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Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam

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Published in:Artificial Satellites
Format: Online Article RSS Article
Published: 2026
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container_title Artificial Satellites
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:11965
institution FRELIP
journal_source_facet Artificial Satellites
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
sub_discipline_display Aerospace & Aeronautical
sub_discipline_facet Aerospace & Aeronautical
subject_display Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
subject_facet Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
title Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_auth Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_full Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_fullStr Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_full_unstemmed Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_short Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam
title_sort performance evaluation of a deep learning-enhanced software-defined receiver for irnss sps signals in vietnam
topic Aeronautics and space flight
Aerospace & Aeronautical
Engineering & Technology
url https://sciendo.com/article/10.2478/arsa-2025-0008