Kinematic GPS batch processing, improving ambiguity fixing performances

• Autorzy: Roggero M.
• Konferencja: Bilateral Geodetic Meeting Poland-Italy (8th; 22-24.06.2006; Wrocław, Poland)
• Języki publikacji: EN

Abstrakty

EN

In kinematic observation processing the equivalence between the state space approach (Kalman filtering plus smmothing) and the last squares approach including dynamic has been shown (Albertellat al. 2006). we have specialized the proposed batch solution (least squares including dynamic), considering the case of discrete-time linear systems with constant biases, applying the algorithm to estimate the float ambiguities and their variance-covariance matrix in GPS observations (Roggero, 2006). The improvements in ambiguity fixing performances will be shown, through the ADOP, the dimension of the search space and the success rate.

Słowa kluczowe

EN

geokinematics; GPS project

PL

geokinematyka; GPS projekt

• Wydawca: Wydział Geodezji i Kartografii Politechniki Warszawskiej
• Czasopismo: Reports on Geodesy
• Rocznik: 2006
• Tom: z. 2/77
• Strony: 227--234
• Opis fizyczny: Bibliogr. 11 poz., wykr.

Twórcy

autor

Roggero M.

• Politecnico di Torino Italy,

Bibliografia

• Teunissen P.J.G., de Jonge P.J., and Tiberius C.C.J.M. (1996), The Volume of the GPS Ambiguity Search Space and its Relevance for Integer Ambiguity Resolution, In Proceedings of ION GPS-96, Kansas City, Missouri, pp. 889-898.
• Teunissen P.J.G. (1997). Closed form expressions for the volume of the GPS ambiguity search spaces, In: Artificial Satellites, Journal of Planetary Geodesy, publ. in Affiliation with the space research centre of Polish Ac. of Sciences, 32(1), pp. 5-20.
• Teunissen P.J.G. (1997). A canonical theory for short GPS baselines, Part I-IV, Journal of Geodesy, Vol. 71, pp. 320-326, 389-401, 486-501, 513-525.
• Skaloud J. (1998), Reducing The GPS Ambiguity Search Space By Including Inertial Data, In Proceedings of ION-GPS-98, Nashville, Tennessee, pp. 2073-2080.
• Teunissen P.J.G. (1999). The effect on GNSS ambiguity resolution of using an approximate weight matrix, Artificial Satellites, Journal of Planetary Geodesy, publ. in Affiliation with the space research centre of Polish Ac. of Sciences, 34(2), pp. 59-64.
• Kailath T., Sayed A.H., Hassibi B. (2000). Linear estimation, Prentice Hall, New Jersey.
• Saad Y. (2000). Iterative methods for sparse linear systems, Second edition with corrections.
• Teunissen P. (2001). Dynamic data processing, Delft University Press.
• Colomina I., Blàzquez M. (2004). A unified approach to static and dynamie modelling in photogrammetry and remote sensing, In: Altan, O. (ed.), Proceedings of the XXth ISPRS Congress, Istanbul, pp. 178-183.
• Albeitella A., Betti B., Sansò F., Tornatore V. (2006). Real time and batch navigation solutions: alternative approaches, In: Bottettino SSFET, n. 2 - 2006.
• Roggero M. (2006). Kinematic GPS Batch Processing, a Source for Large Sparse Problems, In: Proceedings of VI Hotine-Marussi Symposium, Wuhan.