Impact of robot antenna calibration on dual-frequency smartphone-based high-accuracy positioning: a case study using the Huawei Mate20X
| Autor: | Darugna, Francesco, Wübbena, Jannes B., Wübbena, Gerhard, Schmitz, Martin, Schön, Steffen, Warneke, André, Institut für Erdmessung, Hannover, Germany, Geo++ GmbH, Garbsen, Germany |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften
Offset (computer science) Ambiguity resolution 010504 meteorology & atmospheric sciences Mean squared error GNSS Computer science 010401 analytical chemistry Real-time computing Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau Smartphone-based high-accuracy positioning 01 natural sciences ddc:526 0104 chemical sciences Radiation pattern GNSS applications ddc:550 General Earth and Planetary Sciences Phase center ddc:620 Android (operating system) Absolute robot antenna calibration Multipath propagation 0105 earth and related environmental sciences |
| Zdroj: | GPS Solutions GPS Solutions 25 (2021) |
| Popis: | The access to Android-based Global Navigation Satellite Systems (GNSS) raw measurements has become a strong motivation to investigate the feasibility of smartphone-based positioning. Since the beginning of this research, the smartphone GNSS antenna has been recognized as one of the main limitations. Besides multipath (MP), the radiation pattern of the antenna is the main site-dependent error source of GNSS observations. An absolute antenna calibration has been performed for the dual-frequency Huawei Mate20X. Antenna phase center offset (PCO) and variations (PCV) have been estimated to correct for antenna impact on the L1 and L5 phase observations. Accordingly, we show the relevance of considering the individual PCO and PCV for the two frequencies. The PCV patterns indicate absolute values up to 2 cm and 4 cm for L1 and L5, respectively. The impact of antenna corrections has been assessed in different multipath environments using a high-accuracy positioning algorithm employing an undifferenced observation model and applying ambiguity resolution. Successful ambiguity resolution is shown for a smartphone placed in a low multipath environment on the ground of a soccer field. For a rooftop open-sky test case with large multipath, ambiguity resolution was successful in 19 out of 35 data sets. Overall, the antenna calibration is demonstrated being an asset for smartphone-based positioning with ambiguity resolution, showing cm-level 2D root mean square error (RMSE). Gottfried Wilhelm Leibniz Universität Hannover (1038) |
| Databáze: | OpenAIRE |
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