Database Assisted Nonlinear Least Squares Algorithm for Visible Light Positioning in NLOS Environments
We propose an indoor localization algorithm for visible light systems by considering effects of non-line-of-sight (NLOS) propagation. The proposed algorithm, named database assisted nonlinear least squares (DA-NLS), utilizes ideas from both the classical NLS algorithm and the fingerprinting algorithm to achieve accurate and robust localization performance in NLOS environments. In particular, a database is used to learn NLOS related parameters, which are employed in an NLS algorithm to estimate the position. The performance of the proposed algorithm is compared against that of the fingerprinting and NLS algorithms.
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