Horizon group shift FIR filter: Alternative nonlinear filter using finite recent measurements
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pak, Jung Min | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Lim, Myo Taeg | - |
dc.contributor.author | Song, Moon Kyou | - |
dc.date.accessioned | 2021-09-05T03:38:04Z | - |
dc.date.available | 2021-09-05T03:38:04Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2014-11 | - |
dc.identifier.issn | 0263-2241 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/96994 | - |
dc.description.abstract | In finite impulse response (FIR) filtering using finite recent measurements, horizon size (window length) is an important parameter that influences estimation performance. In this paper, to improve the estimation performance of a nonlinear FIR filter, we propose an alternative nonlinear FIR filter called horizon group shift (HGS) FIR filter and adopt a novel method to manage horizon size. The HGS-FIR filter adjusts horizon size based on the likelihood of observation and achieves a significant performance improvement. We verified that the HGS-FIR filter exhibits excellent performance, exceeding that of existing nonlinear filters, including the extended Kalman filter, unscented Kalman filter, and particle filter. (C) 2014 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | LOCALIZATION | - |
dc.subject | MEMORY | - |
dc.subject | MODELS | - |
dc.title | Horizon group shift FIR filter: Alternative nonlinear filter using finite recent measurements | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.contributor.affiliatedAuthor | Lim, Myo Taeg | - |
dc.identifier.doi | 10.1016/j.measurement.2014.07.007 | - |
dc.identifier.scopusid | 2-s2.0-84906489207 | - |
dc.identifier.wosid | 000342468500004 | - |
dc.identifier.bibliographicCitation | MEASUREMENT, v.57, pp.33 - 45 | - |
dc.relation.isPartOf | MEASUREMENT | - |
dc.citation.title | MEASUREMENT | - |
dc.citation.volume | 57 | - |
dc.citation.startPage | 33 | - |
dc.citation.endPage | 45 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | LOCALIZATION | - |
dc.subject.keywordPlus | MEMORY | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | Horizon group shift | - |
dc.subject.keywordAuthor | Finite impulse response filter | - |
dc.subject.keywordAuthor | Nonlinear filter | - |
dc.subject.keywordAuthor | State estimation | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.