Aerial Locating Method Design for Civil Aviation RFI: UAV Monitoring Platform and Ground Terminal System

实时计算 民用航空 无人机 工程类 飞行试验 软件 终端(电信) 适航性 计算机科学 传输(电信) 模拟 航空 电信 航空航天工程 程序设计语言 认证 生物 政治学 遗传学 法学
作者
Chao Zhou,Renhe Xiong,Hongzheng Zeng,Jun Xiao,Yao Wang,Pingfa Jia,Ye Jia,Tiantian Zhao,Kun Hu
出处
期刊:Journal of Intelligent and Robotic Systems [Springer Science+Business Media]
卷期号:103 (2) 被引量:8
标识
DOI:10.1007/s10846-021-01479-y
摘要

Abstract A key open question in the aerial locating method is ensure that parameters that identify the location of the radio frequency interference (RFI) are monitored, and to make sure that the locating algorithm is unbiased. Furthermore, the transmission of parameters to the ground for real-time analysis and display of the RFI location is important as it provides insight into the performance advantages of the aerial location method. The main contributions of the article are four points: the first is the introduction of the angle of arrival (AOA) algorithm to civil aviation RFI location, and the integration of algorithm characteristics with unmanned aerial vehicle (UAV) operations proposing an aerial monitoring method for civil aviation RFI. Simulation results show that the two-point cross-location method obtains effective information on the location parameters of the RFI. The second is to build a UAV monitoring platform, which is as light as possible to make sure the direction finding and digital transmission devices meet the airworthiness requirements, so that the UAV can complete the data acquisition task within a safety margin. Thirdly, a ground analysis system was designed to receive information on the UAV’s parameters, enabling software manipulation to ensure safe operation under non-visual conditions. In addition to this, the monitoring data is processed in real time and algorithms are used to resolve the location of interference sources and display them on a map. The fourth one is to verify the implementation of the aerial positioning method by setting up different test scenarios. Compared with portable direction-finding equipment and ground monitoring, the test results show that the UAV-based RFI monitoring method performances better in monitoring radius and positioning accuracy with a small direction-finding error, and the advantages of the ground analysis system are highly integrated and intuitive display.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
wmsyth完成签到 ,获得积分10
刚刚
务实的鸽子完成签到,获得积分10
刚刚
刚刚
单薄鹏笑发布了新的文献求助10
1秒前
1秒前
聪明蛋挞应助1233采纳,获得10
1秒前
小布丁完成签到,获得积分10
2秒前
爱学习发布了新的文献求助10
2秒前
2秒前
斯文败类应助罗梦采纳,获得10
2秒前
歪西西发布了新的文献求助10
3秒前
linxc07发布了新的文献求助10
3秒前
3秒前
4秒前
狂野紫丝应助晴朗采纳,获得10
4秒前
ZJ发布了新的文献求助10
5秒前
Ava应助qiushui采纳,获得10
5秒前
6秒前
6秒前
leo007发布了新的文献求助30
6秒前
ZZY发布了新的文献求助10
7秒前
7秒前
小药丸完成签到 ,获得积分10
7秒前
8秒前
8秒前
9秒前
陶醉发箍完成签到 ,获得积分10
9秒前
1AN发布了新的文献求助10
10秒前
10秒前
11秒前
李洋发布了新的文献求助10
11秒前
冷酷问柳发布了新的文献求助10
11秒前
12秒前
12秒前
12秒前
Nole应助kkk采纳,获得10
12秒前
Lu完成签到,获得积分10
13秒前
13秒前
科目三应助踏实愫采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7731428
求助须知:如何正确求助?哪些是违规求助? 9282569
关于积分的说明 20152451
捐赠科研通 7308831
什么是DOI,文献DOI怎么找? 3303709
关于科研通互助平台的介绍 2456509
邀请新用户注册赠送积分活动 2312394