Print Email Facebook Twitter Integer ambiguity resolution with nonlinear geometrical constraints Title Integer ambiguity resolution with nonlinear geometrical constraints Author Giorgi, G. Teunissen, P.J.G. Verhagen, S. Buist, P.J. Faculty Aerospace Engineering Department Remote Sensing Date 2009-06-30 Abstract Integer ambiguity resolution is the key to obtain very accurate positioning solutions out of the GNSS observations. The Integer Least Squares (ILS) principle, a derivation of the least-squares principle applied to a linear system of equations in which some of the unknowns are subject to an integer constraint,was demonstrated to be optimal among the class of admissible integer estimators. In this contribution it is shown how to embed into the functional model a set of nonlinear geometrical constraints, which arise when considering a set of antennae mounted on a rigid platform. A method to solve for the new model is presented and tested: it is shown that the strengthened underlying model leads to an improved capacity of fixing the correct integer ambiguities. Subject constrained methodsGNSSinteger ambiguity resolution To reference this document use: http://resolver.tudelft.nl/uuid:965082d0-fbbf-4056-9d08-40348a17965c DOI https://doi.org/10.1007/978-3-642-22078-4_6 Publisher Springer ISSN 0939-9585 Source http://www.springerlink.com/content/mt215523v61g51g6/ Source VII Hotine-Marussi symposium on mathematical geodesy, Rome 6-10 June, 2009 International Association of Geodesy Symposia, vol.137 Part of collection Institutional Repository Document type conference paper Rights (c)2012 The Authors, Springer-Verlag Files PDF 2012-98Giorgi.pdf 171.72 KB Close viewer /islandora/object/uuid:965082d0-fbbf-4056-9d08-40348a17965c/datastream/OBJ/view