High Coverage Camera-assisted Received Signal Assisted Algorithm in Indoor Visible Light Positioning Systems

JIA Song-lin; LIU Jun-wei; HU Wu-xia; JIN Ling

doi:10.13756/j.gtxyj.2022.06.007

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High Coverage Camera-assisted Received Signal Assisted Algorithm in Indoor Visible Light Positioning Systems

更新时间：2023-01-29

- High Coverage Camera-assisted Received Signal Assisted Algorithm in Indoor Visible Light Positioning Systems
- Study on Optical Communications Issue 6, Pages: 39-44(2022)
- 作者机构：
  
  1.航天东方红卫星有限公司，北京　100094
  2a.北京邮电大学　世纪学院，北京　100086
  2b.北京邮电大学　信息与通信工程学院，北京　100086
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.06.007
  CLC： TN929.1
- Published：10 December 2022，
  
  Received：24 April 2022，
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JIA Song-lin, LIU Jun-wei, HU Wu-xia, et al. High Coverage Camera-assisted Received Signal Assisted Algorithm in Indoor Visible Light Positioning Systems. [J]. Study on Optical Communications (6):39-44(2022)
DOI：

JIA Song-lin, LIU Jun-wei, HU Wu-xia, et al. High Coverage Camera-assisted Received Signal Assisted Algorithm in Indoor Visible Light Positioning Systems. [J]. Study on Optical Communications (6):39-44(2022) DOI： 10.13756/j.gtxyj.2022.06.007.

摘要

文章针对可见光定位(VLP)系统提出了一种新颖的非线性摄像机辅助的接收信号强度(nCA-RSS)算法。nCA-RSS算法的基本思想是，同时利用摄像机和光电二极管(PD)分别捕获视觉和强度信息，实现高覆盖和高精度定位。首先，基于单视图几何理论，nCA-RSS算法利用视觉信息来估计可见光的入射角；然后，基于估计的入射角，nCA-RSS算法利用强度信息来确定接收器位置。由于使用了视觉信息，nCA-RSS算法对接收器方向不再限制。此外，基于Levenberg-Marquardt算法，nCA-RSS算法仅使用3个发光二极管(LED)即可实现三维(3D)定位。因此，与透视n点算法相比，nCA-RSS实现了更高的覆盖率。仿真结果表明，在80%以上的室内区域，无论接收器方向如何，nCA-RSS算法对于80%以上的样本可以实现约2.5 cm的定位精度。

Abstract

This paper proposes a novel Non-linear Camera Assisted-Received Signal Strength (nCA-RSS) algorithm. The basic idea of nCA-RSS is to simultaneously utilize camera and Photo-Diode (PD) to capture visual information and signal strength information to achieve both high coverage and accurate positioning. First

based on single-view geometry theorem

nCA-RSS algorithm estimates incidence angle of visible light based on visual information. Then

based on the estimated incidence angle

nCA-RSS algorithm utilizes signal strength to determine the location of the receiver. Due to the use of visual information

nCA-RSS no longer has orientation limitations. Based on Levenberg-Marquardt

nCA-RSS can use three Light Emitting Diode (LED) to achieve precise 3-Dimensional (3D) positioning. Therefore

compared with perspective n point algorithm

nCA-RSS can achieve high coverage. Simulation results show that nCA-RSS can achieve 80

percentile accuracies of less than 2.5 cm for positioning regardless of the orientation of the receiver.

关键词

可见光定位接收信号强度算法摄像机Levenberg-Marquardt算法

Keywords

VLPreceived signal strengthcameraLevenberg-Marquardt algorithm

references

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Bai L, Yang Y, Guo C, et al. Camera Assisted Received Signal Strength Ratio Algorithm for Indoor Visible Light Positioning[J]. IEEE Communications Letters, 2019, 23(11): 2022-2025.

Lepetit V, Moreno-Noguer F, Fua P. EPnP: An Accurate O(n) Solution to the PnP Problem[J]. International Journal of Computer Vision, 2019(2): 155.

Bai L, Yang Y, Feng C, et al. An Enhanced Camera Assisted Received Signal Strength Ratio Algorithm for Indoor Visible Light Positioning[C]//International Conference on Communications Workshops (ICC Workshops). Dublin, Ireland: IEEE, 2020: 9145234.

Ueda K, Yamashita N. On a Global Complexity Bound of the Levenberg-marquardt Method [J]. Journal of Optimization Theory and Applications, 2010, 147(3): 443-453.

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