Application of the Least Squares-Adaptive Vector Projection Iteration Algorithm to Ultra-Wideband Positioning

Ultra-Wideband (UWB) technology is widely used in indoor positioning due to its high accuracy and strong resistance to interference. However, practical UWB positioning systems still encounter challenges such as random errors and asymmetric base station topology, which significantly affect positionin...

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Vydané v:	IEEE sensors journal Ročník 24; číslo 22; s. 37275 - 37285
Hlavní autori:	Wang, Penghui, Lian, Zengzeng, Amparo Nunez-Andres, M., Calabia, Andres, Tian, Yalin, Wang, Mengqi, Yue, Zhe, Mu, Hongtao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 15.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Adaptive algorithms Algorithms Artificial neural networks Base stations Convolutional neural network (CNN) Distance measurement Heuristic algorithms Iterative algorithms least squares (LS) adjustment Least squares method Optimization Parameter identification Predictions Random errors Search algorithms Sensors sparrow search algorithm (SSA) Topology Ultra-Wideband (UWB) positioning Ultrawideband vector projection Vectors
ISSN:	1530-437X, 1558-1748
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