@Article{reinstein-pe2011,
  IS = { zkontrolovano 01 Aug 2011 },
  UPDATE  = { 2011-08-01 },
  author =     {Reinstein, Michal},
  language =   {English},
  title =      {Evaluation of Fine Alignment Algorithm for Inertial Navigation},
  c_title =    {Vyhodnocen{\' \i} algoritmu p{\v r}esn{\' e}ho sesouhlasen{\' \i}
                pro inerci{\' a}ln{\' \i} navigaci},
  year =       {2011},
  month =      {July},
  pages =      {255-258},
  journal =    {Przeglad Elektrotechniczny},
  publisher =  {SIGMA NOT},
  address =    {Warsaw, Poland},
  issn =       {0033-2097},
  volume =     {7},
  number =     {87},
  annote =     {This paper describes results obtained during
   evaluation of a fine alignment algorithm for inertial
   navigation. The fine alignment algorithm is based on a full-state
   error model for extended Kalman filter and its purpose is to
   estimate random errors in accelerometers and angular rate sensors
   signals to improve the precision of determination of initial
   attitude angles. Precise determination of initial attitude is
   important in inertial navigation, since it is one of the most
   crucial sources of error during inertial data integration, which is
   performed to obtain velocity and position information.},
  keywords =   {extended Kalman filter, inertial navigation, initial alignment},
  project =    {MSM6840770015},
}