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@Article{GarciaMatoKugaZana:2016:UnKaFi,
               author = "Garcia, Roberta Veloso and Matos, Nicholas de Freitas Oliveira and 
                         Kuga, Helio Koiti and Zanardi, Maria Cecilia",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade Estadual 
                         Paulista (UNESP)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Universidade Federal do ABC (UFABC)}",
                title = "Unscented Kalman filter for spacecraft attitude estimation using 
                         modified Rodrigues parameters and real data",
              journal = "Computational \& Applied Mathematics",
                 year = "2016",
               volume = "35",
               number = "3",
                pages = "835--846",
                month = "Oct.",
             keywords = "Attitude estimation, Real data, Unscented Kalman filter, 
                         Quaternion, Modified Rodrigues parameters.",
             abstract = "In this paper, a sigma-point Kalman filter formulation for 
                         attitude estimation is derived using the modified Rodrigues 
                         parameters and real data of attitude sensors. The unscented Kalman 
                         filter algorithm is used for attitude estimation and the 
                         gyro-based model is considered for attitude propagation. In this 
                         study, the attitude of satellite is estimated using real data 
                         supplied by gyros, Earth sensors and Sun sensors that are on board 
                         of the CBERS-2 (China Brazil Earth Resources Satellite). The 
                         results show that even with a sparse set of measures, the UKF with 
                         MRP shows results similar to those obtained when directly uses the 
                         Euler angles.",
                  doi = "10.1007/s40314-015-0269-5",
                  url = "http://dx.doi.org/10.1007/s40314-015-0269-5",
                 issn = "2238-3603",
             language = "en",
           targetfile = "Garcia_uns.pdf",
        urlaccessdate = "23 jan. 2021"
}


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