Research On Site Deployment Method Of Multifunctional Electronic System Based On Particle Swarm Algorithm

The multi-function electronic system is a multi-site combat system composed of a number of electronic devices with multiple functions.Each site can work together.The system can monitor multiple target areas in real time to deal with potential threats according to mission requirements,playing an important role on the modern battlefield.The distribution of each site will directly affect the performance of multifunctional electronics system,and the performance of the system can be effectively improved by optimizing the location of the site.However,the current research on site optimization configuration under performance preference requirements is not sufficient,and it is a problem that needs to be solved urgently.This article will conduct an in-depth study on site configuration based on PSO algorithm.The specific content is as follows:1.Combined with actual battlefield mission requirements,the joint echo signal-tonoise ratio,effective coverage and suppression power density are established and used as the objective function of the site configuration problem,and a multi-functional electronic system site configuration problem model is constructed.2.Established a multifunctional electronic system site deployment problem model under performance preference,constructed a complete preference multi-objective optimization algorithm and multi-index evaluation system,designed an iterative convergence rule based on the preferential area,and proposed a fixed step preference reference Point update rules,study the site deployment algorithm of multifunctional electronic system based on PSO algorithm.3.Aiming at the deficiencies of the preference reference point update rule with fixed step,the preference reference point adaptive update rule is proposed,and the multifunctional electronic system site deployment algorithm based on adaptive preference traction is studied.The above algorithms have been verified by simulation,and the results show that the proposed series of algorithms can effectively solve the problem of multifunctional electronic system site deployment in different scenarios.