{"title":"Novel ANC Simulation Based on VSSLMS Method for Reducing the Microphonics Effects in Cavities","authors":"F. Abdi, W. Cichalewski, W. Jalmuzna, A. Napieralski","doi":"10.23919/MIXDES52406.2021.9497598","DOIUrl":null,"url":null,"abstract":"Active noise control (ANC) and Narrowband ANC methods with a variable step size least mean square (VSSLMS) algorithm are simulated to reduce the microphonics effects in the cavities. Adaptive filter (the LMS algorithm in the ANC method and the Filtered-x-LMS (FxLMS) algorithm in the NANC method) identifies and estimates the system coefficients based on the changes in the detuning signal. Based on the simulation results, the proposed method has a higher tracking ability and faster convergence rate than the other methods and also low computational complexity.","PeriodicalId":375541,"journal":{"name":"2021 28th International Conference on Mixed Design of Integrated Circuits and System","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 28th International Conference on Mixed Design of Integrated Circuits and System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MIXDES52406.2021.9497598","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
Active noise control (ANC) and Narrowband ANC methods with a variable step size least mean square (VSSLMS) algorithm are simulated to reduce the microphonics effects in the cavities. Adaptive filter (the LMS algorithm in the ANC method and the Filtered-x-LMS (FxLMS) algorithm in the NANC method) identifies and estimates the system coefficients based on the changes in the detuning signal. Based on the simulation results, the proposed method has a higher tracking ability and faster convergence rate than the other methods and also low computational complexity.