Abstract: The shortcomings and defects of the existing positioning and speed measuring methods are analyzed. Based on federated Kalman filter principle, a maglev train integrated positioning and speed measuring method based on multi-source information fusion is proposed. This method effectively integrates Inertial Navigation System, GNSS (global navigation satellite system) and Doppler radar sensor. A train movement model is successfully built, and the fusion algorithm is designed and optimized. Based on the simulation tests on MATLAB software simulation platform, the effectiveness and reliability of the proposed method is verified.