Reducing The GPS Ambiguity Search Space By Including Inertial Data

Jan Skaloud

Abstract:	This contribution considers the GPS kinematic model with code and carrier phase double difference measurements over a short baseline and studies the integer ambiguity estimation and validation problem when high quality inertial data are available. The least squares estimator for single frequency GPS data and a somewhat simplified inertial model are derived and their properties are discussed. Special attention is given to the ambiguity search space, whose properties directly relate to the problem of ambiguity estimation and validation. Presented analytical expressions provide insight about how the use of inertial data influences the location and the size of the ambiguity search space. Computer simulations demonstrate the conditions under which inertial data improves the ambiguity resolution process. In most cases, using inertial data will result in greater applicability of an on-the-fly (OTF) search algorithm since the ambiguities can be determined over shorter time spans and with fewer satellites.
Published in:	Proceedings of the 11th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1998) September 15 - 18, 1998 Nashville, TN
Pages:	2073 - 2080
Cite this article:	Skaloud, Jan, "Reducing The GPS Ambiguity Search Space By Including Inertial Data," Proceedings of the 11th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 1998), Nashville, TN, September 1998, pp. 2073-2080.
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