Indoor Visible Light 3D Localization System Based on Black Wing Kite Algorithm
Jiahui Wang, Xiangyu Wang, Chaochuan Jia, Cui Yang
Abstract
This study proposes an indoor visible light localization technique incorporating the black-winged kite algorithm to address problems such as limited indoor localization accuracy. The black-winged kite algorithm is an intelligent optimization algorithm inspired by the hunting behavior of black-winged kites in nature, and it is designed to solve the problem of global optimization. The indoor visible light localization problem can be transformed into a problem of solving the optimal coordinates of the receiver globally. Combining the black-winged kite algorithm and the indoor visible light problem can effectively localize the receiver’s position accurately in a complex indoor environment. The simulation results show that in the indoor environment of 5m <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 5$ </tex-math></inline-formula>m <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times 6$ </tex-math></inline-formula>m, the average error of 1.29cm and the maximum error of 6.29cm are achieved after 100 iterations and 90.02% of the average localization error is less than 2.39cm, the horizontal error is less than 2.20cm. The vertical error is 0.39cm, which realizes high-precision localization. The three-dimensional positioning error distribution map visualizes the distribution of the space error in space, further demonstrating the scheme’s effectiveness. It provides a new method for visible light indoor positioning technology.