Research On Resource Scheduling Method Of Multifunctional Radar Network

The network system of multi-function radar has obvious advantages in anti-stealth,anti-radiation missile,anti-jamming,target positioning and so on compared with the traditional single-station multi-function radar.The network radar system has limited resources,and in order to fully improve the system’s detection,interference and other performance indicators,it is necessary to allocate and dispatch the limited system resources reasonably.This paper mainly aims at the location of the physical resource radar site in the multi-functional network radar system,puts forward the resource scheduling model in static scene,and on this basis establishes the resource scheduling model in dynamic scene.The particle swarm optimization(PSO)algorithm is applied to the network resource scheduling scheme,which reduces the amount of computation and improves the detection and interference performance of the system.Based on the practical application scenario of multi-function radar network to detect and interfere with the target area,this thesis studies the resource scheduling method of radar network under different scenes using the modified PSO algorithm,the specific contents of which are as follows:1.Introduce and analyze the signal model and resource scheduling basic criteria of multi-functional radar network,take echo signal-to-noise ratio,airspace coverage coefficient and interference power density as the performance index of the evaluation system,establish the basic scheduling model of radar site location as the resource to be allocated,and use PSO algorithm to optimize the scheduling of static single-task radar network resources.2.Introduce the concept of dynamic optimization problem,model the resource scheduling problem in dynamic single-task target scene,modify PSO algorithm based on competitive population evaluation(CPE)strategy,and design dynamic single-task radar network resource scheduling algorithm.3.In view of the problem of multi-target radar network resource scheduling in static scenes,a mathematical model of this problem is established,and by analyzing the existing multi-objective optimization algorithm,a modified multi-objective particle swarm optimization based on decomposition algorithm(MMOPSO/D)is designed,and compared with the traditional multi-objective particle swarm optimization(MOPSO)algorithm,it is proved that the convergence and diversity of the modified algorithm scheduling scheme are better.4.Based on dynamic single-task and static multi-task resource scheduling model,establish the radar network resource scheduling model in dynamic multi-target scene,design a new population adjustment strategy for dynamic multi-objective optimization problem(DMOP),combine with MMOPSO/D algorithm,solve the radar network resource scheduling problem of dynamic environment,and improve the working efficiency of radar network system.