|Table of Contents|

A Visible Light Indoor Positioning Algorithm Based on Fingerprint(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2019年01期
Page:
58-
Research Field:
信息工程
Publishing date:

Info

Title:
A Visible Light Indoor Positioning Algorithm Based on Fingerprint
Author(s):
Guo Chen1; Shao Jianhua1; Ke Wei1; 2; Zhang Chunyan1; An Shuang1
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)(2.Key Laboratory for Opto-Electronic Technology of Jiangsu Province,Nanjing Normal University,Nanjing 210023,China)
Keywords:
indoor positioning; fingerprint; KNN; Bayes
PACS:
TN929.1
DOI:
10.3969/j.issn.1672-1292.2019.01.008
Abstract:
Errors are caused by wall reflection and noise in the visible light indoor positioning system. Some indoor positioning algorithms based on fingerprint are compared through simulation. An improved indoor positioning algorithm that combines K-Nearest Neighbor and Bayesian theory algorithm is proposed. Firstly,several grid points which are close to the receiver’s position are selected by KNN algorithm,after the RSSI sampling value through Gauss filter is processed,then the posterior probability is calculated by Bayesian algorithm. The point with the largest posterior probability is the estimated position. The improved algorithm simplifies the Bayesian algorithm and improves the positioning accuracy of KNN algorithm,with an average error of 0.17 m.

References:

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Last Update: 2019-03-30