Micro-Motion Signatures of Large Wind Turbines: Case Study Using a Mobile Weather Radar

被引:0
|
作者
Kong, Fanxing [1 ]
Zhang, Yan [2 ]
Palmer, Robert [3 ]
机构
[1] Univ Oklahoma, Adv Radar Res Ctr, 3190 Monitor Ave, Norman, OK 73019 USA
[2] Univ Oklahoma, Sch Elect & Comp Engn, Adv Radar Res Ctr, Norman, OK 73019 USA
[3] Univ Oklahoma, Sch Meteorol, Adv Radar Res Ctr, Norman, OK 73019 USA
关键词
D O I
暂无
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
The wind turbine interference to radar, usually referred to as the wind turbine clutter can severely degrade radar data quality, which may further impact critical radar operations. The blade rotation, a micro motion regarding to the overall structure, can create complicated Doppler modulations, which state-of-the-art ground clutter filter failed to mitigate. A case study of large utility scale wind turbines using a mobile weather radar was carried out. The goal of the experiment is to explore what useful information can be extracted from the micro-Doppler radar signature of wind turbines, such as the wind direction at each wind turbine and blade structural information.
引用
收藏
页码:889 / 892
页数:4
相关论文
共 50 条
  • [1] Micro-Motion Signatures in Radar Angular Velocity Measurements
    Nanzer, Jeffrey A.
    2016 IEEE RADAR CONFERENCE (RADARCONF), 2016, : 885 - 888
  • [2] Human Activity Classification Based on Dual Micro-Motion Signatures Using Interferometric Radar
    Hassan, Shahid
    Wang, Xiangrong
    Ishtiaq, Saima
    Ullah, Nasim
    Mohammad, Alsharef
    Noorwali, Abdulfattah
    REMOTE SENSING, 2023, 15 (07)
  • [3] Micro-motion Parameters Estimation Using Randomized Stepped Frequency Radar
    Zhao, Chuncheng
    Liu, Yimin
    Huang, Tianyao
    Wang, Lei
    Tan, Huaiying
    2019 IEEE RADAR CONFERENCE (RADARCONF), 2019,
  • [4] Classification of Human Motions Using Micro-Doppler Radar in the Environments with Micro-Motion Interference
    Ma, Xiaolin
    Zhao, Running
    Liu, Xinhua
    Kuang, Hailan
    Al-qaness, Mohammed A. A.
    SENSORS, 2019, 19 (11)
  • [5] In-home Activity and Micro-motion Logging Using Mobile Robot with Kinect
    Nakahara, Keita
    Yamaguchi, Hirozumi
    Higashino, Teruo
    ADJUNCT PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING NETWORKING AND SERVICES (MOBIQUITOUS 2016), 2016, : 106 - 111
  • [6] Hough transform-based large micro-motion target detection and estimation in synthetic aperture radar
    Zhou, Yang
    Bi, Daping
    Shen, Aiguo
    Wang, Xiaoping
    IET RADAR SONAR AND NAVIGATION, 2019, 13 (04): : 558 - 565
  • [7] Human Motion Analysis and Classification Using Radar Micro-Doppler Signatures
    Hematian, Amirshahram
    Yang, Yinan
    Lu, Chao
    Yazdani, Sepideh
    SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATIONS, 2016, 654 : 1 - 10
  • [8] Experimental Study on Micro-Doppler Effect and Micro-Motion Characteristics of aerial targets based on holographic staring Radar
    Wu, Qi
    Chen, Jie
    Wu, Hongming
    Zhang, Yue
    Chen, Zengping
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 1186 - 1190
  • [9] Micro-Motion Parameter Extraction for Ballistic Missile with Wideband Radar Using Improved Ensemble EMD Method
    Zhu, Nannan
    Hu, Jun
    Xu, Shiyou
    Wu, Wenzhen
    Zhang, Yunfan
    Chen, Zengping
    REMOTE SENSING, 2021, 13 (17)
  • [10] Measurements and Modelling of Radar Signatures of Large Wind Turbine Using Multiple Sensors
    Al-Mashhadani, Waleed
    Brown, Anthony
    Danoon, Laith
    Horne, Colin
    Palama, Riccardo
    Griffiths, Hugh
    Patel, Jarez
    Fioranelli, Francesco
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1389 - 1394