Fine calibration of the GNSS channels by using a nonlinear model of the heteroscedasticity
Abstract
The goal of sensors (GNSS channels) calibration is twofold : i) to adjust the model of random sensor error (model of the heteroscedasticity) in order to get an optimal estimation of the measured parameters (user position) ; ii) to detect and remove systematic biases (drifts or structural errors) in the sensor outputs. It is important if the sensor outputs are processed by the least-squares (LS) or Kalman filter.