{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:27:02Z","timestamp":1781195222503,"version":"3.54.1"},"reference-count":50,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2020,12,17]],"date-time":"2020-12-17T00:00:00Z","timestamp":1608163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51674255"],"award-info":[{"award-number":["51674255"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The study of visible light indoor position has received considerable attention. The visible light indoor position has problems such as deployment difficulty and high cost. In our system, we propose a new fingerprint construction algorithm to simplify visible light indoor position. This method can realize the rapid construction of a visible fingerprint database and prove that the fingerprint database can be used repeatedly in different environments. We proved the theoretical feasibility of this method through theoretical derivation. We carried out extensive experiments in two classic real indoor environments. Experimental results show that reverse fingerprinting can be achieved. In 95% of cases, the positioning accuracy can be guaranteed to be less than 10 cm.<\/jats:p>","DOI":"10.3390\/s20247245","type":"journal-article","created":{"date-parts":[[2020,12,17]],"date-time":"2020-12-17T10:42:47Z","timestamp":1608201767000},"page":"7245","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exploring Fast Fingerprint Construction Algorithm for Unmodulated Visible Light Indoor Localization"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5589-1582","authenticated-orcid":false,"given":"Chenqi","family":"Shi","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyv","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chanjuan","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China"},{"name":"China Mine Digitization Engineering Research Center, Ministry of Education, Xuzhou 221116, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Torres, J.C., Montes, A., Mendoza, S.L., Fernandez, P.R., Betancourt, J.S., Escandell, L., del Valle, C.I., and Sanchez-Pena, J.M. (2020). A Low-Cost Visible Light Positioning System for Indoor Positioning. Sensors, 20.","DOI":"10.3390\/s20185145"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"10211","DOI":"10.1109\/JSEN.2020.2990752","article-title":"A Novel Visible Light Positioning System With Event-Based Neuromorphic Vision Sensor","volume":"20","author":"Chen","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1109\/LCOMM.2020.2990950","article-title":"Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning","volume":"24","author":"Knudde","year":"2020","journal-title":"IEEE Commun. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1956","DOI":"10.1109\/TMC.2019.2915220","article-title":"SmartVLC: Co-Designing Smart Lighting and Communication for Visible Light Networks","volume":"19","author":"Wu","year":"2020","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5589","DOI":"10.1109\/TIM.2019.2962563","article-title":"Visible Light Positioning System Based on a Quadrant Photodiode and Encoding Techniques","volume":"69","author":"Hernandez","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5025","DOI":"10.1109\/TWC.2020.2988907","article-title":"Visible Light-Based User Position, Orientation and Channel Estimation Using Self-Adaptive Location-Domain Grid Sampling","volume":"19","author":"Zhou","year":"2020","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hong, C.Y., Wu, Y.C., Liu, Y., Chow, C.W., Yeh, C.H., Hsu, K.L., Lin, D.C., Liao, X.L., Lin, K.H., and Chen, Y.Y. (2020). Angle-of-Arrival (AOA) Visible Light Positioning (VLP) System Using Solar Cells with Third-Order Regression and Ridge Regression Algorithms. IEEE Photonics J., 12.","DOI":"10.1109\/JPHOT.2020.2993031"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"De-La-Llana-Calvo, A., Lazaro-Galilea, J.L., Gardel-Vicente, A., Rodriguez-Navarro, D., Rubiano-Muriel, B., and Bravo-Munoz, I. (2020). Analysis of Multiple-Access Discrimination Techniques for the Development of a PSD-Based VLP System. Sensors, 20.","DOI":"10.3390\/s20061717"},{"key":"ref_9","unstructured":"Li, L., Xie, P., Wang, J., and Acm (November, January 29). RainbowLight: Towards Low Cost Ambient Light Positioning with Mobile Phones. Proceedings of the Mobicom\u201918, 24th Annual International Conference on Mobile Computing and Networking, New Delhi, India."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1109\/JPROC.2018.2823500","article-title":"Localization via Visible Light Systems","volume":"106","author":"Keskin","year":"2018","journal-title":"Proc. IEEE"},{"key":"ref_11","first-page":"1363","article-title":"Short-range Visible Light Positioning Based on Angle of Arrival for Smart Indoor Service","volume":"13","author":"Lee","year":"2018","journal-title":"J. Electr. Eng. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.optcom.2017.12.045","article-title":"Indoor high precision three-dimensional positioning system based on visible light communication using modified genetic algorithm","volume":"413","author":"Chen","year":"2018","journal-title":"Opt. Commun."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Xie, C., Guan, W., Wu, Y., Fang, L., and Cai, Y. (2018). The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method. IEEE Photonics J., 10.","DOI":"10.1109\/JPHOT.2018.2809731"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/LCOMM.2019.2958629","article-title":"Intelligent and Practical Deep Learning Aided Positioning Design for Visible Light Communication Receivers","volume":"24","author":"Lin","year":"2020","journal-title":"IEEE Commun. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Soto, I., Nilson Rodrigues, R., Massuyama, G., Seguel, F., Palacios Jativa, P., Azurdia-Meza, C.A., and Krommenacker, N. (2020). A Hybrid VLC-RF Portable Phasor Measurement Unit for Deep Tunnels. Sensors, 20.","DOI":"10.3390\/s20030790"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1109\/JSEN.2019.2944178","article-title":"FieldLight: Device-Free Indoor Human Localization Using Passive Visible Light Positioning and Artificial Potential Fields","volume":"20","author":"Konings","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.optcom.2018.04.062","article-title":"High-speed 3D indoor localization system based on visible light communication using differential evolution algorithm","volume":"424","author":"Wu","year":"2018","journal-title":"Opt. Commun."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Vieira, M., Vieira, M.A., Louro, P., and Vieira, P. (2018). Light-emitting diodes aided indoor localization using visible light communication technology. Opt. Eng., 57.","DOI":"10.1117\/1.OE.57.8.087105"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1109\/LPT.2018.2834930","article-title":"A VLC Smartphone Camera Based Indoor Positioning System","volume":"30","author":"Li","year":"2018","journal-title":"IEEE Photonics Technol. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Amsters, R., Demeester, E., Stevens, N., and Slaets, P. (2019). In-Depth Analysis of Unmodulated Visible Light Positioning Using the Iterated Extended Kalman Filter. Sensors, 19.","DOI":"10.3390\/s19235198"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Almadani, Y., Ijaz, M., Joseph, W., Bastiaens, S., Rajbhandari, S., Adebisi, B., and Plets, D. (2019). A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications. Electronics, 8.","DOI":"10.3390\/electronics8111311"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Yang, F., Gao, J., and Liu, Y. (2019). Indoor visible light positioning system based on cooperative localization. Opt. Eng., 58.","DOI":"10.1117\/1.OE.58.1.016108"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tran, H.Q., and Ha, C. (2019). Fingerprint-Based Indoor Positioning System Using Visible Light Communication\u2014A Novel Method for Multipath Reflections. Electronics, 8.","DOI":"10.3390\/electronics8010063"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1109\/TCOMM.2018.2866849","article-title":"Optimal and Robust Power Allocation for Visible Light Positioning Systems Under Illumination Constraints","volume":"67","author":"Keskin","year":"2019","journal-title":"IEEE Trans. Commun."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Hao, J., Chen, J., and Wang, R. (2019). Visible Light Positioning Using A Single LED Luminaire. IEEE Photonics J., 11.","DOI":"10.1109\/JPHOT.2019.2930209"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Gong, C. (2019). Visible Light Communication and Positioning: Present and Future. Electronics, 8.","DOI":"10.3390\/electronics8070788"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Xu, J., Gong, C., and Xu, Z. (2018). Experimental Indoor Visible Light Positioning Systems With Centimeter Accuracy Based on a Commercial Smartphone Camera. IEEE Photonics J., 10.","DOI":"10.1109\/GLOCOMW.2018.8644462"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1109\/LCOMM.2018.2867026","article-title":"Magnitude of the Distance Estimation Bias in Received Signal Strength Visible Light Positioning","volume":"22","author":"Stevens","year":"2018","journal-title":"IEEE Commun. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1109\/LCOMM.2018.2833550","article-title":"Visible Light Communications-Based Indoor Positioning via Compressed Sensing","volume":"22","author":"Gligoric","year":"2018","journal-title":"IEEE Commun. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Phong Ha, N., Arsalan, M., Koo, J.H., Naqvi, R.A., Noi Quang, T., and Park, K.R. (2018). LightDenseYOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone. Sensors, 18.","DOI":"10.3390\/s18061703"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Prince, G.B., and Little, T.D.C. (2018). Two-Phase Framework for Indoor Positioning Systems Using Visible Light. Sensors, 18.","DOI":"10.3390\/s18061917"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Guan, W., Chen, X., Huang, M., Liu, Z., Wu, Y., and Chen, Y. (2018). High-Speed Robust Dynamic Positioning and Tracking Method Based on Visual Visible Light Communication Using Optical Flow Detection and Bayesian Forecast. IEEE Photonics J., 10.","DOI":"10.1109\/JPHOT.2018.2841979"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Zhao, H.X., and Wang, J.T. (2019). A Novel Three-Dimensional Algorithm Based on Practical Indoor Visible Light Positioning. IEEE Photonics J., 11.","DOI":"10.1109\/JPHOT.2019.2911738"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"16377","DOI":"10.1364\/OE.27.016377","article-title":"Visible light communication and positioning using positioning cells and machine learning algorithms","volume":"27","author":"Chuang","year":"2019","journal-title":"Opt. Express"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Afzalan, M., and Jazizadeh, F. (2019). Indoor Positioning Based on Visible Light Communication: A Performance-based Survey of Real-world Prototypes. Acm Comput. Surv., 52.","DOI":"10.1145\/3299769"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3214","DOI":"10.1364\/AO.58.003214","article-title":"Hybrid indoor localization scheme with image sensor-based visible light positioning and pedestrian dead reckoning","volume":"58","author":"Huang","year":"2019","journal-title":"Appl. Opt."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Yuan, T., Xu, Y., Wang, Y., Han, P., and Chen, J. (2018). A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method. IEEE Photonics J., 10.","DOI":"10.1109\/JPHOT.2018.2880872"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Tran, H.Q., and Ha, C. (2019). Improved Visible Light-Based Indoor Positioning System Using Machine Learning Classification and Regression. Appl. Sci., 9.","DOI":"10.3390\/app9061048"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Wu, Y., Guo, Z., Liu, X., Xian, Y., and Guan, W. (2019). High precision and high speed of three-dimensional indoor localization system based on visible light communication using improved bacterial colony chemotaxis algorithm. Opt. Eng., 58.","DOI":"10.1117\/1.OE.58.3.036103"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Xie, Z., Guan, W., Zheng, J., Zhang, X., Chen, S., and Chen, B. (2019). A High-Precision, Real-Time, and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter. Sensors, 19.","DOI":"10.3390\/s19051094"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1364\/OL.44.000775","article-title":"Compensating spatially dependent dispersion in visible light OCT","volume":"44","author":"Kho","year":"2019","journal-title":"Opt. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Cincotta, S., He, C., Neild, A., and Armstrong, J. (2019). Indoor Visible Light Positioning: Overcoming the Practical Limitations of the Quadrant Angular Diversity Aperture Receiver (QADA) by Using the Two-Stage QADA-Plus Receiver. Sensors, 19.","DOI":"10.3390\/s19040956"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"De-La-Llana-Calvo, A., Lazaro-Galilea, J.L., Gardel-Vicente, A., Rodriguez-Navarro, D., Bravo-Munoz, I., and Espinosa-Zapata, F. (2019). Characterization of Multipath Effects in Indoor Positioning Systems by AoA and PoA Based on Optical Signals. Sensors, 19.","DOI":"10.3390\/s19040917"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Guan, W., Wen, S., Liu, L., and Zhang, H. (2019). High-precision indoor positioning algorithm based on visible light communication using complementary metal-oxide-semiconductor image sensor. Opt. Eng., 58.","DOI":"10.1117\/1.OE.58.2.024101"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Guo, C., and Shao, J. (2019). Implementation and improvement of Bayes\u2019s theorem for indoor visible light positioning system. Opt. Eng., 58.","DOI":"10.1117\/1.OE.58.2.026110"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/LPT.2018.2883345","article-title":"VLIP: Tightly Coupled Visible-Light\/Inertial Positioning System to Cope With Intermittent Outage","volume":"31","author":"Qin","year":"2019","journal-title":"IEEE Photonics Technol. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"93986","DOI":"10.1109\/ACCESS.2019.2928014","article-title":"Experimental Demonstration of 3D Visible Light Positioning Using Received Signal Strength with Low-Complexity Trilateration Assisted by Deep Learning Technique","volume":"7","author":"Du","year":"2019","journal-title":"IEEE Access"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Chen, H., Hong, X., Chen, J., and IEEE (2019, January 3\u20137). Accuracy Enhancement of Indoor Visible Light Positioning using Point-Wise Reinforcement Learning. Proceedings of the Optical Fiber Communications Conference, San Diego, CA, USA.","DOI":"10.1364\/OFC.2019.Th3I.3"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Li, N., Qiao, Y., Zhang, T., and Lu, Y. (2018). Dead-zone-free three-dimensional indoor positioning method based on visible light communication with dimensionality reduction algorithm. Opt. Eng., 57.","DOI":"10.1117\/1.OE.57.3.036114"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Wang, Q., Luo, H., Men, A., Zhao, F., Gao, X., Wei, J., Zhang, Y., and Huang, Y. (2018). Light positioning: A high-accuracy visible light indoor positioning system based on attitude identification and propagation model. Int. J. Distrib. Sens. Netw., 14.","DOI":"10.1177\/1550147718758263"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/24\/7245\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:46:28Z","timestamp":1760179588000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/24\/7245"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,17]]},"references-count":50,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2020,12]]}},"alternative-id":["s20247245"],"URL":"https:\/\/doi.org\/10.3390\/s20247245","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,17]]}}}