Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations
With the development of Global Navigation Satellite System (GNSS) and the opening of Application Programming Interface (API) of Android terminals, the positioning research of Android terminals has attracted the attention of GNSS community. In this paper, three static experiments were conducted to an...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/20/5917 |
| _version_ | 1797550441417932800 |
|---|---|
| author | Guangxing Wang Yadong Bo Qiang Yu Min Li Zhihao Yin Yu Chen |
| author_facet | Guangxing Wang Yadong Bo Qiang Yu Min Li Zhihao Yin Yu Chen |
| author_sort | Guangxing Wang |
| collection | DOAJ |
| description | With the development of Global Navigation Satellite System (GNSS) and the opening of Application Programming Interface (API) of Android terminals, the positioning research of Android terminals has attracted the attention of GNSS community. In this paper, three static experiments were conducted to analyze the raw GNSS observations quality and positioning performances of the smartphones. For the two experimental smartphones, the numbers of visible satellites with dual-frequency signals are unstable and not enough for dual-frequency Precise Point Positioning (PPP) processing all through the day. Therefore, the ionosphere-constrained single-frequency PPP model was employed to improve the positioning with the smartphones, and its performance was evaluated and compared with those of the Single Point Positioning (SPP) and the traditional PPP models. The results show that horizontal positioning accuracies of the smartphones with the improved PPP model are better than 1 m, while those with the SPP and the traditional PPP models are about 2 m. |
| first_indexed | 2024-03-10T15:29:20Z |
| format | Article |
| id | doaj.art-304f3d3d487547a0adc646dd76822c97 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:29:20Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-304f3d3d487547a0adc646dd76822c972023-11-20T17:46:50ZengMDPI AGSensors1424-82202020-10-012020591710.3390/s20205917Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS ObservationsGuangxing Wang0Yadong Bo1Qiang Yu2Min Li3Zhihao Yin4Yu Chen5School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaGNSS Research Center, Wuhan University, Wuhan 430079, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, ChinaWith the development of Global Navigation Satellite System (GNSS) and the opening of Application Programming Interface (API) of Android terminals, the positioning research of Android terminals has attracted the attention of GNSS community. In this paper, three static experiments were conducted to analyze the raw GNSS observations quality and positioning performances of the smartphones. For the two experimental smartphones, the numbers of visible satellites with dual-frequency signals are unstable and not enough for dual-frequency Precise Point Positioning (PPP) processing all through the day. Therefore, the ionosphere-constrained single-frequency PPP model was employed to improve the positioning with the smartphones, and its performance was evaluated and compared with those of the Single Point Positioning (SPP) and the traditional PPP models. The results show that horizontal positioning accuracies of the smartphones with the improved PPP model are better than 1 m, while those with the SPP and the traditional PPP models are about 2 m.https://www.mdpi.com/1424-8220/20/20/5917Android smartphonesGNSS raw observationPrecise Point Positioning (PPP)multipathBDS |
| spellingShingle | Guangxing Wang Yadong Bo Qiang Yu Min Li Zhihao Yin Yu Chen Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations Sensors Android smartphones GNSS raw observation Precise Point Positioning (PPP) multipath BDS |
| title | Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations |
| title_full | Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations |
| title_fullStr | Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations |
| title_full_unstemmed | Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations |
| title_short | Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations |
| title_sort | ionosphere constrained single frequency ppp with an android smartphone and assessment of gnss observations |
| topic | Android smartphones GNSS raw observation Precise Point Positioning (PPP) multipath BDS |
| url | https://www.mdpi.com/1424-8220/20/20/5917 |
| work_keys_str_mv | AT guangxingwang ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations AT yadongbo ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations AT qiangyu ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations AT minli ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations AT zhihaoyin ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations AT yuchen ionosphereconstrainedsinglefrequencypppwithanandroidsmartphoneandassessmentofgnssobservations |