摘要
针对民航飞机鸟击事件多发于起飞和着陆阶段的特点,提出了一种基于三坐标搜索雷达、毫米波高分辨观测雷达与光学辅助设备的机场鸟情监测系统。介绍了监测系统的功能、系统组成与工作流程,描述了以神经网络为核心的鸟情信息处理系统以及神经网络的层次结构,探讨了训练模型和工作模型。通过对系统观测数据的特征提取和处理,结合鸟类运动规律,实现分类判决、鸟群数量估计及威胁度分析。
Aiming at the characteristics that the bird strike hazards of civil aviation aircraft often occur during takeoff and landing,an airport avian information monitoring system based on three-dimensional searching radar,millimeter-wave high resolution observing radar and optical auxiliary equipment is presented.The functions,composition and workflow of the system are introduced.The avian information processing system based on neural network and the hierarchical structure of neural network are described in detail.The training model and working model are discussed.Based on avian motion rule,the bird classification,number estimation and threat analysis are realized by feature extraction and processing of system observation data.
出处
《无线电工程》
2011年第10期21-23,43,共4页
Radio Engineering
关键词
机场
鸟情
三维探测
信息处理
神经网络
airport
avian information
three-dimensional detection
information processing
neural network