Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter

Q4 Engineering
Michal Bastl, Tomás Spácil, Jan Najman, M. Celik, Oguz Kaan Hancioglu, R. Grepl
{"title":"Estimation of Maximum Signal Strength for Satellite Tracking Based on the Extended Kalman Filter","authors":"Michal Bastl, Tomás Spácil, Jan Najman, M. Celik, Oguz Kaan Hancioglu, R. Grepl","doi":"10.3849/aimt.01725","DOIUrl":null,"url":null,"abstract":"The article presents an improved satellite tracking approach using the extended Kalman filter within the control systems of the moving antenna. The main focus is on the issue of maintaining the maximum signal strength during vehicle movement, gyroscope and GPS sensors error and the deterioration of reception due to changing conditions (weather, obstacles). Typically used techniques are based on ad-hoc scanning of the maximum value of the RF signal. The approach presented in this article might be used as a much more consistent and elegant alternative to these algorithms. To prove the function of the presented algorithm, simulations of several different scenarios are performed. Based on these simulations, the robustness and speed of the newly designed algorithm are evaluated.","PeriodicalId":39125,"journal":{"name":"Advances in Military Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Military Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3849/aimt.01725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

The article presents an improved satellite tracking approach using the extended Kalman filter within the control systems of the moving antenna. The main focus is on the issue of maintaining the maximum signal strength during vehicle movement, gyroscope and GPS sensors error and the deterioration of reception due to changing conditions (weather, obstacles). Typically used techniques are based on ad-hoc scanning of the maximum value of the RF signal. The approach presented in this article might be used as a much more consistent and elegant alternative to these algorithms. To prove the function of the presented algorithm, simulations of several different scenarios are performed. Based on these simulations, the robustness and speed of the newly designed algorithm are evaluated.
基于扩展卡尔曼滤波的卫星跟踪最大信号强度估计
本文提出了一种改进的卫星跟踪方法,在移动天线控制系统中使用扩展卡尔曼滤波。主要焦点是在车辆运动期间保持最大信号强度的问题,陀螺仪和GPS传感器的误差以及由于条件变化(天气,障碍物)而导致的接收恶化。通常使用的技术是基于射频信号最大值的临时扫描。本文中提供的方法可以作为这些算法的更一致、更优雅的替代方法。为了证明所提算法的功能,进行了几种不同场景的仿真。在此基础上,对新算法的鲁棒性和速度进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Advances in Military Technology
Advances in Military Technology Engineering-Civil and Structural Engineering
CiteScore
0.90
自引率
0.00%
发文量
11
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信