Research On Optimization Slection Of Short Wave Network Direction Finding Stations

Technology on optimization slection of short wave network direction finding stations is the integrated use of finding positioning technology,target tracking and optimization algorithm.Because the advantage of resistance to destroy,concealed,rapid response,and adapting to a large number of the target signals.It has broad prospects for development in objective measurement and intelligent processing of measuring station tasks.In this paper,the main key technology of optimization of the stations selection model,positioning accuracy and swarm intelligence algorithm key technology research of optimization slection of short wave network direction finding stations are researched.The essence of finding stations optimization slection is multi-objective combinatorial optimization problems on finding positioning technology.Since this study is to research a large number of stations and a large number of the target signals,the main research is the intelligent algorithm.The improvement of swarm intelligent algorithm,location model of finding stations and relay tracking the moving targets,are significant for the technology on optimization slection of short wave network direction finding stations,which are the main contents of this article.This paper takes the demand of short wave network direction finding stations as the background,mainly studying the node scheduling technology of finding stations.The main research contents and achievements are as follows:For the static multi-objective optimization selection problem,the optimization selection algorithm based on the Fisher information matrix(FIM)is put forward in this paper.Aiming at multi-target task allocation problem among Stations,a task allocation method based on Fisher information matrix is proposed.Based on the prior information,the method sets collaborative multi-station positioning accuracy to as the optimization goal and establishes a task allocation system combining centralized and distributed structure which is solved by binary bat algorithm(BA).The establish of shortwave network collaborative direction-finding stations optimization to select target function,provides effective support for later study.For mobile multi-objective optimization selection problem,building the positioning stations optimization choice model of mobile target relay tracking direction.The model covers the task priority,communication delay,task switching conditions.For the priority of the task,using the earliest deadline first(EDF)algorithm.As in the process of relay direction-finding location,direction finding station combination try to keep the current constant composition,with the introduction of switching cost for stations combination retention strategy.Condition of task switching is established by means of the geometrical relation of time and direction-finding station with the target signals.This paper proposes a particle method with the particle self-cyclic shift to initialize the binary particle swarm optimization(BPSO).In the process of solving the model,This paper uses the vector encoding instead of matrix encoding,puts forward a corresponding to the constraint of particle.and uses the cyclic shift initialization method to improve the binary particle swarm optimization algorithm.Finally,the penalty function method combined with constraint checking are used to build the fitness function and make the multi-objective optimization problem into a single objective optimization problem,which can make the solution flexible.As lacking a open platform for validation of short wave network direction finding stations algorithm,this paper establish a emulation system including direction finding and stations selecting.The emulation system is composed of stations information,target signal,parameter setting,map display and listing presentation.When a new algorithm research achievement producing,it can be verified with the emulation system.