A distribution model of the GNSS code noise and multipath error considering both elevation angle and orbit type
| Autor: | Guochao Fan, Jing Zhao, Xueen Zheng, Chengdong Xu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Physics
010504 meteorology & atmospheric sciences Mechanical Engineering Gaussian BeiDou Navigation Satellite System Mathematical analysis Elevation Aerospace Engineering 01 natural sciences Noise (electronics) 010104 statistics & probability symbols.namesake GNSS applications Computer Science::Networking and Internet Architecture Code (cryptography) symbols 0101 mathematics Orbit (control theory) Multipath propagation Computer Science::Information Theory 0105 earth and related environmental sciences |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 233:1900-1915 |
| ISSN: | 2041-3025 0954-4100 |
| DOI: | 10.1177/0954410018765561 |
| Popis: | 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 both the elevation angle and the orbit type, a new code noise and multipath distribution model is proposed to describe a more accurate code noise and multipath distribution in this paper. Actual code noise and multipath data from 10 observation stations during two months are researched, and the parameters and elevation angle range of code noise and multipath distribution model are determined. The code noise and multipath distribution model is verified to be more accurate than the model presented in the Global Navigation Satellite System Evolutionary Architecture Study report, according to the analysis on the code noise and multipath overbounding, position error overbounding, and the availability of receiver autonomous integrity monitoring. This model provides more accurate prior information for receiver autonomous integrity monitoring, especially its availability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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