caa a22 4500 606162259 CHVBK 20210128100638.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s10291-014-0401-9 doi (NATIONALLICENCE)springer-10.1007/s10291-014-0401-9 Brack Andreas Institute for Communications and Navigation, Technische Universität München (TUM), Arcisstr. 21, 80333, Munich, Germany aut On reliable data-driven partial GNSS ambiguity resolution [Elektronische Daten] [Andreas Brack] In high-precision global navigation satellite system applications, it is often not possible to simultaneously meet the requirements for fast and reliable integer ambiguity resolution. For a given reliability constraint in form of a user-defined, tolerable probability of an incorrect ambiguity estimate, resolving a subset of ambiguities instead of the full set can be beneficial. We discuss a fixed failure rate implementation of a data-driven, likelihood-ratio-based partial ambiguity resolution technique. A key problem in this context is the efficient determination of a scalar that is a model-dependent threshold value. This problem is approached via a conservative functional approximation of the threshold value. The only input parameter of the function is the integer least-squares failure rate of the system model under consideration. Numerically simulated single and combined system GPS/Galileo single baseline cases with single- and dual-frequency measurements are used to analyze the impact of the approximation. The results indicate that the conservative description hardly affects the performance of the algorithm, while the predefined failure rate is not exceeded. Moreover, it is shown that the presented data-driven partial ambiguity resolution approach clearly outperforms a purely model-driven scheme based on the bootstrapping failure rate. Springer-Verlag Berlin Heidelberg, 2014 Integer ambiguity resolution nationallicence Partial fixing nationallicence Fixed failure rate nationallicence Generalized integer aperture estimation nationallicence GNSS nationallicence GPS Solutions Springer Berlin Heidelberg 19/3(2015-07-01), 411-422 1080-5370 19:3<411 2015 19 10291 https://doi.org/10.1007/s10291-014-0401-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10291-014-0401-9 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Brack Andreas Institute for Communications and Navigation, Technische Universität München (TUM), Arcisstr. 21, 80333, Munich, Germany aut NATIONALLICENCE 773 0- GPS Solutions Springer Berlin Heidelberg 19/3(2015-07-01), 411-422 1080-5370 19:3<411 2015 19 10291