@InProceedings{LeiteKugaLeit:2017:CoTwMe,
               author = "Leite, Leonardo Kameyama de Castro and Kuga, H{\'e}lio Koiti and 
                         Leite Filho, Waldemar de Castro",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Comparing two methods of coarse self alignment using high accuracy 
                         sins",
            booktitle = "Proceedings...",
                 year = "2017",
         organization = "Iberian Latin-American Congress on Computational Methods in 
                         Engineering, 38. (CILAMCE)",
             keywords = "Aided Navigation, Inertial Navigation, Coarse Alignment.",
             abstract = "Inertial alignment is a classical problem existing when one needs 
                         to bootstrap an inertial navigation system (INS) based on inertial 
                         sensors such as gyros and accelerometers. When no external aid is 
                         present one needs to provide the INS with some self-starting 
                         procedures. This study performs an investigation on the 
                         performance of two methods of coarse self-alignment for Strap-down 
                         Inertial Navigation Systems (SINS). The probably bestknown 
                         standard method TRIAD is compared with a new variant method of 
                         coarse selfalignment known as ON-TRIAD (Felipe O. Oliveira et al., 
                         2016). The performance assessment between the two methods is given 
                         by the comparison between the Euler angles yielded by each method, 
                         using actual data from relatively high accuracy SINS (aerospace 
                         grade). Using the initial static part of high sampling data, both 
                         methods are exercised and the Euler angles are computed several 
                         times. It was also analyzed the influence on the accuracy of a 
                         simple pre-processing to identify gross outliers, with little 
                         additional computer burden. In short, this work describes the 
                         results of both procedures depicting the influence of different 
                         mathematical tools on the data processing, accounting for the 
                         measurement quality as well.",
  conference-location = "Florian{\'o}polis, SC",
      conference-year = "5-8 nov.",
             language = "en",
           targetfile = "leite_comparing.pdf",
        urlaccessdate = "19 abr. 2024"
}