{"title":"Optimization of the Gain Parameters in a Tracking Module for ARPA system on Board High Dynamic Warships","authors":"B. Pan, Anne Njonjo, Tae-Gweon Jeong","doi":"10.5394/KINPR.2016.40.5.241","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to determine the optimal values of the gain parameters used in the tracking module for a highly dynamic warship. The algorithm of the tracking module uses the -- filter to compute accurate estimates and update the state variables, that is, positions, velocity and acceleration. The filtering coefficients , and are determined from set values of the damping parameter, . Optimization is achieved by plotting a range of the damping parameter against the corresponding residual error and then selecting the best value of ξ with the minimum residual error. Optimal values of the smoothing coefficients are subsequently computed from the selected damping parameter, . Key word : Tracking module, -- filter, optimization, smoothing, prediction, state variables, residual error †Corresponding Author: tgjeong@kmou.ac.kr 051)410-4246 * Representing Author: pbf9527@gmail.com ** njonjoann@gmail.com","PeriodicalId":16242,"journal":{"name":"Journal of Korean navigation and port research","volume":"3 1","pages":"241-247"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean navigation and port research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5394/KINPR.2016.40.5.241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The purpose of this paper is to determine the optimal values of the gain parameters used in the tracking module for a highly dynamic warship. The algorithm of the tracking module uses the -- filter to compute accurate estimates and update the state variables, that is, positions, velocity and acceleration. The filtering coefficients , and are determined from set values of the damping parameter, . Optimization is achieved by plotting a range of the damping parameter against the corresponding residual error and then selecting the best value of ξ with the minimum residual error. Optimal values of the smoothing coefficients are subsequently computed from the selected damping parameter, . Key word : Tracking module, -- filter, optimization, smoothing, prediction, state variables, residual error †Corresponding Author: tgjeong@kmou.ac.kr 051)410-4246 * Representing Author: pbf9527@gmail.com ** njonjoann@gmail.com