Abstract:

On the basis of adaptive fitting method which is based on the existing mobile window function model and the stochastic model system error, a random weighting fitting method for both the systematic errors and covariance matrices of kinematics navigation model errors is presented by using moving windows. The random weighting estimation for covariance matrices of predicted states are given within the same window; the covariance matrices of the modified predicted states are also estimated. The predicted states are then modified. It is shown by the calculation and simulation results that the random weighting estimation algorithm can effectively resist the influence of the systematic errors on the estimated states of navigation, and the performance is superior to the traditional method without random weighting estimation algorithm.