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Ionospheric correlation analysis and spatial threat model for SBAS in China region
Jin, Biao1,2; Chen, Shanshan1; Li, Dongjun1; Takka, Elhadi3; Li, Zishen4; Qu, Pengcheng1
Source PublicationAdvances in Space Research
2020
DOI10.1016/j.asr.2020.05.010
Contribution Rank第2完成单位
Indexed ByEI
KeywordSBAS GIVE Ionospheric correlation Undersampled threat model
Abstract

 

Satellite Based Augmentation Systems (SBAS) broadcasts to users Grid Ionospheric Vertical Delays (GIVDs) and associated confidence bounds called Grid Ionospheric Vertical Errors (GIVEs) at Ionospheric Grid Points (IGPs). The correlation structure of ionosphere and undersampled threat should be taken into account in the generation of GIVE to meet the integrity requirement. In this contribution, the correlation structure of ionosphere over China was investigated and a primary undersampled threat model was built for the development of BDSBAS. Planar fit algorithm was used to estimate the GIVDs, the correlation structure was yielded from the differences and residuals of the vertical delays at Ionospheric Pierce Points (IPPs). Then undersampled threat model was created with data deprivation method. Five days’ data collected by 24 stations spread over China was selected to perform the correlation analysis and develop the threat model. Based on the correlation analysis, a maximum fit radius of 1500 km and a decorrelation value of 0.5 m were recommended for China area. Due to the ionospheric irregularity which could affect the region under the latitude of 30°N, a fit radius of 1300 km was suggested to improve the system availability. With the spatial threat model, it was found high latitude region owned a smaller threat value due to the relative quiet ionospheric condition. Relative Centroid Metric (RCM) less than 0.5 was proposed for determining the locations of BDSBAS’ sites. Threat models derived with different cut-off elevation angle were investigated and 5° elevation mask was proposed to generate the threat model.

Funding ProjectEquipment Pre-research Foundation of China[61405180103] ; National Natural Science Foundation of China[41974041] ; National Key Research Program of China[2017YFE0131400]
Funding OrganizationEquipment Pre-research Foundation of China[61405180103] ; National Natural Science Foundation of China[41974041] ; National Key Research Program of China[2017YFE0131400]
Language英语
Subject Area天文学 ; 空间天文学
MOST Discipline Catalogue理学 ; 理学::天文学
SubtypeArticle in Press
ISSN02731177
URL查看原文
EI Accession Number20202308777679
EI KeywordsCorrelation methods
EI Classification Number443.1 Atmospheric Properties - 922.2 Mathematical Statistics
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/23276
Collection其他
Corresponding AuthorJin, Biao
Affiliation1.Space Start Technology Co., LTD, HaiDian, Beijing; 100194, China
2.Yunnan Observatory, Chinese Academy of Sciences, Kunming; 650011, China
3.Ecole Militaire Polytechnique, Bordj el Bahri, Algiers; 16111, Algeria
4.Aerospace Information Research Institute, Chinese Academy of Sciences, HaiDian, Beijing; 100094, China
First Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Corresponding Author AffilicationYunnan Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jin, Biao,Chen, Shanshan,Li, Dongjun,et al. Ionospheric correlation analysis and spatial threat model for SBAS in China region[J]. Advances in Space Research,2020.
APA Jin, Biao,Chen, Shanshan,Li, Dongjun,Takka, Elhadi,Li, Zishen,&Qu, Pengcheng.(2020).Ionospheric correlation analysis and spatial threat model for SBAS in China region.Advances in Space Research.
MLA Jin, Biao,et al."Ionospheric correlation analysis and spatial threat model for SBAS in China region".Advances in Space Research (2020).
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