Improved Extreme Learning Machine Based UWB Positioning for Mobile Robots with Signal Interference

Improved Extreme Learning Machine Based UWB Positioning for Mobile Robots with Signal Interference

For the purpose of tackling ultra-wideband (UWB) indoor positioning with signal interference, a binary classifier for signal interference discrimination and positioning errors compensation model combining genetic algorithm (GA) and extreme learning machine (ELM) are put forward. Based on the distanc...

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Bibliographic Details
Main Authors: Jun Ma, Xuechao Duan, Chen Shang, Mengjiao Ma, Dan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Machines
Subjects:
ultra-wideband (UWB)
robot indoor positioning
genetic algorithm (GA)
extreme learning machine (ELM)
errors compensation
Online Access:https://www.mdpi.com/2075-1702/10/3/218

Internet

https://www.mdpi.com/2075-1702/10/3/218

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