Cited By
View all- Cui LYang YWang QXu FGuo Q(2021)Fingerprint building and positioning based on wireless sensor networks for undergroundReview of Scientific Instruments10.1063/5.005624992:9(095004)Online publication date: 1-Sep-2021
Location-based Fingerprint Downhole Mobile Node Localization Algorithm
Abstract
Aiming at the problem that the wireless signal in coal mine is vulnerable to interference and the positioning accuracy of the node is low when moving, a positioning algorithm based on location fingerprint downhole mobile node is proposed. Firstly, based on the location fingerprint algorithm, the reference points with higher similarity are grouped, and KNN localization is performed respectively, and the position with large error is eliminated by the Grubbs criterion. Secondly, by generating a reasonable particle distribution and setting the particle collection method, the unscented particle filtering algorithm is improved, and the estimated position and state estimation are merged. The experimental results show that the algorithm of grouping KNN screening and improved unscented particle filtering algorithm improves the stability of the system and the positioning accuracy of the mobile node, and reduces the computational complexity of the algorithm.
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Index Terms
- Location-based Fingerprint Downhole Mobile Node Localization Algorithm
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Published In
November 2018
177 pages
ISBN:9781450366052
DOI:10.1145/3297067
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Published: 28 November 2018
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SPML '18
SPML '18: 2018 International Conference on Signal Processing and Machine Learning
November 28 - 30, 2018
Shanghai, China
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View all- Cui LYang YWang QXu FGuo Q(2021)Fingerprint building and positioning based on wireless sensor networks for undergroundReview of Scientific Instruments10.1063/5.005624992:9(095004)Online publication date: 1-Sep-2021
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