Research On Deployment Method For Multistatic Radar In Complex Environment

The multistatic radar is composed of multiple radar nodes,which cooperate with each other to accomplish the tasks together.Compared with the monostatic radar,the multistatic radar has the advantages of strong performance,high system reliability and so on.The deployment of multistatic radar has great influence on its performance and resource utilization.Therefore,the deployment of multistatic radar is a vital problem in the research of multistatic radar.When the multistatic radar is working,the scenes with a large number of complex landforms or obstacles which has a significant impact on the deployment of multistatic radar often appear.The problem of the deployment of multistatic radar in such scenes is called the deployment problem of multistatic radar in complex environment.This thesis conducts a thoroughly study on this problem,the main research contents are as follows:1.Combined with the actual working conditions and scenes of the multistatic radar,a multistatic radar deployment model whose objective functions are effective coverage and maximum power density was established,and the multi-objective particle swarm optimization algorithm was used to solve the problem.Finally,the deployment method of multistatic radar based on particle swarm optimization algorithm is constructed.2.Aiming at the problem of deployment of multistatic radar in complex environment,the multistatic radar deployment models in complex configuration area and complex irradiation environment are established respectively.In order to solve the problem whose decision space is discrete,improved particle swarm optimization algorithms based on penalty function,mixed integer programming and other strategies are proposed,and the improved algorithms are applied to solve the deployment problem of multistatic radar in complex environment.Finally,a multistatic radar deployment method in complex environment based on improved particle swarm optimization algorithm is constructed.3.The deployment problem of multistatic radar in complex environment with performance preference is analyzed,and the corresponding problem model is established.The particle swarm optimization algorithms based on fixed preference reference points and preference reference point traction are applied to the deployment of multistatic radar,and the deployment problem of multistatic radar in complex environment with performance preference is solved.Finally,the deployment problem of multistatic radar in complex environment with performance preference is constructed.The above research involves a variety of different multistatic radar deployment scenes,and the particle swarm optimization algorithm and its improved algorithms are used to solve the problems.All the studies are validated by test function simulations and multistatic radar deployment simulations,and performances of algorithms is also evaluated and analyzed.