Design And Implementation Of Low-slow And Small Radar Data Processing Algorithm Based On Host Computer

In recent years,problems caused by low-slow-small targets(LSST)have frequently occurred,posing a huge threat in civilian and military fields.The detection and tracking of LSST has always been a research hotspot and difficulty in radar technology.Therefore,designing a low-slow-small radar data processing system with high accuracy,strong real-time performance and good stability has good application prospects.The main work of this paper is to design and implement a low-slow-small radar data processing system.Firstly,this paper introduces the research background,research significance,history and status of technology development at home and abroad.Secondly,studies the basic theory of radar data processing.According to the requirements of low-slow-small radar data processing,the algorithms used for the steps of point preprocessing,track initiation,filter prediction,and track correlation are determined,which lays a theoretical foundation for the subsequent engineering implementation.Thirdly,completes the design of the low-slow-small radar data processing system,and divides the data processing system into multiple sub-modules based on the modular design concept,including network communication module,data processing module,human-computer interaction interface module,data storage module.Then,completes the design and implementation of detailed algorithm flow for each sub-module of the data processing system.Among them,the data processing module adopts the pre-correlation design of point and track,so that the point and the track can be selected from each other,which improves the accuracy of track correlation.Finally,debugs and verifies the function of the data processing system.The experimental results show that the low-slow-small radar data processing system can complete the radar data processing,accurately display the target track,and work stably,meet the system requirement.