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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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Indoor high-precision visible light positioning system using Jaya algorithm.

Cuicui Cai1, Maosheng Fu1, Xianmeng Meng2

  • 1School of Electronics and Information Engineering, West Anhui University, Lu'an 237012, China.

Mathematical Biosciences and Engineering : MBE
|June 16, 2023
PubMed
Summary
This summary is machine-generated.

A new indoor positioning system uses visible light communication (VLC) and the Jaya algorithm for high-precision 3D localization. This method achieves an average error of 1.06 cm, significantly outperforming other algorithms.

Keywords:
Jaya algorithmindoor positioning systemlocation accuracyreceived signal strengthvisible light communication

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Robotics

Background:

  • Indoor positioning systems (IPS) are crucial for various applications.
  • Visible Light Communication (VLC) offers a promising technology for IPS due to its simplicity and precision.
  • Received Signal Strength (RSS) is a common principle for positioning in VLC systems.

Purpose of the Study:

  • To propose an indoor three-dimensional (3D) Visible Light Positioning (VLP) system using the Jaya algorithm.
  • To enhance the precision of indoor localization compared to existing methods.

Main Methods:

  • Implementation of a 3D VLP system leveraging the Jaya algorithm.
  • Utilizing Received Signal Strength (RSS) for position estimation.
  • Comparative analysis with Harris Hawks Optimization (HHO), Ant Colony Optimization (ACO-ABOM), and Modified Artificial Fish Swam Algorithm (MAFSA).

Main Results:

  • The Jaya algorithm achieved an average positioning error of 1.06 cm in 3D indoor environments.
  • Performance comparison showed lower average errors than HHO (2.21 cm), ACO-ABOM (1.86 cm), and MAFSA (1.56 cm).
  • In motion scenes, the proposed system achieved a high-precision error of 0.84 cm.

Conclusions:

  • The Jaya algorithm presents an efficient and accurate method for 3D indoor localization using VLC.
  • The proposed system demonstrates superior performance over other tested algorithms.
  • This approach holds significant potential for advancing high-precision indoor positioning applications.