摘要
机场场面飞机滑行过程的监控是保障机场安全运行中重要的一环,针对目前机场现有场面监视技术定位精度不高并且不能主动可靠地获取飞机位置的问题,提出了一种利用地面震动传感器主动识别飞机并监视滑行轨迹的方法,通过选择合适的地面震动传感器,采集地面震动信号,并对小波包分解去噪后的震动信号进行特征提取,通过特征向量的构建和支持向量机分类器以实现对飞机目标的识别和飞机滑行过程中的精确定位,从而实现滑行轨迹跟踪。
The airport aircraft taxiing process monitoring is an important part of the airport security safe operation,aiming at the problem that the existing monitoring technology of the airport does not have high positioning accuracy and cannot obtain the position of the aircraft proactively and reliably, a method of using the ground vibration sensor to proactively identify the aircraft and monitor the taxiing trajectory is proposed.By selecting the appropriate ground motion sensor, the ground vibration signal could be collected and extractedby using the wavelet packet de-noising, so as to achieve the identification of aircraft target and the precise location and taxiing trajectory tracking in the process of aircraft taxiing.
作者
张积洪
李昊
Ji-hong ZHANG;Hao LI(College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China)
出处
《机床与液压》
北大核心
2019年第12期12-18,共7页
Machine Tool & Hydraulics
基金
Civil Aviation Administration of 2015 energy saving and emission reduction special funds(DPDSR0009)~~
关键词
场面监控
地面震动传感器
小波包分解
特征提取
飞机目标识别
Scene monitoring
Ground vibration sensor
Wavelet packet decomposition
Feature extraction
Aircraft target recognition
