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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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 6; p. 1959
Main Authors:	Qin, Yahang, Li, Zhenni, Xie, Shengli, Zhao, Haoli, Wang, Qianming
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 19.03.2024 MDPI
Subjects:	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
Online Access:	Get full text
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