Performance evaluation on extended neural network localization algorithm on 5 g new radio technology

With the rapid growth of fifth-generation (5G) networks, there is an increasing demand for high-precision localisation, achieving which is a major challenge in real-time applications in dynamic and noisy environments. Signal noise and incomplete data, including time difference of arrival (TDoA), ang...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 15354 - 26
Hauptverfasser:	R, Deebalakshmi, Markkandan, S, Arjunan, Vinodh Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 02.05.2025 Nature Portfolio
Schlagworte:	639/166 639/766/25 Extended Kalman Filter Extreme Learning Machine HackRF Humanities and Social Sciences Localization multidisciplinary Science Science (multidisciplinary) 5G Extreme Learning Machine Localization Extended Kalman Filter HackRF
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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