{"title":"高动态军舰ARPA系统跟踪模块增益参数优化","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":"{\"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}","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}
Optimization of the Gain Parameters in a Tracking Module for ARPA system on Board High Dynamic Warships
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