Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning

Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning

Abstract Ultra-wideband technology has good anti-interference capabilities and development prospects in indoor positioning. Since ultra-wideband will be affected by random errors in indoor positioning, to exploit the advantages of the Kalman filter (KF) and the long short-term memory (LSTM) network,...

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Bibliographic Details
Main Authors: Yalin Tian, Zengzeng Lian, Penghui Wang, Mengqi Wang, Zhe Yue, Huabin Chai
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52464-y

Internet

https://doi.org/10.1038/s41598-024-52464-y

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