Safety control decision making based on multi-source information fusion for satellite launch and flight

To aim at the characteristic of launch vehicle flight safety control, according to the dynamic characteristic and statistical characteristic of the data respectively from the telemetry and Exteiror, this paper proposes a layered multi-stage dynamic combination Kalman filtering fusion method based on the trajectory examination and the sequential fusion, solves the problem that the reliability of fusion data is reduced because of the fused sensor’s blunder error or losing target and gains the accurate parameter and trajectory of launch vehicle flight. It builds the description model of launch vehicle flying status under the constraint of safety flight, uses the backward reasoning and matches the fact satisfying the condition recursively in real-time, providing the actual information of launch vehicle flight to safety control supervisors. The practical application indicated that the method proposed by this paper is feasible.