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Titre : Untersuchung von GPS-Beobachtungen für kleinräumige geodätische Netze Titre original : [Recherche d'observations GPS pour les réseaux géodésiques dans un petit espace] Type de document : Monographie Auteurs : R. Hollmann, Auteur Editeur : Munich : Universität der Bundeswehr Année de publication : 2000 Collection : Schriftenreihe des Instituts für Geodäsie, ISSN 0173-1009 num. 69 Importance : 340 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] affaiblissement de la précision
[Termes IGN] ambiguïté entière
[Termes IGN] correction troposphérique
[Termes IGN] données GPS
[Termes IGN] équation linéaire
[Termes IGN] fiabilité des données
[Termes IGN] mesurage de phase
[Termes IGN] modèle de Gauss-Markov
[Termes IGN] phase GPS
[Termes IGN] précision du positionnement
[Termes IGN] propagation troposphérique
[Termes IGN] résidu
[Termes IGN] traitement de données GNSS
[Termes IGN] trajet multipleIndex. décimale : 30.61 Systèmes de Positionnement par Satellites du GNSS Numéro de notice : 68830 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=62022 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 68830-01 30.61 Livre Centre de documentation Géodésie Disponible Datumsprobleme und stochastische Aspekte beim GPS-Nivellement für lokale Ingenieurnetze / D. Zhong (1997)
Titre : Datumsprobleme und stochastische Aspekte beim GPS-Nivellement für lokale Ingenieurnetze Titre original : Datum problems and stochastic aspects in GPS leveling for local engineering networks Type de document : Monographie Auteurs : D. Zhong, Auteur Editeur : Munich : Universität der Bundeswehr Année de publication : 1997 Collection : Schriftenreihe des Instituts für Geodäsie, ISSN 0173-1009 num. 58 Importance : 160 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Systèmes de référence et réseaux
[Termes IGN] altitude orthométrique
[Termes IGN] compensation de coordonnées
[Termes IGN] modèle stochastique
[Termes IGN] positionnement par GPS
[Termes IGN] système de coordonnées
[Termes IGN] système de référence géodésique
[Termes IGN] transformation de coordonnéesIndex. décimale : 30.11 Transformation de coordonnées Résumé : (Auteur) With the wide use of the Global Positioning System (GPS) in geodetic positioning and engineering surveying, the research on combination models and methods for local terrestrial and satellite aided network observations has become one of the most fashionable and interesting tasks in the field of geodesy and engineering surveying. Considering especially the accurate determination of levelling heights with the help of GPS (GPS Levelling), the solution of this problem is critical to the exploitation of the full capacity of GPS for engineering surveying purposes.
The satellite aided observation results are coordinates of geometric nature in a geocentric coordinate system, while terrestrial network coordinates result from directions, zenith angles, spatial distances and height differences which are related to the gravity field. These two types of observations are different not only from their reference systems and datum information, but also from their height definitions. In order to combine these different heterogeneous observations to a homogeneous network, it is necessary to solve the following problems :
* hybrid datum problems : The different observation types contain different datum information which has to be unified for a consistent datum definition.
* The heterogeneous observations have different stochastic characteristics. To combine them optimally, a "correct" determination method of the stochastic model is to be found out.
* To combine different heights accurately, the influence of the local gravity field has to be studied and a local geoid model for the transformation between ellipsoidal GPS heights and terrestrial levelling heights has to be developed.
Only by solving these problems, it is possible to combine terrestrial and satellite aided network observations correctly and to achieve an accurate result. Different solution concepts for these problems are intensively discussed and studied by the means of theoretical considerations and practical numerical results. The principle solution concept is a synergetic integration of the adjustment results of different network observations (GPS-network, terrestrial network and information about local geoid). The numerical results of the practical adjustments of two engineering networks of high accuracy with different observation types show that the methods presented are efficient and significant to accuracy improvement of the combined adjustment results.Numéro de notice : 59257 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=60542 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 59257-01 30.11 Livre Centre de documentation Géodésie Disponible
Titre : Ein dynamisches Fehlermodell für GPS Autokorrelationsempfänger Titre original : [Un modèle dynamique d'erreurs pour un récepteur GPS] Type de document : Monographie Auteurs : Bernd Eissfeller, Auteur Editeur : Munich : Universität der Bundeswehr Année de publication : 1997 Collection : Schriftenreihe des Instituts für Geodäsie, ISSN 0173-1009 num. 55 Importance : 178 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] autocorrélation
[Termes IGN] modèle mathématique
[Termes IGN] modèle physique
[Termes IGN] signal GPS
[Termes IGN] trajet multipleIndex. décimale : 30.61 Systèmes de Positionnement par Satellites du GNSS Numéro de notice : 63943 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61240 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 63943-02 30.61 Livre Centre de documentation Géodésie Disponible 63943-01 30.61 Livre Centre de documentation Géodésie Disponible
Titre : Ein hybrides photogrammetrisches Industriemeßsystem höchster Genauigkeit und seine Überprüfung Titre original : [Un système de mesure hybride photogrammétrique industriel de haute précision et son contrôle] Type de document : Monographie Auteurs : J. Dold, Auteur Editeur : Munich : Universität der Bundeswehr Année de publication : 1997 Collection : Schriftenreihe des Instituts für Geodäsie, ISSN 0173-1009 num. 54 Importance : 136 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] photogrammétrie métrologiqueIndex. décimale : 33.70 Photogrammétrie terrestre Numéro de notice : 63942 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=61239 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 63942-01 33.70 Livre Centre de documentation Photogrammétrie - Lasergrammétrie Disponible
Titre : Filtermethoden zur fehlertoleranten kinematischen Positionsbestimmung Titre original : Filtering methods for error-tolerant kinematic positioning Type de document : Monographie Auteurs : J.G. Wang, Auteur Editeur : Munich : Universität der Bundeswehr Année de publication : 1997 Collection : Schriftenreihe des Instituts für Geodäsie, ISSN 0173-1009 num. 52 Importance : 135 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] compensation
[Termes IGN] erreur systématique
[Termes IGN] filtre de Kalman
[Termes IGN] GPS en mode cinématique
[Termes IGN] positionnement cinématique
[Termes IGN] varianceIndex. décimale : 30.61 Systèmes de Positionnement par Satellites du GNSS Résumé : (Auteur) The estimation process, the Kalman filter, is probably the most common optimal filtering technique for estimating the state of a linear system. In this thesis filtering methods for error-tolerant kinematic positioning are systemtic researched. This includes such topics as, statistical tests, the identification of gross errors in the observations, the identification of sensor systematic errors, the estimation of variance components and robust estimation in the Kalman filter.
With respect to theory, the analysis of reliability was incorporated into the theory of the Kalman filter as one of the most important parts on the quality control of a linear system. The method developed by Foerstner [19791 on the a-posteriori estimation of variance components was used for each type of observation and for all factors of the process noise in the Kalman filter. The difference between the FM-smoothing [Mayne, 1966; Fraser 1967] and the RTS-smoothing [Rauch, Tung, Striebel, 1965] was illuminated by objective functions and with the help of some examples. For the identification of gross errors a method was developed which makes use of additional parameters in the estimation process. The initialisation of these additional parameters can be introduced into the system as pseudo-observations, with expection zero and the very large variance. The robust method developed by Li [1983] was also realized in the Kalman filter.
With regard to the application of the Kalman filter to kinematic surveying, three models presented in this thesis were evaluated in the context of quality control with respect to accuracy, reliability, predictive residual errors, corrections of the observations and curvature of the filtered trajectories. Furthermore, statistical tests, methods for identification and compensation of gross errors in observations and methods for identification and compensation of sensor systematic errors and robust Kalman filter were investigated. All methods described in this thesis are put into practice with the help of simulated examples and were compared under the aspects mentioned above.
Chapter 1 gives an introduction to this thesis.
In Chapter 2 the fundamental principles of optimal linear filtering in discrete time is briefly introduced at first. Then the Kalman filter algorithm is derived using a least-squares approach. Afterwards it goes into the quality control in the Kalman filter. Especially the importance of the redundancies of the various kinds of observations is emphasized. The method of the a-posteriori estimation of variance components [Foerstner, 19791 will be used in the Kalman filter in this Chapter.
Chapter 3 presents the necessary fundamentals of kinematics
Chapter 4 is devoted to the establishment and evaluation of system models for kinematic positioning. The main aspects of Chapter 2 are realized for the filtering of land vehicle trajectories and are discussed in detail by three simulated examples. This performance analysis is very important for the practical application of the Kalman filter on kinematic positioning of land vehicle trajectories.
The next three Chapters, Chapter 5, 6 and 7, form two important parts of this thesis. The first one deals with the identification and compensation of gross errors in observations in Chapters 5 and 7. The second one deals with the identification and compensation of sensor systematic errors.
On one hand, the statistical tests and the recognizability of gross errors in observations are put up for the Kalman filter in Chapter 5. On the other hand, three proceedings are described for the identification and compensation of gross errors in the observations.
Chapter 6 concerns itself with the identification and compensation of sensor systematic errors. The considered systematic errors are constant, constant with a leap and time varying sensor systematic errors. The recognizability of the constant systematic error is also investigated in this Chapter.
Chapter 7 goes back to the handling of gross observation errors but only relating to robust Kalman filter. Two kinds of robust Kalman filter are described in detail. The first kind are the one-step methods, which are used directly in real time. The scaled-contaminated model and the methods which uses score functions based on the Bayes' theorem belong to this kind of robust Kalman filter. The second kind are the methods based on the weight or variance iteration of observations, which flow from the adjustment into the Kalman filter and are used in post processing. As examples, two algorithms are constructed with the Huber-function and the Hampel-function respectively. Besides, the robust method based on the a-posteriori estimation of variance components of observations, which was developed by Li [1983], is realized in the Kalman filter in this Chapter.
In Chapter 8, a strategy is presented for a comprehensive post processing of data from the kinematic surveying of land vehicle trajectory.
Chapter 9 summarizes the thesis.Numéro de notice : 61553 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=60949 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 61553-01 30.61 Livre Centre de documentation Géodésie Disponible PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkMéthodes modernes en géodésie : contributions au séminaire DVW, 12-14 Avril 1989, 1. Volume 1 / A. Schodlbauer (1990)
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