• Acta Optica Sinica
  • Vol. 41, Issue 10, 1006001 (2021)
Chenglin Yuan, Huimin Lu*, Jiacheng Huang, and Jianping Wang
Author Affiliations
  • School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • show less
    DOI: 10.3788/AOS202141.1006001 Cite this Article Set citation alerts
    Chenglin Yuan, Huimin Lu, Jiacheng Huang, Jianping Wang. Energy Self-Sustaining Visible Light Positioning Algorithm Based on Clustering[J]. Acta Optica Sinica, 2021, 41(10): 1006001 Copy Citation Text show less
    Schematic of energy self-sustaining indoor VLP system based on Kmeans-KNN fusion algorithm
    Fig. 1. Schematic of energy self-sustaining indoor VLP system based on Kmeans-KNN fusion algorithm
    Clustering results of the location area obtained by the Kmeans clustering algorithm. (a) First-level clustering; (b) second-level clustering
    Fig. 2. Clustering results of the location area obtained by the Kmeans clustering algorithm. (a) First-level clustering; (b) second-level clustering
    Using Kmeans-KNN fusion algorithm, the positioning error of the system changes with K. (a) RMSE comparison with traditional KNN algorithm; (b) CDF of average error
    Fig. 3. Using Kmeans-KNN fusion algorithm, the positioning error of the system changes with K. (a) RMSE comparison with traditional KNN algorithm; (b) CDF of average error
    RMSE of the positioning system varying with the signal-to-noise ratio
    Fig. 4. RMSE of the positioning system varying with the signal-to-noise ratio
    System positioning error using Kmeans-KNN fusion algorithm. (a) Average error CDF; (b) positioning error distribution
    Fig. 5. System positioning error using Kmeans-KNN fusion algorithm. (a) Average error CDF; (b) positioning error distribution
    Chenglin Yuan, Huimin Lu, Jiacheng Huang, Jianping Wang. Energy Self-Sustaining Visible Light Positioning Algorithm Based on Clustering[J]. Acta Optica Sinica, 2021, 41(10): 1006001
    Download Citation