Study of LAMBDA Method Based on KALMAN Filter

The treatment of static GPS data by use of the Classic Least Square method needs to calculate all the integral adjustments which is blamed for its inefficient velocity and poor efficiency of the computation. The method of KALMAN filter could immensely decrease the data memory space, and improve the computational efficiency; through experimental analysis, it is proven that the KALMAN filter method can well replace the method to seek the float solution of integer ambiguity, thus can greatly enhance the velocity and efficiency of the LAMBDA method to seek the fixed integer ambiguity