Research and Application of Underground WLAN Adaptive Radio Fingerprint Database
Abstract
:1. Introduction
2. QPSO Algorithm
3. ULTF
3.1. The Principle of ULTF
3.2. User-Location TrackGeneration
4. Adaptive Radio Fingerprint Database
4.1. Adaptive Construction of RadioFingerprint Database Based on QPSO–ULTF
4.1.1. The Principle and Process of QPSO–ULTF for Adaptive Construction of Radio Fingerprint Database
4.1.2. Experimental Comparison of the Adaptive Radio Fingerprint Database and Traditional Radio Fingerprint Database
4.2. Adaptive Update of RadioFingerprint Database Based on QPSO–ULTF
4.2.1. RSS Distribution When Tunnel Environment Changes
4.2.2. The Principle and Process of QPSO–ULTF for Adaptive Update of Radio Fingerprint Database
4.2.3. Adaptive Updating Experiment of Radio Fingerprint Database
5. Results and Discussion
5.1. Establishment of Underground Positioning Experiment
5.2. Experimental Results and Analysis
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
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Database | WKNN | LDE | KPCA |
---|---|---|---|
Manually radio maps | 3 m | 4 m | 3 m |
Adaptive radio maps | 3 m | 4 m | 3 m |
Database | WKNN | LDE | KPCA |
---|---|---|---|
Manually radio maps | 3.5 m | 4 m | 3 m |
Adaptive radio maps | 3.5 m | 4.5 m | 3.5 m |
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Qian, J.; Song, M. Research and Application of Underground WLAN Adaptive Radio Fingerprint Database. Sensors 2020, 20, 1182. https://doi.org/10.3390/s20041182
Qian J, Song M. Research and Application of Underground WLAN Adaptive Radio Fingerprint Database. Sensors. 2020; 20(4):1182. https://doi.org/10.3390/s20041182
Chicago/Turabian StyleQian, Jiansheng, and Mingzhi Song. 2020. "Research and Application of Underground WLAN Adaptive Radio Fingerprint Database" Sensors 20, no. 4: 1182. https://doi.org/10.3390/s20041182
APA StyleQian, J., & Song, M. (2020). Research and Application of Underground WLAN Adaptive Radio Fingerprint Database. Sensors, 20(4), 1182. https://doi.org/10.3390/s20041182