Aiming at the problem of poor information-level fusion detection and localization accuracy， this paper proposes a multi-platform active-passive radar information-level and signal-level data fusion localization method based on the principle of least squares， and for the existing signal-level fusion algorithms that need the target's a priori information for the temporal alignment of the signal-level fusion algorithms， it puts forward a temporal alignment method based on the positional information of the platform itself and the positional relationship between the platforms. Simulation results show that the method proposed in this paper can effectively realize target positioning. Furthermore， multi-platform active and passive radar signal-level coordination can obtain smaller root mean square error of target positioning and improve the target positioning accuracy relative to the information-level coordination， as well as pure active radar coordination and pure passive radar coordination.

Simulation research on triggering current is the kernel of electromagnetic railgun investigation， based on its equivalent electric circuit， the models of pulsed power， rail， armature， sliding electrical contact between armature and rail are established， and the electromagnetic railgun simulation model is established by integrating the component models together. By means of Dommel-EMTP（electromagnetic transient program）algorithm， the triggering current and voltage of every pulse forming unit are simulated， then the total discharging current， velocity and displacement of armature are solved. Compared with the tested date， the relative error of simulation results of total discharging current and armature muzzle velocity is less than 4% ， which indicates the effectiveness and accuracy of the model and provides basic method for further research on electromagnetic railgun.

An improved unmanned aerial vehicle （UAV） low altitude penetration model based on safe flight space is presented to solve the problem of lack of combination with the characteristics of UAV after terrain preprocessing. A safe flight space is constructed to reduce terrain constraints and ensure the safe flight of UAV in low altitude penetration. The trajectory planning model is improved by combining with the characteristics of UAV to increase the stability of UAV flight process and the smoothness of planned trajectory. The particle swarm optimization （PSO） algorithm is used to simulate the two models before and after the improvement in complex elevation map to verify the rationality and effectiveness of the improved model.

With the dramatic increase in the style and number of naval aviation missions， the experience-based manual scheduling type of special support vehicle dispatching method will not only cause a waste of support resources， but also easily lead to delays in warplanes due to untimely dispatch of vehicles. To address the problem of dispatching special support vehicles at naval aviation station， a mathematical model is established with the objective of dispatching the least number of support vehicles and the shortest total vehicle travel distance under the constraints of time window and vehicle load. The model is solved by improving the initial population and coding method of genetic algorithm， and a simulation test is carried out with a multi-aircraft and high-volume flight protection task to obtain a special support vehicle dispatching scheme， which verifies the rationality of the model.