Electromagnetic Interference With the Mobile Communication Devices in Unmanned Aerial Vehicles and Its Countermeasures

被引:5
|
作者
Watanabe, Koh [1 ]
Sakai, Ryota [2 ]
Tanaka, Satoshi [2 ]
Nagata, Makoto [2 ]
Osaka, Hideki [3 ]
Nakamura, Atsushi [3 ]
Wu, Ifong [1 ]
Matsumoto, Yasushi [1 ]
Gotoh, Kaoru [1 ]
机构
[1] Natl Inst Informat & Commun Technol, Tokyo 1848795, Japan
[2] Kobe Univ, Grad Sch Sci Technol & Innovat, Kobe, Hyogo 6578501, Japan
[3] Ultimate Technol Inc, Nagano 3800823, Japan
关键词
Cellular communications; drone; electromagnetic compatibility (EMC); EMC countermeasures; electromagnetic interference (EMI); noise measurement; mobile communications; unmanned aerial vehicle (UAV); wireless communications; SKY; LTE;
D O I
10.1109/ACCESS.2024.3351216
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the threats to industrial unmanned aerial vehicles (UAVs), which require a high level of safety, is the degradation of control wireless communication performance due to electromagnetic interference. Self-jamming caused by unintentional electromagnetic (EM) noises from the multiple electronic devices installed in a UAV, such as the power supply and camera, is a fundamental issue independent of the surrounding environment. UAVs are susceptible to self-jamming since electronic devices as noise sources are densely mounted inside their chassis. Therefore, evaluating the self-jamming problem and taking countermeasures to achieve high safety in wireless communication performance are important. In this paper, we focus on mobile communications used for UAV operation and evaluate the impact of EM noise generated by a commercial industrial UAV on the receiver sensitivity of an onboard mobile communication device. It was found that EM noise generated by the UAV degrades the sensitivity in the three communication bands, 800 MHz, 1800 MHz, and 2100 MHz, used over the air. In particular, receiver sensitivity was degraded by up to 29 dB in the 800 MHz band. These results indicate that the self-jamming problem is not negligible for the safe operation of industrial UAVs. In addition, countermeasures for self-jamming were taken at the mechanical design level to suppress EM noise to a level that does not degrade mobile communication performance. This paper clarified that countermeasures for self-jamming are an important element for safe UAV operation.
引用
收藏
页码:11642 / 11652
页数:11
相关论文
共 32 条
  • [11] Data Communication in Linear Wireless Sensor Networks Using Unmanned Aerial Vehicles
    Jawhar, Imad
    Mohamed, Nader
    Al-Jaroodi, Jameela
    Zhang, Sheng
    2013 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2013, : 492 - 499
  • [12] Data Communication in Linear Wireless Sensor Networks Using Unmanned Aerial Vehicles
    Jawhar, Imad
    Mohamed, Nader
    Al-Jaroodi, Jameela
    2014 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2014, : 43 - 51
  • [13] Do Unmanned Aerial Vehicles Cause Harmful Interference to Ground Wireless Network Deployments?
    Voicu, Andra M.
    Rorick, Bernd
    Simi, Ljiljana
    Mahonen, Petri
    DRONET'18: PROCEEDINGS OF THE 2018 ACM INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS AND SERVICES, 2018, : 7 - 8
  • [14] Electromagnetic interference on medical equipments due to wireless communication devices
    Cesar Calvo, Paulo
    Escobar, Adolfo
    Pinedo, Carlos
    REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2008, (46): : 90 - 100
  • [15] Architectures and Strategies for Efficient Communication in Wireless Sensor Networks Using Unmanned Aerial Vehicles
    Jawhar, Imad Hussein
    Mohamed, Nader
    Trabelsi, Zouheir
    Al-Jaroodi, Jameela
    UNMANNED SYSTEMS, 2016, 4 (04) : 289 - 305
  • [16] Mobile communication devices causing interference in invasive and noninvasive ventilators
    Dang, Bao P.
    Net, Pierre R.
    Gjevre, John A.
    JOURNAL OF CRITICAL CARE, 2007, 22 (02) : 137 - 141
  • [17] Effectiveness of Mobile Emitter Location by Cooperative Swarm of Unmanned Aerial Vehicles in Various Environmental Conditions
    Kelner, Jan M.
    Ziolkowski, Cezary
    SENSORS, 2020, 20 (09)
  • [18] Optimal Position Design for Unmanned Aerial Vehicle Relay-Assisted Covert Communication Based on Active Countermeasures
    Li, Yunxiang
    Tian, Wen
    Ji, Xiaopeng
    Liu, Guangjie
    Dai, Yuewei
    IEEE SYSTEMS JOURNAL, 2024, 18 (01): : 692 - 701
  • [19] Investigation of Mode Transformation in Motor Control System of Unmanned Aerial Vehicle Exposed to Intentional Electromagnetic Interference
    Jie, Huamin
    Zhao, Zhenyu
    Chang, Yongqi
    Fan, Fei
    Wang, Changdong
    See, Kye Yak
    PROCEEDINGS OF THE 2024 IEEE JOINT INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY: EMC JAPAN/ASIAPACIFIC INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, EMC JAPAN/APEMC OKINAWA 2024, 2024, : 321 - 324
  • [20] PAveMENT: a framework for the intelligent and safe navigation of unmanned aerial vehicles over optimal PAths in MobilE NeTworks
    Malboubi, Mehdi
    Bhorkar, Abhijeet
    Jiang, Frank
    COMPUTER NETWORKS, 2021, 186