| In the face of increasingly complex battlefield environments,the traditional airborne platform working independently has shortcomings such as small mission area coverage,poor resistance to destruction,and lack of system confrontation capabilities.The "platform-centric" airborne platform working mode is gradually changing to a "network-centric" multiple airborne platform collaboration mode.With the development of sensor technology,the controllable degree of freedom of the sensors mounted on the airborne platform is increasing,and the airborne detection system combined with the sensors is more flexible.At the same time,as the radar is widely used in the real battlefield,researching airborne multi-radar system is very meaningful.The multiple aircraft path planning is an important part of the airborne multi-radar system when performing detection tasks.This dissertation focuses on the path optimization problem of the airborne multi-radar system,studying the offline and online differentiated monitoring methods of the system for different mission importance areas.Conducting systematic work from theoretical analysis,method research,and simulation experiments.The specific research contents are as follows:1.The motion and restraint model of the airborne multi-radar system is constructed.The independent detection mode and cooperative detection mode of the radar loaded on the airborne platform with different spacing are studied,which provides a theoretical basis for the establishment of offline and online differentiated surveillance problem models.2.The long-term detection probability curve of the airborne multi-radar system for the different mission importance areas is analyzed.According to the analysis results,an objective function based on the effective detection time and limited-time return is designed to evaluate the airborne multi-radar system’s overall monitoring performance on the areas of interest.Combining with the system constraint to establish the system offline path optimization problem model,which provides research idea for the subsequent algorithm design.3.A particle swarm optimization algorithm based on virtual force is proposed,combined with the B-Spline smoothing algorithm,to solve the offline constraint optimization problem of airborne multi-radar systems with high dimensionality and high computational complexity.Comparing the optimized path with the fixed path,the result show that the optimized path can improve the monitoring performance,which proves the effectiveness of this algorithm.4.Analyzing the online monitoring requirements of airborne multi-radar systems in different mission importance areas,and providing research ideas for the design of virtual guidance node preference function.An online path optimization strategy method based on distributed Anti-Flocking algorithm is proposed,which can solve the airborne multi-radar system monitors the different mission importance areas in the free space and the obstacle space.Simulation results verify the above models and methods,and the results show that the above methods can realize the offline and online differential monitoring of airborne multi-radar system for different mission importance areas. |
