Radio Receiver Design for Unmanned Aerial Wildlife Tracking

被引:0
|
作者
Webber, Daniel [1 ]
Hui, Nathan [2 ]
Kastner, Ryan [2 ]
Schurgers, Curt [2 ]
机构
[1] Santa Clara Univ, Santa Clara, CA 95053 USA
[2] Univ Calif San Diego, La Jolla, CA 92093 USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The use of radio collars is a common method wildlife biologists use to study behavior patterns in animals. Tracking a radio collar from the ground is time consuming and arduous. This task becomes more difficult as the size and output power decreases to accommodate animals as small as an iguana. Our solution is to fly a low cost Unmanned Aerial System equipped with a sensitive receiver chain to locate several transponders at once. The challenge is that the system needs to be low cost and be able to detect the transponder within a range of tens of feet. Initial ground tests indicate that the system was able to detect a collar 70 feet away for under $100.
引用
收藏
页码:942 / 946
页数:5
相关论文
共 50 条
  • [41] Unmanned Aerial Patrol Technology Based on Tracking Algorithm of Target Tracking
    Yao, Yao
    Quan, Qing-le
    Zhang, Hong-hui
    Li, Qiong
    INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2018, 14 (11) : 160 - 175
  • [42] Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview
    Dias Santana, Guilherme Marcel
    Cristo, Rogers Silva de
    Lucas Jaquie Castelo Branco, Kalinka Regina
    SENSORS, 2021, 21 (03) : 1 - 27
  • [43] Moving objects detecting and tracking for unmanned aerial vehicle
    Su, B. (binpin.su@gmail.com), 1600, Springer Verlag (215):
  • [44] Object Tracking Based on Unmanned Aerial Vehicle Video
    Tan, Xiong
    Yu, Xuchu
    Liu, Jingzheng
    Huang, Weijie
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL I, 2010, : 244 - 247
  • [45] Object Tracking Based on Unmanned Aerial Vehicle Video
    Tan, Xiong
    Yu, Xuchu
    Liu, Jingzheng
    Huang, Weijie
    APPLIED INFORMATICS AND COMMUNICATION, PT I, 2011, 224 : 432 - 438
  • [46] Beam Tracking Technique for Multiple Unmanned Aerial Vehicles
    Maeng, Sung Joon
    Park, Haein
    Cho, Yong Soo
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [47] An Unmanned Aerial Vehicle for Localization of Radio-Tagged Sturgeon: Design and First Test Results
    Consi, Thomas R.
    Patzer, Joseph R.
    Moe, Brady
    Bingham, Samuel A.
    Rockey, Kristopher
    OCEANS 2015 - MTS/IEEE WASHINGTON, 2015,
  • [48] Simple Online Unmanned Aerial Vehicle Tracking with Transformer
    Liu, Yang
    Wang, Ershen
    Xu, Song
    Wang, Zhi
    Liu, Meizhi
    Shu, Wansen
    2021 IEEE 20TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2021), 2021, : 1235 - 1239
  • [49] Detecting and tracking vehicles in traffic by unmanned aerial vehicles
    Wang, Liang
    Chen, Fangliang
    Yin, Huiming
    AUTOMATION IN CONSTRUCTION, 2016, 72 : 294 - 308
  • [50] Target tracking and adversarial reasoning for Unmanned Aerial Vehicles
    Ludington, Ben
    Reimann, Johan
    Vachtsevanos, George
    2007 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2007, : 3217 - 3233