@InProceedings{SilvaGaPaKuZaBa:2022:AtEsUs,
               author = "Silva, William and Garcia, Roberta and Pardal, Paula and Kuga, 
                         H{\'e}lio Koiti and Zanardi, Maria and Baroni, Leandro",
          affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual Paulista (UNESP)} and {Universidade Federal 
                         do ABC (UFABC)}",
                title = "Attitude estimation using extended h-infinity particle filter 
                         applied to China-Brazil Earth Resource Satellilte-4",
                 year = "2022",
         organization = "International Astronautical Congress, 73.",
            publisher = "IAF",
             abstract = "In this resource, a comparison is made between the Extended 
                         H-Infinity Particle Filter (EHInfPF) and the Particle Filter (PF) 
                         both applied to attitude estimation using simulated orbit and 
                         attitude measurement data for CBERS-4 (China Brazil Earth 
                         Resources Satellite 4) recently in operation. A common problem 
                         that often occurs with the particulate filter (PF) is the sample 
                         impoverishment. Using a small number of particles, at some point 
                         after resampling, the particles will mostly collapse towards the 
                         same value. Increasing the number of N particles can solve the 
                         problem but will increase the processing time. There are other 
                         smarter ways to deal with this sample impoverishment problem, but 
                         herein one proposes to use an extension of the H-Infinity linear 
                         filter for the nonlinear case of attitude estimation with 
                         non-linearity in both the dynamics and the measurement model. The 
                         aim is to highlight and magnify the properties of the H-Infinity 
                         filter in terms of its favorable characteristics. In the EHInfPF 
                         the nature (dynamics and noises) is assumed to be perverse and 
                         actively seeks to degrade our state estimate as much as possible, 
                         but the EHInfPF deals with it aiming ultimately at robustness 
                         using a reduce number of particles for the state estimation. The 
                         dynamic attitude model is described by quaternions and the 
                         available attitude sensors using for attitude estimation are two 
                         Digital Sun Sensors (DSS) with nonlinear functions of roll, pitch, 
                         and yaw attitude angles; two Infrared Earth Sensor (IRES) with 
                         direct measurements of roll and pitch angles; and a triad of 
                         mechanical gyroscopes that provide direct incremental angles or 
                         angular velocities. The results for attitude estimation show that 
                         it is possible to achieve precision in determining attitudes 
                         within the prescribed requirements using the EHInfPF, with lower 
                         computational cost and with a smaller number of particles when 
                         compared to the standard particle filter.",
  conference-location = "Paris, France",
      conference-year = "18-22 Sept. 2022",
             language = "en",
           targetfile = "IAC-22,C1,2,2,x67915.brief.pdf",
        urlaccessdate = "11 maio 2024"
}