Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

GPS/INS 초강결합 기법에 대한 UKF의 성능분석Performance Investigation of the Unscented Kalman Filterfor Ultra-tightly GPS/INS Integration

Authors
조영석심덕선양철관박진우
Issue Date
Aug-2007
Publisher
제어·로봇·시스템학회
Keywords
unscented Kalman filter; positioning; GPS/INS; ultra-tightly integration
Citation
제어.로봇.시스템학회 논문지, v.13, no.8, pp 817 - 823
Pages
7
Journal Title
제어.로봇.시스템학회 논문지
Volume
13
Number
8
Start Page
817
End Page
823
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/30430
ISSN
1976-5622
Abstract
GPS and INS can be integrated in 3 ways of loose, tight, and ultra-tight configuration. This paper investigates the performance of GPS/INS ultra-tightly integrated system when unscented Kalman filter(UKF) is adopted as well as extended Kalman filter(EKF). Covariance analysis is performed using UFK and EKF for tightly coupled and ultra-tightly coupled systems. Various trajectories such as straight, circle, S-shape, spiral are considered for the simulations of covariance analysis.
Files in This Item
Go to Link
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shim, Duk-Sun photo

Shim, Duk-Sun
창의ICT공과대학 (전자전기공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE