Abstract
This study presents an Android-based cooperative positioning (CP) architecture to improve the GNSS positioning performance on mobile devices. SBAS (Satellite Based Augmentation System) augmentation increases positioning accuracies significantly by sharing corrections between SBAS-enabled and non-capable devices via wireless connection or using a central server. The Indian GAGAN (GPS Aided GEO Augmented Navigation) is employed and assessed in the experiments. If GAGAN corrections are applied, all three chosen mobile devices showed a positioning accuracy improvement of around 95 %. The average 2D RSME was reduced from 75.23 to 1.35 m for the single-frequency GNSS smartphone Xiaomi Redmi Note 8 and from 33.25 to 1.62 m for the dual-frequency Google Pixel 4. As expected, the third GIS mapping device, Stonex S70 tablet, showed the highest performance, achieving sub-meter positioning accuracies. Thus, the experiment has proven the suitability of GAGAN augmentation for mobile devices, providing positive insight for further development of the CP architecture.
Funding source: Education, Audiovisual and Culture Executive Agency
Award Identifier / Grant number: 618657-EPP-1-2020-1-AT-EPPKA2-CBHE-JP
Acknowledgments
This project has been funded with support from the European Commission. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no competing interests.
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Research funding: The authors acknowledge the funding for the Stonex GNSS equipment (S70 mobile tablet and S900A geodetic receiver) from the LBS2ITS (Curricula Enrichment for Sri Lankan Universities Delivered Through the Application of Location-based Services to Intelligent Transport Systems) project 618657-EPP-1-2020-1-AT-EPPKA2-CBHE-JP from the Erasmus+ Capacity Building in Higher Education programme. This project has been funded with support from the European Commission. This publication reflects the views of only the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
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Data availability: The raw data can be obtained on request from the corresponding author.
References
1. Garello, R, Lo Presti, L, Corazza, GE, Samson, J, Hein, GW. Peer-to-Peer cooperative positioning: part I: GNSS aided acquisition. In: Inside GNSS. New Jersey, USA: Autonomous Media; 2012, March/April:55–63 pp. https://www.insidegnss.com/auto/marapr12-WP.pdf.Search in Google Scholar
2. Huang, P, Pi, Y, Progri, I. GPS signal detection under multiplicative and additive noise. J Navig 2013;66:479–500. https://doi.org/10.1017/S0373463312000550.Search in Google Scholar
3. Paziewski, J, Fortunato, A, Odolinski, R. An analysis of multi-GNSS observations tracked by recent android smartphones and smartphone-only relative positioning results. Measurement 2021;175:109162. https://doi.org/10.1016/j.measurement.2021.109162.Search in Google Scholar
4. Retscher, G, Gikas, V, Gerike, R. Curricula enrichment for Sri Lankan universities delivered through the application of location-based services to intelligent transport systems. In: FIG e-Working Week 2021, June 20-24, 2021. The Netherlands: Federation of Surveyors; 2021:1–16 pp. https://www.fig.net/resources/proceedings/fig_proceedings/fig2021/papers/ts02.5/TS02.5_retscher_gikas_et_al_10865.pdf.Search in Google Scholar
5. EUSPA. EUSPA EO and GNSS Market Report. Luxembourg: European Union; 2022:1–216 pp. https://www.euspa.europa.eu/sites/default/files/uploads/euspa_market_report_2022.pdf [Accessed 30 June 2023].Search in Google Scholar
6. Kubo, N, Kobayashi, K, Furukawa, R. GNSS multipath detection using continuous time-series C/N0. Sensors 2020;20:4059. https://doi.org/10.3390/s20144059.Search in Google Scholar PubMed PubMed Central
7. Robustelli, U, Baiocchi, V, Pugliano, G. Assessment of dual frequency GNSS observations from a Xiaomi Mi 8 android smartphone and positioning performance analysis. Electronics 2019;8:91. https://doi.org/10.3390/electronics8010091.Search in Google Scholar
8. Chen, B, Gao, C, Liu, Y, Sun, P. Real-time precise point positioning with a Xiaomi MI 8 android smartphone. Sensors 2019;19:2835. https://doi.org/10.3390/s19122835.Search in Google Scholar PubMed PubMed Central
9. Robustelli, U, Paziewski, J, Pugliano, G. Observation quality assessment and performance of GNSS standalone positioning with code pseudoranges of dual-frequency android smartphones. Sensors 2021;21:2125. https://doi.org/10.3390/s21062125.Search in Google Scholar PubMed PubMed Central
10. Wanninger, L, Hesselbarth, A. GNSS code and carrier phase observations of a Huawei P30 smartphone: quality assessment and centimeter – accurate positioning. GPS Solut 2020;24:64. https://doi.org/10.1007/s10291-020-00978-z.Search in Google Scholar
11. Wu, Q, Sun, M, Zhou, C, Zhang, P. Precise point positioning using dual-frequency GNSS observations on smartphone. Sensors 2019;19:2189. https://doi.org/10.3390/s19092189.Search in Google Scholar PubMed PubMed Central
12. Pepe, M, Costantino, D, Vozza, G, Alfio, VS. Comparison of two approaches to GNSS positioning using code pseudoranges generated by smartphone device. Appl Sci 2021;11:4787. https://doi.org/10.3390/app11114787.Search in Google Scholar
13. Lin, S-K. GPS/GNSS antennas. By B. Rama Rao, W. Kunysz, R. Fante and K. McDonald, artech house, 2012; 420 pages. Price £109.00, ISBN 978-1-59693-150-3. Remote Sens 2013;5:808–9. https://doi.org/10.3390/rs5020808.Search in Google Scholar
14. Banville, S, Diggelen, F. Precise GNSS for everyone: precise positioning using raw GPS measurements from android smartphones. GPS World 2016;27:43–8. https://www.gpsworld.com/innovation-precise-positioning-using-raw-gps-measurements-from-android-smartphones/.Search in Google Scholar
15. Siddakatte, R, Broumandan, A, Lachapelle, G. Performance evaluation of smartphone GNSS measurements with different antenna configurations. In: Royal institute of navigation international conference. Brighton; 2017.Search in Google Scholar
16. Gogoi, N, Minto, A, Linty, N, Dovis, F. A controlled-environment quality assessment of android GNSS raw measurements. Electronics 2019;8. https://doi.org/10.3390/electronics8010005.Search in Google Scholar
17. Zhang, X, Tao, X, Zhu, F, Shi, X, Wang, F. Quality assessment of GNSS observations from an android N smartphone and positioning performance analysis using time-differenced filtering approach. GPS Solut 2018;22:1–11. https://doi.org/10.1007/s10291-018-0736-8.Search in Google Scholar
18. Wang, B, Liu, X, Yu, B, Jia, R, Gan, X. Pedestrian dead reckoning based on motion mode recognition using a smartphone. Sensors 2018;18:1811. https://doi.org/10.3390/s18061811.Search in Google Scholar PubMed PubMed Central
19. Park, KW, Park, J-I, Park, C. Efficient methods of utilizing multi-SBAS corrections in multi-GNSS positioning. Sensors 2020;20:256. https://doi.org/10.3390/s20010256.Search in Google Scholar PubMed PubMed Central
20. Soma, P, Suryanarayana, RK, Kibe, SV, Sampad, KK, Elango, K. GAGAN: building block by block. In: Coordinates, 4th ed. Delhi, India: Coordinates Media Pvt Ltd; 2012, VIII. https://mycoordinates.org/gagan-building-block-by-block/.Search in Google Scholar
21. Sahana, C, Devi, N, Kumar, J. Hexagonal-triangular combinatorial structure based dual-band circularly polarized patch antenna for GAGAN receivers. IEEE Access 2023;11:1. https://doi.org/10.1109/ACCESS.2023.3252913.Search in Google Scholar
22. Sridhar, K, Miriyala, S, Raghunath, S, Ratnam, V. Ionospheric anomaly detection and Indian ionospheric climatology from GAGAN receivers. Acta Geod Geophys 2020;55:223–35. https://doi.org/10.1007/s40328-020-00290-9.Search in Google Scholar
23. Dammalage, T, Silva, DN, Satirapod, C. Performance analysis of GPS aided GEO augmented navigation (GAGAN) over Sri Lanka. Eng J 2017;21:305–14. https://doi.org/10.4186/ej.2017.21.5.305.Search in Google Scholar
24. Ganeshan, A, Ramesh, G, Satish, S. GAGAN message service – games – A new approach. Coordinates 2016;XII(12 Delhi, India, Coordinates Media Pvt Ltd):8–11. https://mycoordinates.org/gagan-message-service-games-a-new-approach/#:∼:text=GAMES%20is%20a%20free%20to,time%20in%20all%20weather%20condition.Search in Google Scholar
25. Jenan, R, Dammalage, T, Retscher, G, Kealy, A. Performance analysis of GAGAN and trimble RTX based satellite based augmentation services in respective to equatorial ionospheric conditions. In: Papers presented at the International Global Navigation Satellite Systems (IGNSS) 2020 Conference, February 5-7, 2020, Sydney, Australia. Australia: University of New South Wales; 2020.Search in Google Scholar
26. Dammalage, TL. Application of Indian space-based augmentation service on geospatial data collections in Sri Lanka. Surv Rev 2019;51:485–91. https://doi.org/10.1080/00396265.2018.1479938.Search in Google Scholar
27. Park, B, Lee, J, Kim, Y, Yun, H, Kee, C. DGPS enhancement to GPS NMEA output data: DGPS by correction projection to position-domain. J Navig 2013;66:249–64. https://doi.org/10.1017/S0373463312000471.Search in Google Scholar
28. Dabove, P, Di Pietra, V. Towards high accuracy GNSS real-time positioning with smartphones. Adv Space Res 2019;63:94–102. https://doi.org/10.1016/j.asr.2018.08.025.Search in Google Scholar
29. Dabove, P, Di Pietra, V. Single-baseline RTK positioning using dual-frequency GNSS receivers inside smartphones. Sensors 2019;19:4302. https://doi.org/10.3390/s19194302.Search in Google Scholar PubMed PubMed Central
30. Rantakokko, J, Rydell, J, Strömbäck, P, Händel, P, Callmer, J, Tornqvist, D, et al.. Accurate and reliable soldier and first Responder indoor positioning: multisensor systems and cooperative localization. In: Wireless communications, 2nd ed. New York, USA: IEEE; 2011, 18:10–8 pp.10.1109/MWC.2011.5751291Search in Google Scholar
31. Gabela, J, Kealy, A, Hedley, M, Moran, B. Case study of bayesian RAIM algorithm integrated with spatial feature constraint and fault detection and exclusion algorithms for multi‐sensor positioning. Navigation 2021;68:333–51. https://doi.org/10.1002/navi.433.Search in Google Scholar
32. Masiero, A, Toth, C, Gabela, J, Retscher, G, Kealy, A, Perakis, H, et al.. Experimental assessment of UWB and vision-based car cooperative positioning system. Remote Sens 2021;13:4858. https://doi.org/10.3390/rs13234858.Search in Google Scholar
33. Wan, J, Zhong, L, Zhang, F. Cooperative localization of multi-UAVs via dynamic nonparametric belief propagation under GPS signal loss condition. Int J Distrib Sens Netw 2014;2014:562380. https://doi.org/10.1155/2014/562380.Search in Google Scholar
34. Alam, N, Dempster, A. Cooperative positioning for vehicular networks: facts and future. Intell Transp Syst IEEE Trans 2013;14:1708–17. https://doi.org/10.1109/TITS.2013.2266339.Search in Google Scholar
35. Bargshady, N, Pahlavan, K, Alsindi, N. Bounds on performance of hybrid WiFi/UWB, cooperative localisation using particle filter. In: 2015 international conference on computing, networking and communications. Garden Grove, CA, USA: ICNC; 2015:1055–60 pp.10.1109/ICCNC.2015.7069494Search in Google Scholar
36. Wymeersch, H, Lien, J, Win, M. Cooperative localization in wireless networks. Proc IEEE 2009;97:427–50. https://doi.org/10.1109/JPROC.2008.2008853.Search in Google Scholar
37. Carrillo-Arce, LC, Nerurkar, E, Gordillo, JL, Roumeliotis, S. Decentralized multi-robot cooperative localization using covariance intersection. In: Proceedings of the … IEEE/RSJ international conference on intelligent robots and systems. Tokyo, Japan: IEEE/RSJ International Conference on Intelligent Robots and Systems; 2013:1412–7 pp.10.1109/IROS.2013.6696534Search in Google Scholar
38. Goel, S, Kealy, A, Lohani, B. Development and experimental evaluation of a low-cost cooperative UAV localization network prototype. J Sens Actuator Netw 2018;7:42. https://doi.org/10.3390/jsan7040042.Search in Google Scholar
39. Gioia, C, Borio, D. Android positioning: from stand-alone to cooperative approaches. Appl Geomat 2021;13:195–216. https://doi.org/10.1007/s12518-020-00333-4.Search in Google Scholar
40. Minetto, A, Bello, MC, Dovis, F. DGNSS cooperative positioning in mobile smart devices: a proof of concept. IEEE Trans Veh Technol 2022;71:3480–94. https://doi.org/10.1109/TVT.2022.3148538.Search in Google Scholar
41. Tomkinson, J, Kealy, A, Fuller, S, Marhshall, C, Rubinov, E. Dual frequency smartphone performance using SBAS. In: FrontierSI. Melbourne, Australia: RMIT; 2020:1–33 pp. https://frontiersi.com.au/wp-content/uploads/2020/11/RMIT_FrontierSI_Smartphone_SBAS_Combined.pdf.Search in Google Scholar
42. Yong, CZ, Odolinski, R, Zaminpardaz, S, Moore, M, Rubinov, E, Er, J, et al.. Instantaneous, dual-frequency, multi-GNSS precise RTK positioning using Google Pixel 4 and Samsung galaxy S20 smartphones for zero and short baselines. Sensors 2021;21:8318. https://doi.org/10.3390/s21248318.Search in Google Scholar PubMed PubMed Central
43. Rajavarathan, J, Dammalage, T, Kealy, A. The influences of solar activities on TEC variations of equatorial ionosphere over Sri Lanka. 2nd ed. Sozopol, Bulgaria: BBC SWS; 2019, 14:131–7 pp.Search in Google Scholar
44. Dionisio, C, Citterico, D, Pirazzi, G, De Quattro, N, Cucchi, L, Marracci, R, et al.. gLab a fully software tool to generate, process and analyze GNSS signals. In: 2010 5th ESA workshop on satellite navigation technologies and European workshop on GNSS signals and signal processing (NAVITEC). Noordwijk, Netherlands: ESA; 2010:1–7 pp.10.1109/NAVITEC.2010.5707988Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Ionospheric TEC modeling using COSMIC-2 GNSS radio occultation and artificial neural networks over Egypt
- Regional GPS orbit determination using code-based pseudorange measurement with residual correction model
- Analysis of different combinations of gravity data types in gravimetric geoid determination over Bali
- Assessment of satellite images terrestrial surface temperature and WVP using GNSS radio occultation data
- GNSS positioning accuracy performance assessments on 1st and 2nd generation SBAS signals in Thailand
- Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya
- Advanced topographic-geodetic surveys and GNSS methodologies in urban planning
- Detection of GNSS ionospheric scintillations in multiple directions over a low latitude station
- Spatiotemporal postseismic due to the 2018 Lombok earthquake based on insar revealed multi mechanisms with long duration afterslip
- Practical implications in the interpolation methods for constructing the regional mean sea surface model in the eastern Mediterranean Sea
- Validation of a tailored gravity field model for precise quasigeoid modelling over selected sites in Cameroon and South Africa
- Evaluation of ML-based classification algorithms for GNSS signals in ocean environment
- Development of a hybrid geoid model using a global gravity field model over Sri Lanka
- Implementation of GAGAN augmentation on smart mobile devices and development of a cooperative positioning architecture
- On the GPS signal multipath at ASG-EUPOS stations
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Ionospheric TEC modeling using COSMIC-2 GNSS radio occultation and artificial neural networks over Egypt
- Regional GPS orbit determination using code-based pseudorange measurement with residual correction model
- Analysis of different combinations of gravity data types in gravimetric geoid determination over Bali
- Assessment of satellite images terrestrial surface temperature and WVP using GNSS radio occultation data
- GNSS positioning accuracy performance assessments on 1st and 2nd generation SBAS signals in Thailand
- Differential synthetic aperture radar (SAR) interferometry for detection land subsidence in Derna City, Libya
- Advanced topographic-geodetic surveys and GNSS methodologies in urban planning
- Detection of GNSS ionospheric scintillations in multiple directions over a low latitude station
- Spatiotemporal postseismic due to the 2018 Lombok earthquake based on insar revealed multi mechanisms with long duration afterslip
- Practical implications in the interpolation methods for constructing the regional mean sea surface model in the eastern Mediterranean Sea
- Validation of a tailored gravity field model for precise quasigeoid modelling over selected sites in Cameroon and South Africa
- Evaluation of ML-based classification algorithms for GNSS signals in ocean environment
- Development of a hybrid geoid model using a global gravity field model over Sri Lanka
- Implementation of GAGAN augmentation on smart mobile devices and development of a cooperative positioning architecture
- On the GPS signal multipath at ASG-EUPOS stations