Czasopismo
2009
|
Vol. 44, No. 1
|
1--19
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
The conventional RAIM based on the least square algorithm of the residuals of the snapshot data can detect the single outlier with high probability, but it can miss the multiple outliers frequently. So, it invites a serious problem of the missed detection. We must clarify this problem, and develop a method to prevent the missed detection of the multiple outliers. In the present paper, a method to detect multiple outliers more correctly is discussed, and the numerical results seem much improved and appropriate.
Słowa kluczowe
Rocznik
Tom
Strony
1--19
Opis fizyczny
Bibliogr. 7 poz., rys., tab.
Twórcy
autor
- School of Naval Architecture and Ocean Engineering University of Ulsan Ulsan 680-749, Republic of Korea Tel: 82-52-259-2166 Fax: 82-52-259-2836, isshiki@dab.hi-ho.ne.jp
Bibliografia
- (1) Younes, A., Bakhache, B., Nikiforov, I. and Benhallem A., (1998), Sequential RAIM: Theory and application to Civil Aviation Needs, ION GPS 98.
- (2) Macabiau, C., Gerfault, B., Nikiforov, I., Fillatre, L., Roturier, B., Chatre, E., Raimondi, M. and Escher, A. C., (2005), RAIM Performance in presence of multiple range failures, ION NTM 2005.
- (3) Martini, I. and Hein, G. W., (2006), An integrity monitoring technique for multiple failures detection, IEEE/ION PLANS 2006.
- (4) Martini, I., Wolf, R. and Hein, G. W., (2006), Receiver integrity monitoring in case of multiple failures, ION GNSS 2006.
- (5) Hewitson, S., (2003), GNSS receiver autonomous integrity monitoring: A separability analysis, ION GPS/GNSS 2003, monitoring (RAIM) for multiple outliers.
- (6) Hewitson, S. and Wang, J., (2004), GNSS receiver autonomous integrity monitoring (RAIM) for multiple outliers.
- (7) Teunissen, P. J. G., (1998), Quality control and GPS, Chapter 7 in GPS for Geodesy, Edited by P. J. G. Teunissen and A. Kleusberg, Springer Verlag, 2nd edition.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-c4bd3da6-7d22-4329-8b97-4cfd0c89621e