Improved adaptive Kalman estimation in dual-frequency navigation using carrier phase

A new adaptive Kalman estimation algorithm for dual-frequency navigation using carrier phase is presented. The algorithm is robust and steady in kinetic applications by improving the adaptation of observation and state covariance matrixes for Kalman filter. Carrier phase measurements are used to further improve the precision. Finally applications on kinetic simulations demonstrate the validity and efficiency of the algorithm.