An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments

The BeiDou Navigation Satellite System (BDS) provides real-time absolute location services to users around the world and plays a key role in the rapidly evolving field of autonomous driving. In complex urban environments, the positioning accuracy of BDS often suffers from large deviations due to non...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 24; číslo 6; s. 1959
Hlavní autori:	Qin, Yahang, Li, Zhenni, Xie, Shengli, Zhao, Haoli, Wang, Qianming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 19.03.2024 MDPI
Predmet:	Accuracy Algorithms Analysis Artificial intelligence Artificial satellites BDS denoising autoencoder Machine learning Methods NLOS Noise Satellites Sensors Time series time series features urban forest VOCs Volatile organic compounds China BDS denoising autoencoder time series features NLOS urban forest
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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