Amplitude scintillation detection with geodetic GNSS receivers leveraging machine learning decision tree  

作　　者：Wang Li Yiping Jiang Hongyuan Ji Wenqiang Wei 

机构地区：[1]Department of Aeronautical and Aviation Engineering,The Hong Kong Polytechnic University,Hung Hom,Hong Kong,SAR [2]The School of Electronics and Communication Engineering,Sun Yat-sen University,Xingang Xi Road,Guangzhou,People’s Republic of China

出　　处：《Satellite Navigation》2024年第3期131-141,共11页卫星导航(英文)

基　　金：supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region,China (Project No.25202520,15214523);the National Natural Science Foundation of China (Grant No.42004029).

摘　　要：The amplitude scintillation detection is typically achieved by using the scintillation index generated by dedicated and costly ionospheric scintillation monitoring receivers(ISMRs).Considering the large volume of common Global Navigation Satellite System(GNSS)receivers,this paper presents a strategy to accurately identify the ionospheric amplitude scintillation events utilizing the measurements collected with geodetic GNSS receivers.The proposed detection method relies on a pre-trained machine learning decision tree algorithm,leveraging the scintillation index computed from the carrier-to-noise data and elevation angles collected at 1-Hz.The experimental results using real data demonstrate a 99%accuracy in scintillation detection can be achieved.By combining advanced machine learning techniques with geodetic GNSS receivers,this approach is feasible to effectively detect ionospheric scintillation using non-scintillation GNSS receivers.

关 键 词：lonosphere Amplitude scintillation Machine learning 

分 类 号：P228.4[天文地球—大地测量学与测量工程]