In order to improve the efficiency of on-the-spot test and accuracy of the data, the authors proposed a new method to set up virtual noise sources based on the noise decay principle.

The fusion algorithm of multi-sensor measurement noise update estimate on out-of-sequence;

It is well known that the successful applications of the Kalman filter are dependent on whether the prior knowledge of the statistical characteristics of the measurement noise is known.

The ionospheric delay can be weakened by multi-frequency observations,but pseudorange errors such as multipath errors and observation noises are magnified to different degrees due to using multi-frequency methods.

The local geoid or gravity anomaly as an example is refined by the fusion of the simulated geoid height and gravity anomaly data,and the effects of observation noise level and non-stationary noise to the data fusion results are analyzed.

First analyzes the influence of observational noises about temporal correlation for Kalman filter,and gives a recursive formula of Kalman filtering according to linear unbiased minimum variance estimator criterion and a solution of data storage at the same time.

This paper analyses the influence of observational noises about temporal correlation for Kalman Filter firstly.

The research analysed the influence of observational noises about temporal correlation,and gives recursive formula of Kalman Filtering.