Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xueen Zheng"'
Autor:
Xueen Zheng, Chengdong Xu, Yudong Wang, Haoming Zou, Xijuan Lv, Shuai Zhao, Yansong Shi, Qinghai Shu
Publikováno v:
IEEE Access, Vol 9, Pp 55833-55843 (2021)
In this article, the problem of receiver autonomous integrity monitoring (RAIM) is transformed into a modeling problem using dynamic data and an artificial neural network. A new RAIM method based on a probabilistic neural network (P-RAIM) is presente
Externí odkaz:
https://doaj.org/article/5ae0dd48046b454489631931cac59f7d
Publikováno v:
IEEE Access, Vol 7, Pp 70102-70116 (2019)
Utilizing the least squares residuals (LSR) algorithm to detect the faulty satellite, the faulty satellite with a large characteristic slope will bring a high miss detection risk (MDR) and that with a small characteristic slope will bring a high fals
Externí odkaz:
https://doaj.org/article/98950b7539724191be8f343bc7a50a26
Publikováno v:
Advances in Space Research. 71:4173-4184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c4aab0489a89bdda43be7324d5b408
https://doi.org/10.1016/j.asr.2022.12.051
https://doi.org/10.1016/j.asr.2022.12.051
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
The availability of advanced receiver autonomous integrity monitoring for vertical guidance down to altitudes of 200 ft (LPV-200) is discussed using real satellite orbit/ephemeris data collected at eight international global navigation satellite syst
Externí odkaz:
https://doaj.org/article/2b323509a7ed43659c0ab184690cab94
Autor:
Qinghai Shu, Chengdong Xu, Shi Yansong, Wang Yudong, Xijuan Lv, Xueen Zheng, Shuai Zhao, Haoming Zou
Publikováno v:
IEEE Access, Vol 9, Pp 55833-55843 (2021)
In this article, the problem of receiver autonomous integrity monitoring (RAIM) is transformed into a modeling problem using dynamic data and an artificial neural network. A new RAIM method based on a probabilistic neural network (P-RAIM) is presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab283612790d6531d12229ef49975eb3
https://doi.org/10.1109/access.2021.3070658
https://doi.org/10.1109/access.2021.3070658
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 233:1900-1915
Commonly, the code noise and multipath error is considered to fully obey the Gaussian distribution. While in the cases with different elevation angles and orbit types, the assumption may be inappropriate. Based on an empirical study, by considering b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcd329030f47718b3067e658be56e4ab
https://doi.org/10.1177/0954410018765561
https://doi.org/10.1177/0954410018765561
Publikováno v:
China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I ISBN: 9789811045875
As a promising fault detection algorithm, Advanced Receiver Autonomous Integrity Monitoring (ARAIM) was widely researched by European Space Agency (ESA) and the Federal Aviation Administration (FAA). To meet the requirement of precision approach base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9252de9b1baa3ddcf6848837e2cd1d62
https://doi.org/10.1007/978-981-10-4588-2_59
https://doi.org/10.1007/978-981-10-4588-2_59
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
The availability of advanced receiver autonomous integrity monitoring for vertical guidance down to altitudes of 200 ft (LPV-200) is discussed using real satellite orbit/ephemeris data collected at eight international global navigation satellite syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd4d725887b154140cdf606a08db461
https://doi.org/10.1177/1687814018776191
https://doi.org/10.1177/1687814018776191
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering; Apr2019, Vol. 233 Issue 5, p1900-1915, 16p
These proceedings present selected research papers from CSNC2017, held during 23th-25th May in Shanghai, China. The theme of CSNC2017 is Positioning, Connecting All. These papers discuss the technologies and applications of the Global Navigation Sate