Three dimensional tracking of a maneuvering emitter utilizing doppler-bearing measurements of a constant velocity observer
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J. | - |
dc.date.accessioned | 2021-10-12T08:42:12Z | - |
dc.date.available | 2021-10-12T08:42:12Z | - |
dc.date.created | 2021-10-08 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.issn | 0165-1684 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16251 | - |
dc.description.abstract | This manuscript handles a 3-D tracking problem, in which a 3-D observer with a constant velocity estimates the emitter state (position and velocity) while measuring the emitter's elevation, azimuth angle, and doppler frequency. Conventional tracking filters are built assuming a constant velocity emitter, thus have difficulty in tracking a maneuvering emitter. This manuscript introduces the filter restart approach for tracking a maneuvering emitter in 3-D environments. As far as we know, this manuscript is novel in 3-D doppler-bearing problems so that a constant velocity observer can track a maneuvering emitter with zigzag trajectories. This paper is unique in presenting the observability analysis of 3-D doppler-bearing problems. The performance of the proposed tracking filter is verified by comparing it with 3-D Interacting Multiple Model Kalman filters under MATLAB simulations. © 2021 Elsevier B.V. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier B.V. | - |
dc.subject | Kalman filters | - |
dc.subject | MATLAB | - |
dc.subject | Target tracking | - |
dc.subject | 3-D dopple-bearing problem | - |
dc.subject | Constant velocities | - |
dc.subject | Doppler | - |
dc.subject | Doppler-bearing tracking | - |
dc.subject | Maneuvering emitter | - |
dc.subject | Maneuvering emitter tracking | - |
dc.subject | Targets tracking | - |
dc.subject | Three-dimensional tracking | - |
dc.subject | Tracking filter | - |
dc.subject | Velocity observers | - |
dc.subject | Velocity | - |
dc.title | Three dimensional tracking of a maneuvering emitter utilizing doppler-bearing measurements of a constant velocity observer | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, J. | - |
dc.identifier.doi | 10.1016/j.sigpro.2021.108246 | - |
dc.identifier.scopusid | 2-s2.0-85111212761 | - |
dc.identifier.wosid | 000700591200007 | - |
dc.identifier.bibliographicCitation | Signal Processing, v.189 | - |
dc.relation.isPartOf | Signal Processing | - |
dc.citation.title | Signal Processing | - |
dc.citation.volume | 189 | - |
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.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | Kalman filters | - |
dc.subject.keywordPlus | MATLAB | - |
dc.subject.keywordPlus | Target tracking | - |
dc.subject.keywordPlus | 3-D dopple-bearing problem | - |
dc.subject.keywordPlus | Constant velocities | - |
dc.subject.keywordPlus | Doppler | - |
dc.subject.keywordPlus | Doppler-bearing tracking | - |
dc.subject.keywordPlus | Maneuvering emitter | - |
dc.subject.keywordPlus | Maneuvering emitter tracking | - |
dc.subject.keywordPlus | Targets tracking | - |
dc.subject.keywordPlus | Three-dimensional tracking | - |
dc.subject.keywordPlus | Tracking filter | - |
dc.subject.keywordPlus | Velocity observers | - |
dc.subject.keywordPlus | Velocity | - |
dc.subject.keywordAuthor | 3-D Doppler-bearing problems | - |
dc.subject.keywordAuthor | Doppler-bearing tracking | - |
dc.subject.keywordAuthor | Kalman filter | - |
dc.subject.keywordAuthor | Maneuvering emitter tracking | - |
dc.subject.keywordAuthor | Target tracking | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK 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.