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Pregled bibliografske jedinice broj: 946403

Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach

Filić, Mia; Grubišić, Luka; Filjar, Renato
Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach // Proc of 11th Annual Baška GNSS Conference / Filić, Mia ; Brčić, David ; Jugović, Alen ; Kos, Serdjo (ur.).
Rijeka: Sveučilište u Rijeci Pomorski fakultet ; The Royal Institute of Navigation, London, UK, 2018. str. 7-19 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 946403 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach

Autori
Filić, Mia ; Grubišić, Luka ; Filjar, Renato

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc of 11th Annual Baška GNSS Conference / Filić, Mia ; Brčić, David ; Jugović, Alen ; Kos, Serdjo - Rijeka : Sveučilište u Rijeci Pomorski fakultet ; The Royal Institute of Navigation, London, UK, 2018, 7-19

Skup
11th Annual Baška GNSS Conference

Mjesto i datum
Baška, Hrvatska, 07.05.2017. - 09.05.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
GNSS position estimation algorithm, weighted least-square method, GPS ionospheric error

Sažetak
This paper covers the analysis of (reference) position estimation procedures in the navigation application domain, discovering of potential weaknesses and suggesting the improvement. The algorithm analysis involves practical performance and rating of the algorithm performance quality using measured pseudorange. For the empirical comparison, we used GPS receiver’s observations collected from IGS reference station located in Padua, Italy. We present a quantitative performance comparison of the modified and the standard algorithm, based on simulations conducted in R environment for statistical computing.

Izvorni jezik
Engleski

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



POVEZANOST RADA

Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Tehnički fakultet, Rijeka,
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Luka Grubišić (autor)

Avatar Url Renato Filjar (autor)

Poveznice na cjeloviti tekst rada:

www.pfri.uniri.hr

Citiraj ovu publikaciju:

Filić, Mia; Grubišić, Luka; Filjar, Renato
Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach // Proc of 11th Annual Baška GNSS Conference / Filić, Mia ; Brčić, David ; Jugović, Alen ; Kos, Serdjo (ur.).
Rijeka: Sveučilište u Rijeci Pomorski fakultet ; The Royal Institute of Navigation, London, UK, 2018. str. 7-19 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Filić, M., Grubišić, L. & Filjar, R. (2018) Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach. U: Filić, M., Brčić, D., Jugović, A. & Kos, S. (ur.)Proc of 11th Annual Baška GNSS Conference.
@article{article, author = {Fili\'{c}, Mia and Grubi\v{s}i\'{c}, Luka and Filjar, Renato}, year = {2018}, pages = {7-19}, keywords = {GNSS position estimation algorithm, weighted least-square method, GPS ionospheric error}, title = {Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach}, keyword = {GNSS position estimation algorithm, weighted least-square method, GPS ionospheric error}, publisher = {Sveu\v{c}ili\v{s}te u Rijeci Pomorski fakultet ; The Royal Institute of Navigation, London, UK}, publisherplace = {Ba\v{s}ka, Hrvatska} }
@article{article, author = {Fili\'{c}, Mia and Grubi\v{s}i\'{c}, Luka and Filjar, Renato}, year = {2018}, pages = {7-19}, keywords = {GNSS position estimation algorithm, weighted least-square method, GPS ionospheric error}, title = {Improvement of standard GPS position estimation algorithm through utilization of Weighted Least-Square approach}, keyword = {GNSS position estimation algorithm, weighted least-square method, GPS ionospheric error}, publisher = {Sveu\v{c}ili\v{s}te u Rijeci Pomorski fakultet ; The Royal Institute of Navigation, London, UK}, publisherplace = {Ba\v{s}ka, Hrvatska} }

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