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@InProceedings{GarciaKugaZana:2013:EfFiKa,
               author = "Garcia, Roberta Veloso and Kuga, Helio Koiti and Zanardi, Maria 
                         Cec{\'{\i}}lia Fran{\c{c}}a de Paula Santos",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Efici{\^e}ncia do Filtro de Kalman Unscented na 
                         estima{\c{c}}{\~a}o de atitude utilizando dados reais do 
                         sat{\'e}lite CBERS",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2241--2249",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The aim of this work is to compare the performance of the 
                         unscented Kalman filter (UKF) with the extended Kalman filter 
                         (EKF) in the attitude estimation nonlinear problems when the 
                         filters are subject to inaccurate initial conditions. For 
                         nonlinear systems the unscented Kalman filter uses a carefully 
                         selected set of sample points to more accurately map the 
                         probability distribution than the linearization of the standard 
                         extended Kalman filter, leading to faster convergence from 
                         inaccurate initial conditions in attitude estimation problems. In 
                         this study, the attitude of a satellite is estimated, simulating 
                         real time conditions using real data supplied by gyroscopes, 
                         infrared Earth sensors and digital Sun sensors. These sensors are 
                         on board the CBERS-2 satellite and the measurements were collected 
                         by the Satellite Control Centre of INPE. The satellite attitude is 
                         described by Euler angles, due to its easy geometric 
                         interpretation and the filter formulation is based on standard 
                         attitude-vector measurements using a gyro-based model for attitude 
                         propagation. Then by the degraded initial conditions it is 
                         possible to conclude that UKF is more efficient and accuracy than 
                         EKF. In relation with the process time, the UKF is competitive 
                         because although it demands a more time for the estimation 
                         process, the CPU time isnīt proportional to the generated 
                         sigma-points number. In the same way UKF can be applied in real 
                         time problem.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1456",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GLET",
                  url = "http://urlib.net/rep/3ERPFQRTRW34M/3E7GLET",
           targetfile = "p1456.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "24 jan. 2021"
}


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