{"title":"Network protocol-driven real-time tracking radar trajectory simulation using GLG framework for test range applications","authors":"Mitul Goswami, Shashwat Kumar, Sourav Kaity","doi":"10.30574/ijsra.2024.12.2.1245","DOIUrl":null,"url":null,"abstract":"This research presents an innovative approach to developing a Tracking Radar Trajectory Simulator by integrating advanced network communication protocols and the GLG toolkit framework. The simulator processes raw real-time coordinate system data, specifically in ECEF, ENV, or LLA formats, and converts this to Radar-specific requirements. It serves as a crucial tool for real-time data transmission and visualization of key parameters such as Azimuth Angle, Elevation Angle, and Range, facilitating the study and analysis of Radar trajectory dynamics. The system employs socket programming to enable seamless communication between the simulator and external devices, allowing efficient data exchange in a networked environment. Additionally, it incorporates optimized algorithms to enhance performance and reliability while reducing the time complexity of the simulation. The proposed system surpasses existing state-of-the-art models in terms of agility and performance. Through rigorous experimentation and evaluation, the effectiveness and efficiency of the proposed approach are demonstrated, highlighting its potential applications in Radar technology research and development. This research advances the field of trajectory simulation by providing a robust and scalable solution for real-time data analysis and visualization, contributing significantly to the development of more agile and high-performing tracking systems.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"5 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Science and Research Archive","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/ijsra.2024.12.2.1245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research presents an innovative approach to developing a Tracking Radar Trajectory Simulator by integrating advanced network communication protocols and the GLG toolkit framework. The simulator processes raw real-time coordinate system data, specifically in ECEF, ENV, or LLA formats, and converts this to Radar-specific requirements. It serves as a crucial tool for real-time data transmission and visualization of key parameters such as Azimuth Angle, Elevation Angle, and Range, facilitating the study and analysis of Radar trajectory dynamics. The system employs socket programming to enable seamless communication between the simulator and external devices, allowing efficient data exchange in a networked environment. Additionally, it incorporates optimized algorithms to enhance performance and reliability while reducing the time complexity of the simulation. The proposed system surpasses existing state-of-the-art models in terms of agility and performance. Through rigorous experimentation and evaluation, the effectiveness and efficiency of the proposed approach are demonstrated, highlighting its potential applications in Radar technology research and development. This research advances the field of trajectory simulation by providing a robust and scalable solution for real-time data analysis and visualization, contributing significantly to the development of more agile and high-performing tracking systems.