Tilted-angle insensitive received signal strength in visible light positioning systems using a deep neural network trained by synthetic data

Author:

Zhu Junfeng1ORCID,Lin Mingliang2ORCID,Xing Jingchao1ORCID,Chen Boqian1,Gu Zhiliang1,Zhang Zhiqing1,Xu Yiqin1ORCID

Affiliation:

1. Institute of Semiconductors, Guangdong Academy of Sciences 1 , Guangzhou 510650, People’s Republic of China

2. School of Electric Power Engineering, South China University of Technology 2 , Guangzhou 510641, People’s Republic of China

Abstract

Despite extensive research on received signal strength (RSS)-based visible light positioning (VLP), the receiver (RX) is assumed to stand vertically during the positioning process in most reported system designs. In this work, we propose a positioning strategy using a deep neural network (DNN) trained by synthetic data to address this problem. We further explicitly state the deficiencies in the current RSS-VLP algorithms when handling positioning problems involving RX orientation. Compared with existing RSS-VLP algorithms, our method can achieve high positioning accuracy even when the RX orientation is unknown. The results can further verify the feasibility of the system. In addition to the orientation predictability, the trained DNN can also regulate the algorithm time for each position.

Funder

Guangdong Academy of Sciences

Publisher

AIP Publishing

Subject

General Physics and Astronomy

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3