Radar Communication System Recalibration using DNN-based Unscented Kalman Filter Modeling
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nwadiugwu, Williams-Paul | - |
dc.contributor.author | Kim, Dong-Seong | - |
dc.date.accessioned | 2023-04-14T06:40:05Z | - |
dc.date.available | 2023-04-14T06:40:05Z | - |
dc.date.created | 2023-03-27 | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 2163-0771 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21574 | - |
dc.description.abstract | In typical air traffic control (ATC) scenario where it is apparently challenging to deploy aircraft for special missions as reconnaissance and surveillance, a proposed ACD-UKF model becomes suitable especially where operational flexibility and without manual aircraft-turning are prioritized objectives. In this paper, novel deep neural network model (DNN) enhanced accurate continuous-discrete unscented Kalman filtering (ACDUKF) model for a radar's ordinary differential equation (ODE) solver system navigation tool is presented. The ODE solver system essentially works to control radar navigation parameters with-respect-to (w.r.t) global error control, monitoring metrics and tracking capabilities. With the proposed DNN scheme, limitations resulting from matrix factorization are addressed. A seven-dimensional (7-D) radar tracking drawback in constrained condition is mirrored, allowing the deployed aircraft to conduct supervised turns using the proposed ACD-UKF model. Performance evaluation was then conducted where real-time factors such as the system's outage thresholds, network sum-rate and yaw differences for the global navigation satellite system (GNSS) propelled aircraft radar tracker data-set, in stationary and in accelerating positions were trained and validated using the proposed DNN model. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Radar Communication System Recalibration using DNN-based Unscented Kalman Filter Modeling | - |
dc.type | Conference | - |
dc.contributor.affiliatedAuthor | Nwadiugwu, Williams-Paul | - |
dc.contributor.affiliatedAuthor | Kim, Dong-Seong | - |
dc.identifier.scopusid | 2-s2.0-85143074068 | - |
dc.identifier.wosid | 000918854200016 | - |
dc.identifier.bibliographicCitation | 27th Asia-Pacific Conference on Communications (APCC) - Creating Innovative Communication Technologies for Post-Pandemic Era, pp.89 - 93 | - |
dc.relation.isPartOf | 27th Asia-Pacific Conference on Communications (APCC) - Creating Innovative Communication Technologies for Post-Pandemic Era | - |
dc.relation.isPartOf | 2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA | - |
dc.citation.title | 27th Asia-Pacific Conference on Communications (APCC) - Creating Innovative Communication Technologies for Post-Pandemic Era | - |
dc.citation.startPage | 89 | - |
dc.citation.endPage | 93 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | SOUTH KOREA | - |
dc.citation.conferenceDate | 2022-10-19 | - |
dc.type.rims | CONF | - |
dc.description.journalClass | 1 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
350-27, Gumi-daero, Gumi-si, Gyeongsangbuk-do, Republic of Korea (39253)054-478-7170
COPYRIGHT 2020 Kumoh 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.