论文标题
数据库辅助非线性最小二乘算法在NLOS环境中可见光定位
Database Assisted Nonlinear Least Squares Algorithm for Visible Light Positioning in NLOS Environments
论文作者
论文摘要
我们通过考虑非线（NLOS）传播的影响，为可见光系统提出了一种室内定位算法。所提出的算法（名为数据库辅助非线性最小二乘正方形（DA-NLS））利用经典NLS算法和指纹算法的想法来实现NLOS环境中的准确而鲁棒的定位性能。特别是，数据库用于学习NLOS效应，然后使用NLS算法来估计位置。将提出的算法的性能与指纹和NLS算法的性能进行了比较。
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 effects, and then an NLS algorithm is employed to estimate the position. The performance of the proposed algorithm is compared against that of the fingerprinting and NLS algorithms.
