The Performance of RSS Based Visible Light Positioning Techniques under Different Uniformity Conditions

As visible light positioning combines illumination and indoor localization, the relationship between the uniformity index as a quality measurement of the illumination and the precision of the positioning technique is investigated. It is demonstrated that the classic multilateration approach leads to a degradation of the accuracy as the uniformity improves. When a Gaussian Process is deployed, the accuracy improves for better uniformity indices. Further normalization of the area size leads to a generic curve that can be used to estimate the required training set size when a Gaussian Process is used given the required accuracy and observation plane size.