Research On Assistant Decision Technology For Distributed Radar Intelligent Scheduling

Compared with single-base radar,distributed radar has more robust detection performance and larger detection range.At the same time,due to the limited resources in distributed radar system,how to reasonably allocate and dispatch resources to improve the detection performance,positioning performance and other technical indexes of distributed radar system becomes more and more important.In this paper,a single-index constrained resource allocation model and a multi-index constrained resource allocation model are proposed by reasonably allocating the entity space resources in the distributed radar system.The intelligent optimization algorithm is applied to the distributed radar system as an assistant decision making technique to improve the effective coverage and positioning accuracy of the monitoring area.This paper first introduces the basic principle of distributed radar system scheduling,analyzes the signal model and resource control algorithm framework of distributed radar system,and introduces two intelligent optimization algorithms that play an auxiliary decision in distributed radar system,namely particle swarm optimization algorithm and genetic algorithm.In order to solve the problem of radar site configuration and scheduling in distributed radar system,the optimization algorithm is studied as the radar system decision assistant technology.In this paper,the target is to improve the positioning performance,and the distributed radar system is taken as the research object,the radar node location is used as the resource to be allocated,bulid a single index optimization model.By using particle swarm optimization and other intelligent optimization algorithms to solve the problem of optimal distribution of distributed radar system,a reasonable radar layout scheme is generated.The simulation results show that the particle swarm optimization(pso)algorithm can assist to generate a reasonable layout scheme and improve the positioning performance of the distributed radar system.By comparing the scheme with the regular layout,the advantages of particle swarm optimization(pso)as decision aid technique are further confirmed.Under complex situation,radar system needs to take into account a variety of performance indexes.In this paper,an improved multi-objective particle swarm optimization algorithm for radar station is proposed,and compared with the standard particle swarm optimization(MOPSO)algorithm,it is proved to be superior in convergence and diversity.In this paper,the coverage calculation method is studied and the model of multi-index radar station is built.In order to improve the coverage and positioning performance of distributed radar system,the location of radar station is used as the resource to be allocated.The optimal solution set obtained by the algorithm can provide multiple layout schemes,and the decision maker can choose the appropriate layout scheme according to the decision preference.The feasibility and effectiveness of the algorithm are verified by the experimental simulation.It can be used as an auxiliary decision technique in radar system.