Loran-C TD Signals Processing based on Kalman Filter

Measurement error from Loran C TD(time difference) signals is the key that affects the positioning precision.Loran C positioning principles and Kalman filtering technique are introduced.The design of Kalman filter algorithm for Loran C TD signals is put forward,using CV model and CA model for static and dynamic positioning experimental data processing separately.The relevant conclusions have some practical significance in engineering.