航空学报 > 2023, Vol. 44 Issue (5): 26781-026781   doi: 10.7527/S1000-6893.2022.26781

气象雷达探鸟技术综述

陈唯实1(), 刘佳2, 王青斌1, 卢贤锋1, 张洁1, 陈小龙3, 黄毅峰1   

  1. 1.中国民航科学技术研究院 机场研究所,北京 100028
    2.北京航空航天大学 前沿科学技术创新研究院,北京 100191
    3.海军航空大学,烟台 264001
  • 收稿日期:2021-12-08 修回日期:2021-12-27 接受日期:2022-01-27 出版日期:2023-03-15 发布日期:2022-02-17
  • 通讯作者: 陈唯实 E-mail:wishchen@buaa.edu.cn
  • 基金资助:
    国家自然科学基金委员会-中国民用航空局民航联合研究基金(U2133216);北航“双一流”引导专项课题(ZG216S2182)

Review on technology of bird detection with weather radar

Weishi CHEN1(), Jia LIU2, Qingbin WANG1, Xianfeng LU1, Jie ZHANG1, Xiaolong CHEN3, Yifeng HUANG1   

  1. 1.Airport Research Institute,China Academy of Civil Aviation Science and Technology,Beijing 100028,China
    2.Research Institute for Frontier Science,Beihang University,Beijing 100191,China
    3.Naval Aviation University,Yantai 264001,China
  • Received:2021-12-08 Revised:2021-12-27 Accepted:2022-01-27 Online:2023-03-15 Published:2022-02-17
  • Contact: Weishi CHEN E-mail:wishchen@buaa.edu.cn
  • Supported by:
    Joint fund of the National Natural Science Foundation of China (NSFC) and Civil Aviation Administration of China (CAAC)(U2133216);BeiHang Zhuo Bai Program(ZG216S2182)

摘要:

气象雷达组网特别适用于大陆范围内鸟类大规模活动的观测。首先介绍了美国和欧洲相对成熟的基于气象雷达组网的鸟情预警系统,并对二者的性能进行了对比分析。然后,从目标回波幅度、高度分布、飞行速度和方向等方面分析了气象雷达飞鸟目标的回波特性,进而讨论了杂波抑制、气象信息剔除、飞鸟目标特征提取、机器学习、交叉验证等气象雷达鸟情信息提取技术。在此基础上,介绍了气象雷达组网探鸟在鸟类生态学研究和鸟击防范方面的应用。最后,从探测覆盖范围和气象雷达系统性能2个方面,讨论了在中国建立基于气象雷达组网的全国鸟情预警系统的初步构想。

关键词: 气象雷达, 杂波抑制, 机器学习, 鸟情预警, 鸟击防范

Abstract:

The weather radar network is especially suitable for observation of large-scale bird activities on the continent. This paper first introduces the relatively mature bird early warning systems based on the weather radar networks in the United States and Europe, and makes a comparative analysis of their performance. Then, the echo characteristics of the weather radar bird target are analyzed in terms of echo amplitude, altitude distribution, flight speed and direction, and then the bird information extraction technologies including clutter suppression, weather information elimination, bird target feature extraction, machine learning, and cross validation are discussed. On this basis, the applications of bird detection with the weather radar network in bird ecology research and bird strike avoidance are introduced. The preliminary idea of establishing a national bird surveillance system based on the weather radar network in China is discussed in terms of detection coverage and weather radar system performance.

Key words: weather radar, clutter suppression, machine learning, bird warning, bird strike avoidance

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