Design Of Sensor Information Fusion Algorithm For Fully Automatic Carrier Landing System

The carrier-based aircraft is the main combat weapon of the aircraft carrier.It is risky to guide the aircraft land on the ship.In order to improve the safety of the guidance of landing on the ship,it is necessary to achieve precise glide path guidance.GPS\SINS Integrated navigation is an important means to accurately guide the landing of aircrafts.In this paper,the information fusion algorithm of integrated navigation will be designed and the simulation model of the automatic landing guidance system will be built.First,models related to the automatic landing guidance system is built,such as the longitudinal linearization model of the carrier aircraft based on the landing reference state in a non-calm atmosphere,the ideal landing point motion model,the sensor noise model,and the turbulence model.Secondly,on the basis of the mathematical model of the carrier-based aircraft,the automatic landing control system based on the vertical velocity is built,and the calculation method for the simulation time of the landing guidance and the actual landing point of the carrier-based aircraft is given.Subsequently,the working principle of strapdown inertial navigation is analyzed,the error equation of strapdown inertial navigation expressed by additive quaternion is built,and the system equation of GPS\INS integrated navigation in loose combination mode is established.On the basis of the unscented Kalman filter,the update method of its sigma point in each iteration is changed,and then the sub-optimal decay factor is introduced to design an improved strong tracking unscented Kalman filter algorithm as the information fusion of integrated navigation algorithm.The performance of the fusion algorithm is verified by integrated navigation simulation experiment.Finally,a simulation model of the automatic landing guidance system is built by combining the automatic landing control system and sensor model,and the performance of the landing guidance of designed the information fusion algorithm designed is verified on this model.