Towards Explainable Artificial Intelligence for GNSS Multipath LSTM Training Models

This paper addresses the critical challenge of understanding and interpreting deep learning models in Global Navigation Satellite System (GNSS) applications, specifically focusing on multipath effect detection and analysis. As GNSS systems become increasingly reliant on deep learning for signal proc...

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Hlavní autoři:	He-Sheng Wang, Dah-Jing Jwo, Zhi-Hang Gao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-02-01
Edice:	Sensors
Témata:	GNSS multipath explainability layer-wise relevance propagation long short-term memory
On-line přístup:	https://www.mdpi.com/1424-8220/25/3/978
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