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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Bibliografische Detailangaben

Hauptverfasser:	He-Sheng Wang, Dah-Jing Jwo, Zhi-Hang Gao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-02-01
Schriftenreihe:	Sensors
Schlagworte:	GNSS multipath explainability layer-wise relevance propagation long short-term memory
Online-Zugang:	https://www.mdpi.com/1424-8220/25/3/978
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