@InProceedings{PardalKugaMora:2011:RoAsSi,
author = "Pardal, Paula C P M and Kuga, Helio Koiti and Moraes, Rodolpho
Vilhena de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and UNIFESP/SJC, Rua
Talim, 330, Vila Nair - CEP: 12231-280. S{\~a}o Jos{\'e} dos
Campos - SP, Brazil",
title = "Robust assessment between sigma point and extended Kalman filter
for orbit determination",
booktitle = "Proceedings...",
year = "2011",
pages = "1--14",
organization = "International Symposium on Space Flight Dynamics, 22. (ISSFD).",
publisher = "INPE",
address = "Sao Jos{\'e} dos Campos",
note = "{Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico.}",
keywords = "sigma point filter, extended Kalman filter, ORBIT DETERMINATION.",
abstract = "A comparison between the extended Kalman filter (EKF) and the
nonlinear sigma point Kalman filter (SPKF) for a real time
satellite orbit determination problem, using GPS measurements is
presented. Such comparison is based on testing the filters
robustness for degraded initial conditions. The main subjects for
the comparison between the estimators are convergence speed and
computational implementation complexity. Based on the analysis of
such criteria, the advantages and drawbacks of each estimator are
presented. In this work, the orbit of an artificial satellite is
determined using real data from a space borne Global Positioning
System (GPS) receiver. This is a fully nonlinear problem, with
respect to both the dynamics and measurements equations, in which
the disturbing forces are not easily modeled. The problem of orbit
determination consists essentially of estimating values that
completely specify the body trajectory in the space, processing a
set of measurements related to this body. In this orbit
determination problem the focus is to analyze each filter
convergence behavior in situations where the initial conditions
are inaccurate, introducing since small up to larger errors in the
initial accurate position conditions. Concomitantly another aim is
to know how such inaccuracies affect the estimators performance.",
conference-location = "Sao Jose dos Campos Sao Jose dos Campos",
conference-year = "28 Feb.– 4 Mar. 2011",
label = "lattes: 1786255724025154 2 PardalKugaMora:2011:RoAsSi",
language = "en",
organisation = "INPE; AEB",
ibi = "J8LNKAN8RW/39RQCFE",
url = "http://urlib.net/ibi/J8LNKAN8RW/39RQCFE",
targetfile = "S10_P2_ISSFD22_PF_046.pdf",
url = "http://www.issfd22.inpe.br/S10-Orbit.Determination-OD/S10_P2_ISSFD22_PF_046.pdf",
urlaccessdate = "21 maio 2024"
}