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Measurement accuracy in Network-RTK / R. Emardson in Bulletin of geodesy and geomatics BGG, vol 69 n° 2 - 3 (December 2010)

Public [article]  inBulletin of geodesy and geomatics BGG > vol 69 n° 2 - 3 (December 2010) . - pp 211 - 225 Titre : Measurement accuracy in Network-RTK Type de document : Article/Communication Auteurs : R. Emardson, Auteur ; P. Jarlemark, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 211 - 225 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes IGN] données BeiDou [Termes IGN] données Galileo [Termes IGN] données GLONASS [Termes IGN] données GPS [Termes IGN] erreur de positionnement [Termes IGN] hauteur ellipsoïdale [Termes IGN] positionnement cinématique en temps réel [Termes IGN] précision altimétrique [Termes IGN] précision du positionnement Résumé : (Auteur) New satellite systems such as the European Galileo and the ongoing modernization of GPS and GLONASS, allow for improvements in accurate positioning. Real Time Kinematic (RTK) is a system that utilises Global Navigation Satellite Systems (GNSS) to provide accurate positioning in real time. In this paper, we describe the error sources in network-RTK, and how the increased number of satellites and new signals are best served to achieve the desired improvement in performance. Using simulations we find that the inclusion of future satellite systems such as Galileo and Compass can reduce the error in the vertical coordinate of the estimated position from 27 mm to 20 mm for a reference network with 70 km between the reference stations. For periods with high spatial variability in the ionosphere, it is important to consider the tradeoff between influence from the ionosphere and from the local environment. A densified network with 35 km between the reference stations results in a similar improvement as the contribution of the new satellite systems. The error in the estimated vertical coordinate is reduced from 27 mm to 18 mm. Using both a densified network and the new satellite systems reduces the error further down to 13 mm. Numéro de notice : A2010-597 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31341 [article]

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Retrieval of atmospheric water vapour using a ground-based single-channel microwave radiometer / P. Jarlemark in International Journal of Remote Sensing IJRS, vol 24 n° 19 (October 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 19 (October 2003) . - pp 3821 - 3837 Titre : Retrieval of atmospheric water vapour using a ground-based single-channel microwave radiometer Type de document : Article/Communication Auteurs : P. Jarlemark, Auteur ; Gunnar Elgered, Auteur Année de publication : 2003 Article en page(s) : pp 3821 - 3837 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] atmosphère terrestre [Termes IGN] erreur moyenne quadratique [Termes IGN] filtre de Kalman [Termes IGN] radiomètre à hyperfréquence [Termes IGN] vapeur d'eau Résumé : (Auteur) Estimates of the amount of atmospheric water vapour derived from algorithms for a ground-based single-channel (21.OGHz) microwave radiometer have been investigated. Ten datasets covering 44 days were used to derive the methods and two other sets (in total 32 days) were used to assess the quality of these. It is shown how the rms estimation error can be reduced by recognizing the rapid variations in sky brightness temperatures during periods when cloud liquid is present. Data was either discarded, guided by the variability, or an adaptive Kalman filter was applied with different parameter values for different degrees of variability. The resulting estimates were compared to the estimates obtained from a dual-channel algorithm (2t.0 and 31.4GHz), which were used as reference. The amount of water vapour was represented as the 'wet delay', the excess radio path length due to the atmospheric water vapour. Applying the Kalman filter to the single-frequency estimates reduced the wet delay rms error from 20 mm to 9 and 14 mm for the two datasets. Further reduction of the rms error was achieved by the removal of data in periods with high variability; discarding about 40% of the data led to rms errors of 5 and 7 mm for the two datasets. Numéro de notice : A2003-281 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000023952 En ligne : https://doi.org/10.1080/0143116021000023952 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22576 [article]

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