@Article{PardalKugaMora:2013:AnUnKa,
               author = "Pardal, Paula Cristiane Pinto Mesquita and Kuga, Helio Koiti and 
                         Moraes, Rodolpho Vilhena de",
          affiliation = "{Instituto de Ci{\^e}ncia e Tecnologia (ICT)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto de 
                         Ci{\^e}ncia e Tecnologia (ICT)}",
                title = "Analyzing the Unscented Kalman Filter Robustness for Orbit 
                         Determination through Global Positioning System Signals",
              journal = "Journal of Aerospace Technology and Management",
                 year = "2013",
               volume = "5",
               number = "4",
                pages = "395--408",
                 note = "{Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.} and Informa{\c{c}}{\~o}es Adicionais: 
                         JATM, V5, n4, pp. 395-408, Oct.-Dec., 2013.",
             keywords = "ORBIT DETERMINATION, non linear filtering, GPS measurements, sigma 
                         point filter, extended Kalman filter.",
             abstract = "The nonlinear unscented Kalman filter (UKF) is evaluated for the 
                         satellite orbit determination problem, using Global Positioning 
                         System (GPS) measurements. The  assessment is based on the 
                         robustness of the filter. The main subjects for the evaluation are 
                         convergence speed and dynamical model complexity. Such assessment 
                         is based on comparing the UKF results with the extended Kalman 
                         filter (EKF) results for the solution of the same problem. Based 
                         on the analysis of such criteria, the advantages and drawbacks of 
                         the implementations are presented. In this orbit determination 
                         problem, the focus is to analyze UKF convergence behavior using 
                         different sampling rates for the GPS signals, where scattering of 
                         measurements will be taken into account. A second aim is to 
                         evaluate how the dynamical model complexity affects the 
                         performance of the estimators in such adverse situation. After 
                         solving the real-time satellite orbit determination problem using 
                         actual GPS measurements, through EKF and UKF algorithms, the 
                         results obtained are compared in computational terms such as 
                         complexity, convergence, and accuracy.",
                  doi = "10.5028/jatm.v5i4.252",
                  url = "http://dx.doi.org/10.5028/jatm.v5i4.252",
                 issn = "1984-9648",
                label = "lattes: 1786255724025154 2 PardalKugaMora:2013:AnUnKa",
             language = "pt",
        urlaccessdate = "21 maio 2024"
}