Drone-Based Forest Propagation Measurements for Ground-to-Air EMI Applications

被引:4
|
作者
Hampton, Jerry R. [1 ]
Yao, Steve [1 ]
Kroeger, Trevor [1 ]
Carducci, Candace [1 ]
Murphy, Corry [1 ]
机构
[1] Johns Hopkins Univ, Appl Phys Lab, Laurel, MD 20723 USA
来源
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2019年 / 18卷 / 12期
关键词
Forestry; Loss measurement; Drones; Vegetation; Antenna measurements; Propagation losses; Attenuation; Foliage attenuation; path loss; propagation; radio propagation; TREE ATTENUATION; VEGETATION; UHF; MODEL;
D O I
10.1109/LAWP.2019.2946561
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This letter describes measurements of path loss caused by a leafless, mid-Atlantic deciduous forest on ground-to-air (G-A) paths using a drone-based measurement system. The focus of these measurements is on slant paths with low elevation angles (< 10) and large foliage depths (up to 500 m) for G-A electromagnetic interference environments involving interference from large numbers of cell phone uplink emissions at military aircraft sharing the same band. Measurements of excess foliage attenuation versus foliage depth are compared to various models, some of which have not appeared in the literature previously. A particularly simple model for predicting forest attenuation on slant paths at low elevation angles is presented that compares favorably with the measurements.
引用
收藏
页码:2627 / 2631
页数:5
相关论文
共 24 条
  • [1] Channel Prediction for mmWave Ground-to-Air Propagation Under Blockage
    Khawaja, Wahab
    Ozdemir, Ozgur
    Guvenc, Ismail
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2021, 20 (08): : 1364 - 1368
  • [2] Comparison of energy demands of drone-based and ground-based parcel delivery services
    Kirschstein, Thomas
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 78
  • [3] 5G New Radio Signal Propagation and Ground-to-Air Channel Modeling at 3.565 GHz Based on Extensive Measurements
    Rostamikafaki, Zahra
    Chan, Francois
    D'Amours, Claude
    IEEE ACCESS, 2024, 12 : 143975 - 143984
  • [4] DRONE-BASED FOREST VARIABLES MAPPING OF ICOS TOWER SURROUNDINGS
    Wallerman, Jorgen
    Bohlin, Jonas
    Nilsson, Mats B.
    Fransson, Johan E. S.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 9003 - 9006
  • [5] Formal Modeling of IoT and Drone-Based Forest Fire Detection and Counteraction System
    Tehseen, Aqsa
    Zafar, Nazir Ahmad
    Ali, Tariq
    Jameel, Fatima
    Alkhammash, Eman H.
    ELECTRONICS, 2022, 11 (01)
  • [6] Drone-based ground-penetrating radar (GPR) application to snow hydrology
    Valence, Eole
    Baraer, Michel
    Rosa, Eric
    Barbecot, Florent
    Monty, Chloe
    CRYOSPHERE, 2022, 16 (09): : 3843 - 3860
  • [7] Drone-Based Ground-Penetrating Radar with Manual Transects for Improved Field Surveys of Buried Ice
    Tjoelker, Adam R.
    Baraer, Michel
    Valence, Eole
    Charonnat, Bastien
    Masse-Dufresne, Janie
    Mark, Bryan G.
    Mckenzie, Jeffrey M.
    REMOTE SENSING, 2024, 16 (13)
  • [8] Estimation of biogenic volatile organic compound (BVOC) emissions in forest ecosystems using drone-based lidar, photogrammetry, and image recognition technologies
    Duan, Xianzhong
    Chang, Ming
    Wu, Guotong
    Situ, Suping
    Zhu, Shengjie
    Zhang, Qi
    Huangfu, Yibo
    Wang, Weiwen
    Chen, Weihua
    Yuan, Bin
    Wang, Xuemei
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2024, 17 (13) : 4065 - 4079
  • [9] Advanced window coatings for drone and ground based applications
    Finnell, Terrance
    Fredell, Markus
    Jarvis, Gregg
    Barret, Ian
    Sczupak, Robert
    Cohen, Scott
    Rahmlow, Thomas
    Mann, Robert
    Johnson, Robert
    WINDOW AND DOME TECHNOLOGIES AND MATERIALS XVI, 2019, 10985
  • [10] HapticPuppet: A Kinesthetic Mid-air Multidirectional Force-Feedback Drone-based Interface
    Feick, Martin
    Tang, Anthony
    Krueger, Antonio
    ADJUNCT PROCEEDINGS OF THE 35TH ACM SYMPOSIUM ON USER INTERFACE SOFTWARE & TECHNOLOGY, UIST 2022, 2022,