UWB Positioning Algorithm Based on Fuzzy Inference and Adaptive Anti-NLOS Kalman Filtering

UWB Positioning Algorithm Based on Fuzzy Inference and Adaptive Anti-NLOS Kalman Filtering

To reduce the influence of non-line-of-sight (NLOS) errors in the ultra-wideband (UWB) positioning process, a UWB positioning algorithm based on fuzzy inference and adaptive anti-NLOS Kalman filtering (KF) was proposed in this paper. First of all, the NLOS errors of the channel impulse response (CIR...

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Bibliographic Details
Main Authors: Junkang Wu, Zuqiong Zhang, Shenglan Zhang, Zhenwu Kuang, Lieping Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
ultra-wideband positioning
non-line-of-sight
fuzzy inference
self-adaption
Kalman filter
Online Access:https://www.mdpi.com/2076-3417/12/12/6183

Internet

https://www.mdpi.com/2076-3417/12/12/6183

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