Log in to save to my catalogue

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver appli...

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver appli...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baf00827405b4ae7bdeb1dbfabf77448

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

About this item

Full title

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-03, Vol.15 (1), p.8711-17, Article 8711

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The increasing reliance on global navigation satellite systems for diverse applications necessitates the development of efficient satellite selection methods to optimize positioning accuracy and system performance. In particular, low-cost global navigation satellite systems receivers face challenges in managing data from multiple visible satellites...

Alternative Titles

Full title

Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_baf00827405b4ae7bdeb1dbfabf77448

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baf00827405b4ae7bdeb1dbfabf77448

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-91959-0

How to access this item