{"title":"RESEARCH OF THE ADAPTIVE FINITE-TIME SIGNAL FILTERING METHOD AND COMPARISON WITH THE ADAPTIVE KALMAN FILTERING","authors":"I. V. Svetlov, Y. P. Ivanov","doi":"10.31799/2077-5687-2021-2-9-14","DOIUrl":null,"url":null,"abstract":"The method of optimal characteristics, high stability and simplicity of the algorithm is presented. The method under consideration is compared with Kalman filtering. Cases of a priori uncertainty with unknown correlation functions of the noise and the useful signal are considered. Key words: finite-time filtering, Kalman filtering, a priori uncertainty.","PeriodicalId":329114,"journal":{"name":"System analysis and logistics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"System analysis and logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31799/2077-5687-2021-2-9-14","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
The method of optimal characteristics, high stability and simplicity of the algorithm is presented. The method under consideration is compared with Kalman filtering. Cases of a priori uncertainty with unknown correlation functions of the noise and the useful signal are considered. Key words: finite-time filtering, Kalman filtering, a priori uncertainty.
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