Research on the Technology of Information Fusion for the Redundancy Guidance for Aircraft Automatic Carrier Landing

Under the background of the application of the redundancy guidance for aircraft automatic carrier landing, aiming at the different degrees of transmission delay caused by the different working environments of multiple sensors, the current period data is predicted and estimated to achieve the time stamp calibration in this paper. The algorithm of Kalman sliding window filter fusion and the algorithm of covariance weighted fusion have been combined to unify the different processing methods in the different application scenarios in this paper. Simulation experiments prove that the algorithm of information fusion which is optimized and improved has the ability of high precision, stability and anti-interference, and can deal with emergencies caused by the external environment effectively.