Naslov
An SDR-based GNSS position estimation algorithm in navigation domain established on utilisation of self-adaptiveness to ionospheric conditions

Autori
Filjar, Renato ; Iliev, Teodor B ; Jukić, Oliver ; Heđi, Ivan

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni

Izvornik
Proc 5th GNSS Raw Measurements Task Force Meeting / Sunkevic, Martin - Prag : EU Agency for the Space Programme (EUSPA), 2022

Skup
5th GNSS Raw Measurements Task Force Meeting

Mjesto i datum
Prag, Češka Republika; online, 27.05.2022. - 28.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
GNSS, position estimation, SDR, self-adaptiveness, ionospheric corrections

Sažetak
The GNSS positioning performance relies upon accurate corrections of adverse effects on GNSS pseudorange measurements and data. Space weather, geomagnetic, and ionospheric effects have been identified the most influential sources of GNSS positioning errors. Existing ionospheric correction models are of global nature and extent, and often cannot take into account local ionospheric dynamics and conditions. Here a novel approach in GNSS position estimation in the navigation domain of a GNSS receiver is proposed, based on utilisation of the SDR concept, Android Location API for direct GNSS pseudoranges access (Filić, Filjar, 2018b), the results our team accomplished in identification of TEC conditions and dynamics properties, and statistical learning- based modelling in various scenarios of space weather conditions (Filić, 2018), (Filić, Filjar, 2018), (Filić, Filjar, 2019a), (Filjar, Weintrit, Iliev, Malčić, Jukić, Sikirica, 2020), (Sikirica, Zhen, Filjar, 2022) and others. We propose a GNSS position estimation process (Filić, Grubišić, Filjar, 2018) and algorithm (Filjar, 2022) that utilise the awareness of ionospheric conditions in the immediate vicinity of a GNSS receiver, and utilisation of self-adaptive statistical learning- based correction models in navigation domain of a GNSS receiver. Preliminary proof-of-principle research results obtained by our team show prospects for a considerable GNSS positioning accuracy improvements of up to 90% mean positioning error reduction, and up to 50% positioning error variance reduction (Filjar, 2022) when utilising the proposed GNSS position estimation algorithm self-adaptive to the immediate ionospheric corrections using statistical learning-based ionospheric delay correction models. The proposed algorithm facilitates the transparency and democratisation of the SDR-based GNSS position estimation process, and its scalability to meet the needs and requirements of GNSS application users in a wide range of disciplines (EUSPA, 2021). Reference EUSPA. (2021). User Needs and Requirements. EUSPA User Consultation Platform (UCP). Prague, Czechia. Available at: https://www.euspa.europa.eu/euspace- applications/euspace-users/user-needs-and- requirements Filić, M, Filjar, R. (2019a). GNSS positioning error change-point detection in GNSS positioning performance modelling. TransNav, 13(3), 575-579. doi: 10.12716/1001.13.03.12 Filić, M, Filjar, R. (2019b). On correlation between SID monitor and GPS-derived TEC observations during a massive ionospheric storm development. Student Paper Competition Award at URSI AP-RASC 2019 Meeting. New Delhi, India. doi: 10.23919/URSIAP- RASC.2019.8738664 Filić, M. (2018). On development of the forecasting model of GNSS positioning performance degradation due to space weather and ionospheric conditions. Proc 2nd URSI AT-RASC (4 pages, electronic format). Gran Canaria, Spain. doi: 10.23919/URSI-AT-RASC.2018.8471628 Filić, M, Filjar, R. (2018a). Modelling the Relation between GNSS Positioning Performance Degradation, and Space Weather and Ionospheric Conditions using RReliefF Features Selection. Proc of 31st International Technical Meeting ION GNSS+ 2018, 1999-2006. Miami, FL. doi: 10.33012/2018.16016 Filić, M, Filjar, R. (2018b). Smartphone GNSS positioning performance improvements through utilisation of Google Location API. Proc of 41 st International Convention MIPRO/CTI, 507-510. Opatija, Croatia. doi: 10.23919/MIPRO.2018.8400087 Filić, M, Grubišić, L, Filjar, R. (2018). Improvement of standard GPS position estimation algorithm through utilization of Weighted Least- Sqaure approach. Proc of 11th Annual Baška GNSS Conference, 7-19. Baška, Krk Island, Croatia. Available at: https://www.pfri.uniri.hr/web/hr/dokumenti/zbornic i-gnss/2018-GNSS-11.pdf Filjar, R. (2022). An application-centred resilient GNSS position estimation algorithm based on positioning environment conditions awareness. Proc ION ITM 2022, 1123 - 1136. Long Beach, CA. doi: 10.33012/2022.18247 Filjar, R, Damas, M C, Iliev, T B. (2020). Resilient Satellite Navigation Empowers Modern Science, Economy, and Society. CIEES 2020. IOP Conf. Ser: Mater Sci Eng 1032, 012001 (10 pages). Borovets, Bulgaria. doi:10.1088/1757- 899X/1032/1/012001 Filjar, R, Weintrit, A, Iliev, T, Malčić, G, Jukić, O, Sikirica, N. (2020). Predictive Model of Total Electron Content during Moderately Disturbed Geomagnetic Conditions for GNSS Positioning Performance Improvement. Proc FUSION2020, 256- 262. Sun City, South Africa. doi: 10.23919/FUSION45008.2020.9190264 Lenac, K, Filjar, R. (2021). Recurrence Plot Analysis of GPS Ionospheric Delay Time Series in Extreme Ionospheric Conditions. Computers & Geoscience, 147, No. 104613 (11 pages). doi: https://doi.org/10.1016/j.cageo.2020.104613 Mehmood M, Saleem S, Filjar R. (2022). Eyjafjallajökull Volcanic Ash 2010 Effects on GPS Positioning Performance in the Adriatic Sea Region. Atmosphere. 13(1), No. 47, 16 pages. doi: 10.3390/atmos13010047 Sikirica, N, Zhen, W, Filjar, R. (2022). Statistical properties of mid- latitude TEC time series observed during rapidly developing short- term geomagnetic storms: A contribution to GNSS- related TEC predictive model development. Accepted for presentation at 3rd URSI AT-AP-RASC. Gran Canaria, Spain. Špoljar, D, Jukić, O, Sikirica, N, Lenac, K, Filjar, R. (2021). Modelling GPS Positioning Performance in Northwest Passage during Extreme Space Weather Conditions. TransNav, 15(1), 165- 169. doi:10.12716/1001.15.01.16

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Elektrotehnika, Računarstvo, Zrakoplovstvo, raketna i svemirska tehnika

POVEZANOST RADA