GyroData:

Path: SC/Sensor

% Typical gyro noise data.
 The gyro noise model is:

   y                  =  IntegratedRate    + nOutput
   dIntegratedRate/dt =  bias              + nRandomWalk
   dbias/dt           = -biasCoeff * (bias + nBiasDrift)
   bias(0)            =  mbias             + nBias

 The bias drift model is for short term drift and is modeled as 
 a Markov process. The random bias includes day to day variations.
--------------------------------------------------------------------------
   Form:
   [nRandomWalk,nBiasDrift,biasCoeff,nOutput,nBias,mBias] = GyroData (type,class)
--------------------------------------------------------------------------

   ------
   Inputs
   ------
   type            (1,:)   Type of gyro:
                               'SDG'      single dof mechanical
                               'DTG'      dry tuned gyro
                               'RLG'      ring laser
                               'HRG'      hemispherical resonating gyro
   class           (1,:)   Class of gyro. Class defaults to 'High'
                               'High'     High accuracy
                               'Medium'   Medium accuracy
                               'Low'      Low accuracy

   -------
   Outputs
   -------
   nRandomWalk     (1,1)    One sigma random walk  (rad/sec)
   nBiasDrift      (1,1)    One sigma bias drift   (rad/sec^2)
   biasCoeff       (1,1)    Bias coefficient       (1/sec)
   nOutput         (1,1)    One sigma output noise (rad) 
   nBias           (1,1)    One sigma bias error   (rad/sec)
   mBias           (1,1)    Mean bias              (rad/sec)

--------------------------------------------------------------------------

Children:

SC: Attitude/RW2SDev

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