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Testing a new multivariate GNSS carrier phase attitude determination method for remote sensing platforms

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Open access
Authors
Giorgi, G.
Teunissen, Peter
Verhagen, S.
Buist, P.
Date
2010
Type
Journal Article

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Giorgi, Gabriele and Teunissen, Peter J.G. and Verhagen, Sandra and Buist, Peter J. 2010. Testing a new multivariate GNSS carrier phase attitude determination method for remote sensing platforms. Advances in Space Research. 46 (2): pp. 118-129.
Source Title
Advances in Space Research
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Department of Spatial Sciences
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NOTICE: This is the author’s version of a work that was accepted for publication in Advances in Space Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to thiswork since it was submitted for publication. A definitive version was subsequently published in Advances in Space Research [46, 2, 2010] DOI 10.1016/j.asr.2010.02.023

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Abstract

GNSS (Global Navigation Satellite Systems)-based attitude determination is an important field of study, since it is a valuable technique for the orientation estimation of remote sensing platforms. To achieve highly accurate angular estimates, the precise GNSS carrier phase observables must be employed. However, in order to take full advantage of the high precision, the unknown integer ambiguities of the carrier phase observables need to be resolved. This contribution presents a GNSS carrier phase-based attitude determination method that determines the integer ambiguities and attitude in an integral manner, thereby fully exploiting the known body geometry of the multi-antennae configuration. It is shown that this integral approach aids the ambiguity resolution process tremendously and strongly improves the capacity of fixing the correct set of integer ambiguities.In this contribution, the challenging scenario of single-epoch, single-frequency attitude determination is addressed. This guarantees a total independence from carrier phase slips and losses of lock, and it also does not require any a priori motion model for the platform. The method presented is a multivariate constrained version of the popular LAMBDA method and it is tested on data collected during an airborne remote sensing campaign.