中国激光, 2017, 44 (10): 1006003, 网络出版: 2017-10-18
基于可见光通信的时分复用组网下移动目标定位方法 下载: 792次
Moving Target Positioning Method Based on Visible Light Communication in Time Division Multiplexing Network
光通信 可见光定位 均值模型 时钟同步 时分复用 发光二极管 optical communications visible light positioning mean model clock synchronization time division multiplexing light emitting diode
摘要
为了减小室内可见光定位中存在的噪声和时延对定位精度的影响, 提出了一种室内发光二极管(LED)可见光定位算法。引入蜂窝拓扑结构进行可见光室内定位, 自适应选取LED信标节点。研究噪声对接收光功率的影响, 采用均值模型对接收光功率进行校正。传统的可见光时分复用定位系统时延过长, 易出现时钟同步错误。为满足高精度实时定位, 采用改进的时分复用组网系统。通过小区划分, 选取网络源中心节点;通过竞争申请时隙段, 重复利用部分时隙段, 解决了帧长与LED节点数量的矛盾。仿真结果表明, 该算法可以有效减小目标移动和时钟同步错误对定位精度的影响, 提高了室内定位系统的实时性与稳健性。
Abstract
To reduce the influences of noise and time delay on positioning accuracy in indoor visible light positioning, a new indoor light-emitting diode (LED) visible light positioning algorithm is proposed. A honeycomb topology structure is introduced to locate the indoor visible light, and its beacon node is selected adaptively. The influence of the noise on the received optical power is studied, and a mean model is used to correct the received optical power. However, the time delay of conventional time division multiplexing system is too long, and thus the clock synchronization error occurs easily. In order to meet the high precision real-time positioning, an improved time division multiplexing network system is used. A network source center node is selected through the cell division. The partial time slot is reused through time slot competing so that the contradiction between the frame length and the number of LED nodes is solved. The simulation results show that the proposed algorithm can effectively reduce the influences of target moving and clock synchronization error on positioning accuracy, and improve the real-time performance and the stability of the indoor positioning system.
陈勇, 李逸超, 刘焕淋. 基于可见光通信的时分复用组网下移动目标定位方法[J]. 中国激光, 2017, 44(10): 1006003. Chen Yong, Li Yichao, Liu Huanlin. Moving Target Positioning Method Based on Visible Light Communication in Time Division Multiplexing Network[J]. Chinese Journal of Lasers, 2017, 44(10): 1006003.