Research On Tasks Scheduling Method For Multifunction Radar Network

With the development of electromagnetic countermeasure and the influence of stealth targets,anti radiation missile,low altitude targets and other threats,traditional monostatic radar exposes defects increasingly in the modern electronic warfare,and can not cope with complex battlefield environment ideally.Appearance of multifunction radar network technology makes it possible that radar runs several tasks simultaneously,the utilization rates of radar resources will be improved greatly,and radar network could deal with various threats effectively with the help of dimensional variety of radar nodes.In order to maximize the advantages of multifunction radar network and improve the utilization rate of radar resource fully,an efficient and reasonable task scheduling method is crucial for multifunction radar network.The foundation of this paper is tasks scheduling for multifunction radar node,and research subject is method of certain and uncertain tasks scheduling for multifunction radar network.The primary coverage of this paper constitutes by three parts.1?The task scheduling method for multifunction radar based on greedy algorithm is put forward,and tasks can be scheduled fleetly and efficiently when radar resources are enough.In the case of lacking radar resourse,a method based on compression of dwell time is proposed.A nonlinear membership function is used to analyze the compression degree of dwell time of task quantitatively,so that the applicability of method is improved.The normalization processing of task periods is added to this method,so that the availability of method for tasks with arbitrary periods can be improved.The simulation indicates that availability of radar resourse is improved and discard rate of tasks descends.2 ? Several task scenes and corresponding tasks scheduling methods for multifunction radar network are proposed.Firstly,a comparative study of the greedy algorithm and algorithm based on dwell time compression is conducted.Then,the basic principle of the standard particle swarm algorithm is introduced,and three kinds modified particle swarm algorithm are put forward and the validity of the algorithm are verified through simulation.Then,a task scheduling algorithm for multifunction radar network based on market auction mechanism is introduced,and the application and working principle of auction mechanism in task scheduling for radar network are described detailedly.Finally,a method that can traversal whloe solution space is proposed--A branch and bound task scheduling method for multifunction radar network,and the amount of calculation is reduced evidently by pruning operation.3?A uncertain task scheduling method for multifunction radar network with multi working modes is proposed.Four working modes for multifunction radar are desigened to cope with changes in the number and size of real-time tasks,they are low load mode,compression mode,multifunctional waveform mode and multibeam mode.A prediction model of radar task is established based non-linear regression and uncertain task scheduling for multifunction radar is realized.