A method and a model for risk assessment of GNSS utilisation with a proof-of-principle demonstration for polar GNSS maritime applications

• Autorzy: Malić E. , Sikirica N. , Špoljar D. , Filjar R.

Identyfikatory

DOI

10.12716/1001.17.01.03

• Języki publikacji: EN

Abstrakty

EN

The GNSS positioning performance is commonly defined and described in terms unspecified to particular GNSS-based application. The approach causes difficulties to GNSS application developers, operators, and users, rendering the impact assessment of GNSS performance on the GNSS application Quality of Service (QoS) particularly difficult. Here the Probability of Occurrence (PoO) Model is introduced, which allows for a risk assessment of the probability for the GNSS positioning accuracy failure to meet the requirements of the particular GNSS-based application. The proposed PoO Model development procedure requires a large set of position estimation errors observations, which shall cover a range of classes of positioning environment (space weather, troposphere, multi-path etc.) disturbances affecting GNSS positioning accuracy. As result, the PoO Model becomes a tool that returns the probability of failure in meeting the positioning accuracy requirements of the GNSS applications considered, thus providing the input for a GNSS deployment risk assessment. The proposed PoO Model and its development procedure are demonstrated in the case of polar region positioning environment, with raw GNSS pseudorange observations taken at the International GNSS Service (IGS) Network reference station Iqualuit, Canada are used for the PoO Model development. The PoO Model proof-of-principle is then used to estimate the probability of the unmet required positioning accuracy for a number of polar maritime navigation applications. Manuscript concludes with a discussion of the PoO Model benefits and shortcomings, a summary of contribution, and intentions for the future research.

Słowa kluczowe

EN

GNSS; GNSS Positioning Performance Degradation; assessment of risk; lonospheric delay; intelligent maritime traffic; maritime applications; polar region; polar navigation

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2023
• Tom: Vol. 17 No. 1
• Strony: 43--50
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Malić E.

• Split, Croatia

autor

Sikirica N.

• University of Applied Sciences „Hrvatsko Zagorje Krapina“, Krapina, Croatia

autor

Špoljar D.

• University of Rijeka, Rijeka, Croatia

autor

Filjar R.

• University of Rijeka, Rijeka, Croatia
• University of Applied Sciences „Hrvatsko Zagorje Krapina“, Krapina, Croatia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).