激光与光电子学进展, 2014, 51 (9): 090604, 网络出版: 2014-08-20
基于可见光通信的室内定位算法及相应参数估计克拉美罗界 下载: 645次
Indoor Location Method and the Cramer-Rao Bound Estimation Based on Visible Light Communications
可见光通信 室内定位 克拉美罗界 高斯-牛顿算法 visible light communications indoor location Cramer-Rao Bound Gauss-Newton algorithm
摘要
基于可见光通信的新型室内定位方法具有传统无线定位方法难以替代的优势,且室内光源布局对定位性能的好坏有着直接影响。在满足室内光照条件要求的前提下,针对典型可见光通信室内定位模拟环境,推导了待测点的克拉美罗界(CRB)和定位性能最佳的光源布局,并使用高斯-牛顿算法进行了仿真分析,证明了文中推导的正确性。
Abstract
The new indoor location method based on visible light communications has irreplaceable advantages over traditional wireless location methods. As for the new location method, the light distribution has direct impact on the location performance. In the condition of meeting the indoor illumination requirements, the cramer-rao bound (CRB) and the optimal light distribution with the best location performance in a typical simulation environment is inferred, after that, simulation analysis is given using the Gauss-Newton algorithm, and the results demonstrate the validity of the theory.
沈芮, 张剑, 王鼎. 基于可见光通信的室内定位算法及相应参数估计克拉美罗界[J]. 激光与光电子学进展, 2014, 51(9): 090604. Shen Rui, Zhang Jian, Wang Ding. Indoor Location Method and the Cramer-Rao Bound Estimation Based on Visible Light Communications[J]. Laser & Optoelectronics Progress, 2014, 51(9): 090604.