Kinematic GPS batch processing, a constrained solution applied to antenna array

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

Abstrakty

EN

Kinematic GPS observation processing requires robustness, especially in noisy environments. Ambiguity resolution robustness can be improved with multi base approach and parameters constraining. We consider a discrete-time linear systems with known dynamics, produced by a GPS antenna array mounted on a vehicle. Simulated and real data examples are given, where both system dynamics and geometric constraints strengthen ambiguities fixing. The developed algorithm works in a multi-base approach with the simplifying hypothesis of short baselines.

Słowa kluczowe

EN

geokinematics; GPS project

PL

geokinematyka; projekt GPS

• Wydawca: Wydział Geodezji i Kartografii Politechniki Warszawskiej
• Czasopismo: Reports on Geodesy
• Rocznik: 2006
• Tom: z. 2/77
• Strony: 235--240
• Opis fizyczny: Bibliogr. 11 poz., schem., wykr.

Twórcy

autor

Roggero M.

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.