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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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 15354 - 26
Hlavní autori:	R, Deebalakshmi, Markkandan, S, Arjunan, Vinodh Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 02.05.2025 Nature Portfolio
Predmet:	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
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