LIU Tao,LIAO Wei,QIN Liehua,et al.Wind Vector Inversion Method of based on ADS-B Data[J].Journal of Chengdu University of Information Technology,2020,35(04):412-418.[doi:10.16836/j.cnki.jcuit.2020.04.008]
基于ADS-B数据的风矢量反演方法
- Title:
- Wind Vector Inversion Method of based on ADS-B Data
- 文章编号:
- 2096-1618(2020)04-0412-07
- 分类号:
- TM413
- 文献标志码:
- A
- 摘要:
- 在影响航空安全运行的重要因素中,风场是最重要的航空气象信息之一。现有的风场探测技术如雷达、探空等存在诸多不足; 实时性和高时空分辨率等应用需求对机场风场探测提出了新挑战。基于广播式自动相关监视(ADS-B)数据的风场反演是一种新颖的方法,能有效地解决机场风场探测和重构的实时性和分辨率问题。风场探测的前提步骤是风矢量的反演,就此展开研究。对局部空间和时间内的风矢量进行建模和反演方法的研究,并采用实际的ADS-B下行数据进行分析和验证。实验结果证明该方法针对单个飞机的转弯数据或者同一个有限空域内多个飞机数据具有良好的反演效果
- Abstract:
- Among the important factors affecting aviation safe operation, wind field is one of the most important aviation meteorological information. The existing wind field detection techniques, such as radar, air exploration and so on, have many inherent defects. The inversion method based on Automatic Dependent Surveillance-broadcast(ADS-B)system is a novel one, which can effectively solve the real-time and resolution problems of wind field detection and reconstruction in the airport region. The first step of this novel method is the inversion of wind vector, which is the research aim of this paper. The wind vector in local space and time is modeled and the inversion method is studied, and the actual ADS-B downlink data is used to analyze and verify. The experimental results show that the method has a good inversion effect for single aircraft turning data or multiple aircraft data in the same local airspace
参考文献/References:
[1] 李璇.风切变时进近管制区域运行安全风险分析[J].安全,2019,40(11):25-29.
[2] 许波,周红根,肖晨,等.基于最小二乘法的风廓线雷达风场合成技术[J].气象水文海洋仪器,2019,36(1):51-55.
[3] 刘雪佳.多普勒天气雷达在航空气象服务中的应用[J].科技风,2015(10):89.
[4] 杨茂胜.机场激光雷达风切变监测系统[D].成都:电子科技大学,2014.
[5] 冒晓莉,张加宏,肖韶荣,等.基于流体动力学的探空仪GTS1湿度测量误差修正研究[J].地球物理学报,2016,59(12):4791-4805.
[6] Leege A M P De,Mulder M,Paassen M M V.Novel Method for Wind Estimation Using Automatic Dependent Surveillance-broadcast[J].Journal of Guidance,Control,and Dynamics,2012,35(2):648-653.
[7] Guan Jhih Liou,Shau Shiun Jan.Using on air UAT/ADS-B signal to simulate 3D aviation weather information[P].Position,Location and Navigation Symposium-PLANS 2014,2014 IEEE/ION,2014.
[8] Ting WenYao,Jan Shaushiun.Development of An Aviation Unusual Weather Now-casting System based on Aircraft Automatic Dependent Surveillance-broadcast(ADS-B)Data[C].Proceedings of 18th Conference on Ariation,Aange,and Meteorology,Seattle,Washington,2017:1-4.
[9] V(^overu),Huy.ADS-B and Mode S Data for Aviation Meteorology and Aircraft Performance Modelling[D].Netherlands:Faculty of Aerospace Engineering,Delft University ofTechnolgy,2018.
[10] 郝星.广播式自动相关监视技术的应用探析[J].通讯世界,2016(3):69.
[11] 付立.民用航空广播式自动相关监视数据输出标准研究[J].交通建设与管理,2014(18):235-237.
[12] Hurter Christophe.Wind parameters extraction from aircraft trajectories[J].Computers, Environment and Urban Systems,2014,47:28-43.
[13] 冯建锋,鱼佳欣,刘明菊,等.ADS-B Category 021报文解析软件的设计与实现[J].计算技术与自动化,2017,36(4):115-118.
相似文献/References:
[1]甄福东,周淑玥,陈丽晶,等.基于广播式自动相关监视系统的高空风场短时预测方法研究[J].成都信息工程大学学报,2022,37(06):642.[doi:10.16836/j.cnki.jcuit.2022.06.005]
ZHEN Fudong,ZHOU Shuyue,CHEN Lijing,et al.Research on Short-term Prediction Method of High-altitude Wind Field based on ADS-B[J].Journal of Chengdu University of Information Technology,2022,37(04):642.[doi:10.16836/j.cnki.jcuit.2022.06.005]
[2]朱嘉慧,王海江,李 静,等.Meteo-particle模型在ADS-B风场反演中的性能研究[J].成都信息工程大学学报,2021,36(05):479.[doi:10.16836/j.cnki.jcuit.2021.05.001]
ZHU Jiahui,WANG Haijiang,LI Jing,et al.Study on the Performance of the Meteo-particle Model in Wind Field Retrieval with ADS-B[J].Journal of Chengdu University of Information Technology,2021,36(04):479.[doi:10.16836/j.cnki.jcuit.2021.05.001]
备注/Memo
收稿日期:2019-11-19