Research On Site Configuration Of Netted Radar Based On Particle Swarm Optimization

Netted radar is a new system radar proposed in recent years,which is composed of multiple radars,and each radar station works together at different locations.An alldimensional and multi-level combat system can be constructed,which has great advantages in improving target resolution and obtaining multi-dimensional information.The configuration of station is one of the key technologies,which has direct influence on the performance of netted radar.Different site configurations will achieve completely different performance,therefore,the site configuration of netted radar has become a hot topic for scholars at home and abroad.In this thesis,the improved Particle Swarm Optimization(PSO)algorithm is adopted to study the site configuration in different scenarios,and the specific contents are as follows:1.Analyze the configuration model of the radar station in the network,and describe the performance indicators such as echo signal-to-noise ratio(SNR),effective area coverage,suppressed power density,and geometric accuracy factor to reflect the performance of the task.2.In order to solve the problem of site configuration of single-index constrained netted radar,PSO algorithm is used to configure the site of single-index constrained netted radar for static reconnaissance,detection,jamming and other tasks.When a single monitoring region moves dynamically,an improved PSO algorithm is proposed.Under the dynamic single target scenario,the method of restarting with the historical solution set can satisfy the demand of fast convergence to the reference solution.3.Aiming at the problem of site configuration in static scene netted radar with multiindex constraints,the multi-objective optimization problem is studied.The MOPSO algorithm is used to solve the site configuration problem when the netted radar performs different combination tasks,such as detection,reconnaissance,jamming and positioning,a variety of netted radar site configuration schemes can be provided to meet the requirements of combined tasks.4.Aiming at the configuration problem of multi-objective dynamic scene netted radar,the dynamic MOPSO algorithm is studied.An improved dynamic MOPSO algorithm is proposed to converge to the reference plane in a short time.When the configuration and monitoring area change dynamically at the same time,we improved the initialization and iterative optimization methods of the MOPSO algorithm,which can provide multiple site configuration schemes for the UAV swarm with limited flight distance and obtain flight paths.The above algorithms are verified by the simulation experiments.The results show that in different static and dynamic scenarios,the above algorithms can provide better configuration schemes for netted radar sites.