中国激光, 2018, 45 (8): 0806002, 网络出版: 2018-08-11   

基于指纹的室内可见光定位方法 下载: 859次

Fingerprint Based Visible Light Indoor Localization Method
作者单位
1 清华大学信息科学与技术国家实验室, 北京 100084
2 深圳清华大学研究院广东省数字电视系统重点实验室, 广东 深圳 518057
摘要
为了实现低成本、低复杂度以及高精度的室内定位系统,提出了基于指纹的室内可见光定位方法。该方法利用可见光发光二极管作为信号源,根据接收到的可见光信号强度信息,结合三角定位算法和指纹定位算法,实现室内高精度定位。定位过程主要分为两步:第一步,通过三角定位算法确定移动目标粗略的位置范围; 第二步,以该位置范围作为限制条件,使用指纹定位算法实现更精确定位。实验结果表明,该方法与传统的基于可见光信号强度的定位方法相比,平均定位精度提高了64.71%; 同时,与传统的基于指纹的定位方法相比,可以在更低复杂度的情况下,实现更精确定位。
Abstract
In order to achieve low-cost, low-complexity and high-precision indoor localization system, we propose a fingerprint based visible light indoor localization method. In the method, the light emmiting diode (LED) is employed as the transmitter. Based on the received signal strengths (RSS) of visible light, the triangulation method and fingerprint based hybrid positioning algorithm are combined to achieve indoor high precision localization. The proposed method can be divided into two phases. First, the triangulation method is used to obtain the coarse range of the mobile terminal (MT). Then, the fingerprint based method which is constrained by the coarse range is used to get a fine estimate of the MT. Experimental results show that the averaged positioning error of the proposed method is improved by 64.71% compared with that of the traditional RSS based visible light indoor localization method. Besides, the proposed method can achieve better localization performance at lower computational complexity compared with the traditional fingerprint based method.

赵楚韩, 张洪明, 宋健. 基于指纹的室内可见光定位方法[J]. 中国激光, 2018, 45(8): 0806002. Zhao Chuhan, Zhang Hongming, Song Jian. Fingerprint Based Visible Light Indoor Localization Method[J]. Chinese Journal of Lasers, 2018, 45(8): 0806002.

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