Study on Positioning Algorithm for Navigation Signal Based on Improved Kalman Filter

A positioning algorithm for navigation signals based on improved Kalman Filter is proposed in this paper. The receiver estimates the position and velocity via measuring the pseudo ranges and their speeds. By using Kalman filter to estimate the errors of parameters in stead of the parameters themselves, the operation errors are reduced and the positioning accuracy is improved efficiently. During the estimations, the measurement data do not have to be stored before processed in real time. This algorithm has been used in a practical navigation system. The simulation and practical results indicate that it has faster convergent rate and higher precision