A visible light communication indoor localization algorithm in rotated environments

Abstract

In this paper, a visible light communication (VLC) based localization algorithm is proposed for mobile device localization in indoor environments. The polar angle and azimuth angle measurements are first to estimate the projection position of light emitting diodes (LEDs) and then obtain the angle deviation estimation using the least square (LS) approach. The projection points in the reference coordination system are calculated in turn by taking advantage of the rotation transformation equation. The final position of mobile device can be estimated by the axes translation equation. Since an angle deviation preprocessing is proposed to solve the imprecise mobile device orientation without any additional hardware, it is more suitable for the practical application. Extensive simulation results demonstrate that the proposed approach can perform well under different scenarios.