Polynomial fitting functions for visible light positioning based on RSS with tilted receiver

Cristobal Carreño (1) , Fabián Seguel (2) , Patrick Charpentier (1) , Nicolas Krommenacker (1)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 Department of Electrical Engineering

In this work, we present the construction and comparison of three multivariate fitting functions to model the relation between received signal strength (RSS) and tilted receiver angle for 2-D visible light positioning systems. The performance of the different functions has been analysed by simulations for a mobile node. The tilted angle has been obtained from an inertial measurement unit (IMU) sensor considering his deviation from experimental measurements. This mismatch measurement is introduced in the Monte-Carlo simulation to measure its impact on the position estimation. According to the results, third order polynomial function overcomes first and second-order polynomial functions achieving a 0.16 m accuracy error.

Mots clés: Visible Light Positioning; Tilted Photodiode; Polynomial Fitting; Inertial Measurement Unit; Received Signal Strength

Domaines: Traitement du signal et de l'image [eess.SP]; Optique / photonique

Cristobal Carreño, Fabián Seguel, Patrick Charpentier, Nicolas Krommenacker. Polynomial fitting functions for visible light positioning based on RSS with tilted receiver. 11th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021, Nov 2021, Lloret de Mar, Spain. ⟨hal-03480757⟩