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JLGBMLoc—A Novel High-Precision Indoor Localization Method Based on LightGBM

School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
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Author to whom correspondence should be addressed.
Academic Editor: Jesús Ureña
Sensors 2021, 21(8), 2722; https://doi.org/10.3390/s21082722
Received: 3 March 2021 / Revised: 30 March 2021 / Accepted: 8 April 2021 / Published: 13 April 2021
(This article belongs to the Section Sensor Networks)
Wi-Fi based localization has become one of the most practical methods for mobile users in location-based services. However, due to the interference of multipath and high-dimensional sparseness of fingerprint data, with the localization system based on received signal strength (RSS), is hard to obtain high accuracy. In this paper, we propose a novel indoor positioning method, named JLGBMLoc (Joint denoising auto-encoder with LightGBM Localization). Firstly, because the noise and outliers may influence the dimensionality reduction on high-dimensional sparseness fingerprint data, we propose a novel feature extraction algorithm—named joint denoising auto-encoder (JDAE)—which reconstructs the sparseness fingerprint data for a better feature representation and restores the fingerprint data. Then, the LightGBM is introduced to the Wi-Fi localization by scattering the processed fingerprint data to histogram, and dividing the decision tree under leaf-wise algorithm with depth limitation. At last, we evaluated the proposed JLGBMLoc on the UJIIndoorLoc dataset and the Tampere dataset, the experimental results show that the proposed model increases the positioning accuracy dramatically compared with other existing methods. View Full-Text
Keywords: indoor localization; Wi-Fi fingerprint; denoising auto-encoder; JLGBMLoc indoor localization; Wi-Fi fingerprint; denoising auto-encoder; JLGBMLoc
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MDPI and ACS Style

Yin, L.; Ma, P.; Deng, Z. JLGBMLoc—A Novel High-Precision Indoor Localization Method Based on LightGBM. Sensors 2021, 21, 2722. https://doi.org/10.3390/s21082722

AMA Style

Yin L, Ma P, Deng Z. JLGBMLoc—A Novel High-Precision Indoor Localization Method Based on LightGBM. Sensors. 2021; 21(8):2722. https://doi.org/10.3390/s21082722

Chicago/Turabian Style

Yin, Lu, Pengcheng Ma, and Zhongliang Deng. 2021. "JLGBMLoc—A Novel High-Precision Indoor Localization Method Based on LightGBM" Sensors 21, no. 8: 2722. https://doi.org/10.3390/s21082722

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