Research On Digital Simulation Of Multifunctional Phased Array Radar

With the increasing complexity of the battlefield environment and the continuous improvement of the technology level,the phased-array radar(PAR)has gained more and more applications.Phased array radar has a wealth of tactical functions due to its ability to rapidly change the antenna beam,and can simultaneously complete tasks such as target confirmation,target tracking,missile guidance,and airspace search that usually require multiple traditional radars to complete.The multi-functional phased array radar(MPAR)is complex in system,long in cycle,high in cost and difficult to test.Using digital simulation technology to establish the mathematical model of radar system can simulate its dynamic working process in laboratory environment.We can evaluate and analyze the overall performance of the radar and independently verify the functions of its sub-systems,which are important technical means in the development of radar systems.This paper uses digital simulation technology to perform simulation and closed-loop verification on the echo simulation,signal processing,target tracking,clutter filtering,resource scheduling and other functions of multifunctional phased array radar,and has developed a general radar digital simulation platform.It has important research significance.The main work and innovations of this paper are as follows:(1)A general-purpose multifunctional phased array radar digital simulation platform was developed,which mainly provided an operating environment for the development of radar simulation models,real-time operation,non-real-time operation,and model testing.Capable of simulating and closed-loop verification of radar echo simulation,signal processing,target tracking,clutter filtering,point track management,resource scheduling and other functions.In the design process,each sub-module is mainly modeled and verified by MATLAB,and then the entire simulation platform is built using C #.(2)A clutter filtering and multi-target tracking algorithm based on Track-Oriented Multiple Hypothesis Tracking(TOMHT)and Support Vector Machine(SVM)is proposed.This algorithm transforms the multi-target tracking problem in a dense clutter environment into a binary classification problem,which can effectively filter the clutter and predict the tracks of multiple targets,and has a good data association performance in the dense clutter environment.(3)We studied the resource scheduling and control methods of multifunctional phased array radar,demonstrated the factors affecting the radiation of the radar antenna,and simulated the beam control and wave position arrangement of the radar during the search task.We used two kinds of adaptive radar resource scheduling algorithms,which can make effective use of the radar time resources and complete the radar scheduling and control in an orderly manner under the conditions of multi-task and multi-target.