Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220

被引:4
|
作者
Kameyama, Shumpei [1 ]
Furuta, Masashi [2 ]
Yoshikawa, Eiichi [3 ]
机构
[1] Mitsubishi Electr Corp, Informat Technol Res & Dev Ctr, Kamakura, Kanagawa 2478501, Japan
[2] Mitsubishi Electr Corp, Commun Syst Ctr, Amagasaki, Hyogo 6618661, Japan
[3] Japan Aerosp Explorat Agcy, Mitaka, Tokyo 1810015, Japan
关键词
Atmospheric modeling; Signal to noise ratio; Aircraft; Backscatter; Mathematical models; Aerosols; Wind speed; Airborne; aviation safety; DO-220; lidar; minimum operational performance standards (MOPS); turbulence; wind; windshear; AEROSOL BACKSCATTER; TURBULENCE DETECTION; ATMOSPHERIC AEROSOL; DISSIPATION RATE; LASER-RADAR; VELOCITY; SENSOR;
D O I
10.1109/TGRS.2022.3231848
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The performance simulation theory of low-level wind shear (LLWS) detection using an airborne coherent Doppler lidar (CDL) is shown. The simulation theory that this performance is based on is analogous to the turbulence and wind shear detections with an airborne Doppler radar, as specified in the radio technical commission for aeronautics (RTCA) document (DO)-220. Prior theoretical studies of CDL regarding: 1) signal-to-noise ratio (SNR) equation; 2) the relation between SNR and wind sensing performance; and 3) atmospheric parameters are fully utilized. An example simulation result under a practical condition satisfies the requirements to specify minimum operational performance standards (MOPS) in DO-220. Further, the simulation result is well aligned with past experimental results on the detectable range of LLWS. The results of this study can be utilized to establish MOPS for LLWS detections using an airborne CDL in the future.
引用
收藏
页数:12
相关论文
共 14 条
  • [1] Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220
    Kameyama, Shumpei
    Furuta, Masashi
    Yoshikawa, Eiichi
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [2] Low-level wind shear observation based on different physical mechanisms by coherent Doppler lidar
    Liu Xiao-Ying
    Wu Song-Hua
    Zhang Hong-Wei
    He Zhi-Qiang
    Zhang Jian-Jun
    Wang Xiao-Ye
    Chen Xiao-Min
    JOURNAL OF INFRARED AND MILLIMETER WAVES, 2020, 39 (04) : 491 - 504
  • [3] Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar
    Zhang, Hongwei
    Liu, Xiaoying
    Wang, Qichao
    Zhang, Jianjun
    He, Zhiqiang
    Zhang, Xi
    Li, Rongzhong
    Zhang, Kailin
    Tang, Junwu
    Wu, Songhua
    ATMOSPHERE, 2021, 12 (01)
  • [4] Observation of nocturnal low-level wind shear and particulate matter in urban Beijing using a Doppler wind lidar
    CHEN Yong
    AN Jun-Ling
    LIN Jian
    SUN Ye-Le
    WANG Xi-Quan
    WANG Zi-Fa
    DUAN Jing
    Atmospheric and Oceanic Science Letters, 2017, 10 (06) : 411 - 417
  • [5] Quickly Sample and Reconstruct for Low-level Wind Shear Data Measured by Coherent Lidar
    Ma, Yuechao
    Li, Sining
    Lu, Wei
    PROCEEDINGS OF 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY (ICEICT 2019), 2019, : 278 - 282
  • [6] Observation of Low-Level Jets in the Eastern Tropical Indian Ocean Based on Shipborne Coherent Doppler Lidar
    WANG Haiyuan
    LIU Lin
    FAN Mengqi
    YANG Yang
    YANG Guang
    DUAN Yongliang
    LIU Baochao
    SU Qinglei
    ZHANG Binbin
    WANG Fengjun
    SHI Xuliang
    LI Qiuchi
    ZENG Ai
    Journal of Ocean University of China, 2024, 23 (05) : 1163 - 1172
  • [7] Observation of Low-Level Jets in the Eastern Tropical Indian Ocean Based on Shipborne Coherent Doppler Lidar
    Wang, Haiyuan
    Liu, Lin
    Fan, Mengqi
    Yang, Yang
    Yang, Guang
    Duan, Yongliang
    Liu, Baochao
    Su, Qinglei
    Zhang, Binbin
    Wang, Fengjun
    Shi, Xuliang
    Li, Qiuchi
    Zeng, Ai
    JOURNAL OF OCEAN UNIVERSITY OF CHINA, 2024, 23 (05) : 1163 - 1172
  • [8] Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China
    Lanqian Li
    Aimei Shao
    Kaijun Zhang
    Nan Ding
    Pak-Wai Chan
    Journal of Meteorological Research, 2020, 34 : 633 - 645
  • [9] Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China
    Lanqian LI
    Aimei SHAO
    Kaijun ZHANG
    Nan DING
    Pak-Wai CHAN
    JournalofMeteorologicalResearch, 2020, 34 (03) : 633 - 645
  • [10] Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China
    Li, Lanqian
    Shao, Aimei
    Zhang, Kaijun
    Ding, Nan
    Chan, Pak-Wai
    JOURNAL OF METEOROLOGICAL RESEARCH, 2020, 34 (03) : 633 - 645