Triple-frequency GNSS models for PPP with float ambiguity estimation: performance comparison using GPS
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This contribution proposes two new precise point positioning (PPP) models that use triple-frequency data, designed to accelerate convergence of carrier-phase float ambiguities. The first model uses a triple-frequency ionosphere-free linear combination that has minimum noise propagation and geometry-preserving properties. The second model uses a mixed code and carrier-phase linear combination with the same properties. A third model was also implemented, which uses individual uncombined triple-frequency measurements. The three models were validated using triple-frequency GPS data and their performance was compared to the traditional dual-frequency model in terms of the convergence time taken to achieve and maintain a uniform three-dimensional accuracy of 5 cm. Testing includes PPP processing of 1-h measurement blocks using 1–8 days of data from three locations in Australia. It was shown that all the three triple-frequency models had improved solution convergence time compared to the traditional PPP dual-frequency model although they gave almost similar accuracy and precision. The convergence time, when using the triple-frequency ionosphere-free model improved, by 10%, the improvement was 9% when using the mixed code-phase model, whereas the individual uncombined model resulted in 8% improvement.
Open access to this article is currently embargoed until 02 12 2017
This is an Author's Original Manuscript of an article published by Taylor & Francis in the Journal of Survey Review on 02 12 2016 available online at <a href="http://www.tandfonline.com/10.1080/00396265.2016.1263179">http://www.tandfonline.com/10.1080/00396265.2016.1263179</a>
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