ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS …...BESPOKE GNSS POSITION ESTIMATION METHODS BASED ON RAW PSEUDORANGES •Conclusion •Access to raw GNSS pseudoranges opens room for: –utilisation

ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS POSITION ESTIMATION METHODS IN

NAVIGATION DOMAIN BASED ON RAW GNSS PSEUDORANGES

Prepared by

Renato Filjar1

1Faculty of Engineering, University of Rijeka, Croatia

BESPOKE GNSS POSITION ESTIMATION METHODS BASED ON RAW PSEUDORANGES


• Introduction and motivation

• Rising needs for transparent and flexible GNSS-based position estimation process that suits requirements for different classes of GNSS applications

• Advancements in mathematical methods, and computing algorithms, performance, and architectures

• Software-Defined Radio (SDR)

• Google LLC opens access to raw GNSS pseudoranges through Location API as a framework for third-party utilisation


• GNSS positioning (position estimation) process


• What does affect the GNSS positioning accuracy?


• Advanced GNSS SDR architectures


• Google Location API

POSITION ESTIMATION

PROCESS


• Proposed generalised utilisation of Google Location API on Android devices

Tailored by trusted parties for targeted applications in GNSS SDR receiver (within

a smartphone)


• Proposed generalised utilisation of Google Location API on Android devices – case of tackling effects of positioning environment


• Proposed generalised utilisation of Google Location API on Android devices – case of ionospheric delay correction


• Proposed generalised utilisation of Google Location API on Android devices – case of improved position estimation methodology


• Proposed generalised utilisation of Google Location API on Android devices – case of Positioning-as-a-Service


• Conclusion

• Access to raw GNSS pseudoranges opens room for:

– utilisation of improved and advanced position estimation methods in GNSS SDR receivers in Android-based devices (affects IoT, ITS, ADS-B, AIS, eCall and many other services and systems)

– technology and business developments

• Trust in provided raw GNSS pseudorange data – for future assessment

• We continue our research segments of GNSS position estimation methods and techniques, bespoke GNSS error correction models , and Positioning-as-a-Service concept


• Selected references

• Filić, M, and Filjar, R. (2018). Modeling the Relation between GNSS Positioning Performance Degradation, and Space Weather and Ionospheric Conditions using RReliefF Features Selection. Accepted for presentation at 31st International Technical Meeting ION GNSS+ 2018. Miami, FL.

• Filić, M. (2018). On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions. Proc 2nd URSI Atlantic Radio Science Conference. Gran Canaria, Canary Islands, Spain.

• Filić, M, Filjar, R. (2018). Smartphone GNSS positioning performance improvements through utilisation of Google Location API. Proc of 41st International Convention MIPRO/CTI, 507-510. Opatija, Croatia. Available at: http://mipro-proceedings.com/hr/cti

• Filić, M, Filjar, R, Weng J. (2018). An IGS-based simulator of ionospheric conditions for GNSS positioning quality assessment. Coordinates, 14(1), 31-34. Available at: https://bit.ly/2BHu22j

• Filić, M. (2017). Analysis of the position estimation procedure based on given GNSS pseudoranges in a GNSS SDR receiver (MSc thesis, in Croatian). Faculty of Science, University of Zagreb. Available at: https://zir.nsk.hr/islandora/object/pmf%3A3230

• Filić, M. (2017). A comparative study of forecasting methods for space weather-caused GNSS positioning performance degradation. Invited poster presentation at UN/USA Workshop on the International Space Weather Initiative. Boston College. Chestnut Hill, MA.

• Filić, M, Grubišić, L, and Filjar, R. (2017). Improvement of standard GPS position estimation algorithm through utilization of Weighted-Least-Square Approach. Proc of 11th Annual Baška GNSS Conference, 7-18. Baška, Krk Island, Croatia.



• Filic, M, Filjar, R, Ruotsalainen, L. (2016). An SDR-Based Study of Multi-GNSS Positioning Performance During Fast-Developing Space Weather Storm. TRANSNAV, 10(3), 395-400. doi: 10.12716/1001.10.03.03. Available at: https://bit.ly/2fxAvph

• Filjar, R., S. Kos, S. Krajnovic. (2013). Dst index as a potential indicator of approaching GNSS performance deterioration. J of Navigation, 66(1), 149-160. Cambridge University Press. doi:10.1017/S037346331200029X

• Filjar, R., Brčić, D., Kos, S. Single-frequency Horizontal GPS positioning Error Response to a Moderate Ionospheric Storm over Northern Adriatic. Chapter in: Weintrit, A. (editor) (2013). Advances in Marine Navigation. Taylor & Francis Group. London, UK.

• Filjar, R. (2008). A Study of Direct Severe Space Weather Effects on GPS Ionospheric Delay. J of Navigation, 61, 115-128. doi:10.1017/S0373463307004420

• Filjar, R, Huljenić, D, and Dešić, S. (2002). Distributed Positioning: A Network-Supported Method for Satellite Positioning Performance. Journal of Navigation, 55, 477-484. doi: 10.1017/S0373463302001996

• Rumora, I, Jukić, O, Filić, M, and Filjar, R. (2018). A study of GPS positioning error associated with tropospheric delay during Numa Mediterranean cyclone. Int J for Traffic and Transport Engineering. Belgrade, Serbia.

• Rumora, I, Sikirica, N, and Filjar, R. (2018). An Experimental Identification of Multipath Effect in GPS Positioning Error. TRANSNAV, 12(1), 29-32. doi: 10.12716/1001.12.01.02. Available at: https://bit.ly/2Lw0o6c



• Cannon, P et al. (2013). Extreme space weather: impacts on engineered systems and infrastructure. Royal Academy of Engineering. London, UK. Available at: http://bit.ly/11OdBNN

• GSA GNSS Raw Measurements Task Force. (2017). Using GNSS raw measurements on Android devices (white paper). European GNSS Agency. Prague, Czechia. Available at: http://bit.ly/2BiQ4s2

• Gustafsson, F. (2010). Statistical Sensor Fusion (2nd ed). Studentlitteratur AB. Linkoepping, Sweden.

• Oxley, A. (2017). Uncertainties in GPS positioning: a mathematical discourse. Academic Press/Elsevier. London, UK.

• Sanz Subirana, J, Juan Zornoza, J M, and Hernandez-Pajares, M. (2013). GNSS Data Processing – Vol. I: Fundamentals and Algorithms. European Space Agency (ESA). Nordwijk, The Netherlands.

• UK Government Office for Science. (2018). Satellite-Derived Time and Position: A Study of Critical Depndecies. HM Government of the UK and NI. Available at: https://bit.ly/2E2STnd, accessed on 24 March, 2018.

• Zogg, J-M. (2010). GPS: Essentials of satellite navigation (Compendium). Available at: http://bit.ly/fhT71T

Contact: Prof Renato Filjar, PhD FRIN E-mail: [email protected]

THANK YOU FOR YOUR ATTENTION!

13th Annual Baška GNSS Conference, Baška,Krk Island, Croatia,

5 – 8 May, 2019

Documents

ADVANTAGES OF DEPLOYMENT OF BESPOKE GNSS …...BESPOKE GNSS POSITION ESTIMATION METHODS BASED ON RAW PSEUDORANGES •Conclusion •Access to raw GNSS pseudoranges opens room for: –utilisation