Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis

Aiming at the problems of the low robustness and poor reliability of a single positioning source in complex indoor environments, a multi-level fusion indoor positioning technology considering credible evaluation is proposed. A multi-dimensional electromagnetic atlas including pseudolites (PL), Wi-Fi...

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Main Authors: Lu Huang, Baoguo Yu, Shitong Du, Jun Li, Haonan Jia, Jingxue Bi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/2/353
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author Lu Huang
Baoguo Yu
Shitong Du
Jun Li
Haonan Jia
Jingxue Bi
author_facet Lu Huang
Baoguo Yu
Shitong Du
Jun Li
Haonan Jia
Jingxue Bi
author_sort Lu Huang
collection DOAJ
description Aiming at the problems of the low robustness and poor reliability of a single positioning source in complex indoor environments, a multi-level fusion indoor positioning technology considering credible evaluation is proposed. A multi-dimensional electromagnetic atlas including pseudolites (PL), Wi-Fi and a geomagnetic field is constructed, and the unsupervised learning model is used to sample in the latent space to achieve a feature-level fusion positioning. A location credibility evaluation method is designed to improve the credibility of the positioning system through a multi-dimensional data quality evaluation and heterogeneous information auxiliary constraints. Finally, a large number of experiments were carried out in the laboratory environment, and, finally, about 90% of the positioning error was better than 1 m, and the average positioning error was 0.56 m. Compared with several relatively advanced positioning methods (Inter-satellite CPDM/Epoch-CPDS/Z-KPI) at present, the average positioning accuracy is improved by about 56%, 83.5% and 82.9%, respectively, which verifies the effectiveness of the algorithm. To verify the effect of the proposed method in a practical application environment, the proposed positioning system is deployed in the 2022 Winter Olympics venues. The results show that the proposed method has a significant improvement in the positioning accuracy and continuity.
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spelling doaj.art-ed80113db39d4b27aeb28ee6aa51a2092023-12-01T00:19:23ZengMDPI AGRemote Sensing2072-42922023-01-0115235310.3390/rs15020353Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation AnalysisLu Huang0Baoguo Yu1Shitong Du2Jun Li3Haonan Jia4Jingxue Bi5State Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, ChinaState Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, ChinaState Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, ChinaState Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, ChinaState Key Laboratory of Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, ChinaSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, ChinaAiming at the problems of the low robustness and poor reliability of a single positioning source in complex indoor environments, a multi-level fusion indoor positioning technology considering credible evaluation is proposed. A multi-dimensional electromagnetic atlas including pseudolites (PL), Wi-Fi and a geomagnetic field is constructed, and the unsupervised learning model is used to sample in the latent space to achieve a feature-level fusion positioning. A location credibility evaluation method is designed to improve the credibility of the positioning system through a multi-dimensional data quality evaluation and heterogeneous information auxiliary constraints. Finally, a large number of experiments were carried out in the laboratory environment, and, finally, about 90% of the positioning error was better than 1 m, and the average positioning error was 0.56 m. Compared with several relatively advanced positioning methods (Inter-satellite CPDM/Epoch-CPDS/Z-KPI) at present, the average positioning accuracy is improved by about 56%, 83.5% and 82.9%, respectively, which verifies the effectiveness of the algorithm. To verify the effect of the proposed method in a practical application environment, the proposed positioning system is deployed in the 2022 Winter Olympics venues. The results show that the proposed method has a significant improvement in the positioning accuracy and continuity.https://www.mdpi.com/2072-4292/15/2/353indoor positioningpseudo satellitefusion positioningcredible assessment
spellingShingle Lu Huang
Baoguo Yu
Shitong Du
Jun Li
Haonan Jia
Jingxue Bi
Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
Remote Sensing
indoor positioning
pseudo satellite
fusion positioning
credible assessment
title Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
title_full Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
title_fullStr Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
title_full_unstemmed Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
title_short Multi-Level Fusion Indoor Positioning Technology Considering Credible Evaluation Analysis
title_sort multi level fusion indoor positioning technology considering credible evaluation analysis
topic indoor positioning
pseudo satellite
fusion positioning
credible assessment
url https://www.mdpi.com/2072-4292/15/2/353
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AT baoguoyu multilevelfusionindoorpositioningtechnologyconsideringcredibleevaluationanalysis
AT shitongdu multilevelfusionindoorpositioningtechnologyconsideringcredibleevaluationanalysis
AT junli multilevelfusionindoorpositioningtechnologyconsideringcredibleevaluationanalysis
AT haonanjia multilevelfusionindoorpositioningtechnologyconsideringcredibleevaluationanalysis
AT jingxuebi multilevelfusionindoorpositioningtechnologyconsideringcredibleevaluationanalysis