Mixed Integer Estimation and Validation for Next Generation GNSS

Peter J.G. Teunissen
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Peter J.G. Teunissen: Curtin University of Technology, Department of Spatial Sciences

Chapter 37 in Handbook of Geomathematics, 2010, pp 1101-1127 from Springer

Abstract: Abstract The coming decade will bring a proliferation of Global Navigation Satellite Systems (GNSS) that are likely to revolutionize society in the same way as the mobile phone has done. The promise of a broader multi-frequency, multi-signal GNSS “system of systems” has the potential of enabling a much wider range of demanding applications compared to the current GPS-only situation. In order to achieve the highest accuracies one must exploit the unique properties of the received carrier signals. These properties include the multi-satellite system tracking, the mm-level measurement precision, the frequency diversity, and the integer ambiguities of the carrier phases. Successful exploitation of these properties results in an accuracy improvement of the estimated GNSS parameters of two orders of magnitude. The theory that underpins this ultraprecise GNSS parameter estimation and validation is the theory of integer inference. This theory is the topic of the present chapter.

Keywords: Probability Density Function; Global Navigation Satellite System; Global Navigation Satellite System; Probability Mass Function; Float Solution (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-01546-5_37

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