Deep Learning of GNSS Acquisition

Deep Learning of GNSS Acquisition

Signal acquisition is a crucial step in Global Navigation Satellite System (GNSS) receivers, which is typically solved by maximizing the so-called Cross-Ambiguity Function (CAF) as a hypothesis testing problem. This article proposes to use deep learning models to perform such acquisition, whereby th...

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Bibliographic Details
Main Authors: Parisa Borhani-Darian, Haoqing Li, Peng Wu, Pau Closas
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
GNSS acquisition
machine learning
deep learning
data fusion
Online Access:https://www.mdpi.com/1424-8220/23/3/1566

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