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Pregled bibliografske jedinice broj: 1280260

A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications


Malić, Emanuela; Sikirica, Nenad; Špoljar, Darko; Filjar, Renato
A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications // TransNav, 17 (2023), 1; 43-50 doi:10.12716/1001.17.01.03 (međunarodna recenzija, članak, znanstveni)


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Naslov
A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications

Autori
Malić, Emanuela ; Sikirica, Nenad ; Špoljar, Darko ; Filjar, Renato

Izvornik
TransNav (2083-6473) 17 (2023), 1; 43-50

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
GNSS ; GNSS Positioning Performance Degradation ; Assessment of Risk ; Ionospheric Delay ; Intelligent Maritime Traffic ; Maritime Applications ; Polar Region ; Polar Navigation ; Safe Ship's Trajectory ; Collision Avoidance ; Artificial Intelligence (AI) ; Artificial Neural Network (ANN) ; Fuzzy Logic ; Evolutionary Algorithms ; Dynamic Programming (DP)

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Elektrotehnika, Računarstvo, Tehnologija prometa i transport, Zrakoplovstvo, raketna i svemirska tehnika



POVEZANOST RADA


Ustanove:
Veleučilište Hrvatsko zagorje Krapina

Profili:

Avatar Url Renato Filjar (autor)

Avatar Url Darko Špoljar (autor)

Avatar Url Nenad Sikirica (autor)

Poveznice na cjeloviti tekst rada:

doi www.transnav.eu www.transnav.eu

Citiraj ovu publikaciju:

Malić, Emanuela; Sikirica, Nenad; Špoljar, Darko; Filjar, Renato
A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications // TransNav, 17 (2023), 1; 43-50 doi:10.12716/1001.17.01.03 (međunarodna recenzija, članak, znanstveni)
Malić, E., Sikirica, N., Špoljar, D. & Filjar, R. (2023) A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications. TransNav, 17 (1), 43-50 doi:10.12716/1001.17.01.03.
@article{article, author = {Mali\'{c}, Emanuela and Sikirica, Nenad and \v{S}poljar, Darko and Filjar, Renato}, year = {2023}, pages = {43-50}, DOI = {10.12716/1001.17.01.03}, keywords = {GNSS, GNSS Positioning Performance Degradation, Assessment of Risk, Ionospheric Delay, Intelligent Maritime Traffic, Maritime Applications, Polar Region, Polar Navigation, Safe Ship's Trajectory, Collision Avoidance, Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic, Evolutionary Algorithms, Dynamic Programming (DP)}, journal = {TransNav}, doi = {10.12716/1001.17.01.03}, volume = {17}, number = {1}, issn = {2083-6473}, title = {A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications}, keyword = {GNSS, GNSS Positioning Performance Degradation, Assessment of Risk, Ionospheric Delay, Intelligent Maritime Traffic, Maritime Applications, Polar Region, Polar Navigation, Safe Ship's Trajectory, Collision Avoidance, Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic, Evolutionary Algorithms, Dynamic Programming (DP)} }
@article{article, author = {Mali\'{c}, Emanuela and Sikirica, Nenad and \v{S}poljar, Darko and Filjar, Renato}, year = {2023}, pages = {43-50}, DOI = {10.12716/1001.17.01.03}, keywords = {GNSS, GNSS Positioning Performance Degradation, Assessment of Risk, Ionospheric Delay, Intelligent Maritime Traffic, Maritime Applications, Polar Region, Polar Navigation, Safe Ship's Trajectory, Collision Avoidance, Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic, Evolutionary Algorithms, Dynamic Programming (DP)}, journal = {TransNav}, doi = {10.12716/1001.17.01.03}, volume = {17}, number = {1}, issn = {2083-6473}, title = {A Method and a Model for Risk Assessment of GNSS Utilisation with a Proof-of-Principle Demonstration for Polar GNSS Maritime Applications}, keyword = {GNSS, GNSS Positioning Performance Degradation, Assessment of Risk, Ionospheric Delay, Intelligent Maritime Traffic, Maritime Applications, Polar Region, Polar Navigation, Safe Ship's Trajectory, Collision Avoidance, Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic, Evolutionary Algorithms, Dynamic Programming (DP)} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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