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Accurate Low Complexity Quadrature Angular Diversity Aperture Receiver for Visible Light Positioning.

Stefanie Cincotta1,2, Adrian Neild3, Kristian Helmerson4

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Summary
This summary is machine-generated.

A new Quadrature Angular Diversity Aperture Receiver (QADA) uses simple components for accurate indoor positioning. This visible light positioning system offers a compact and flexible solution for angle of arrival estimation.

Keywords:
angle of arrival (AOA)indoor positioning system (IPS)programmable system on a chip (PSoC)quadrature angular diversity aperture receiver (QADA)sensor fusionvisible light positioning (VLP)

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Area of Science:

  • Optoelectronics
  • Indoor Positioning Systems
  • Sensor Technology

Background:

  • Existing indoor positioning systems (IPS) often rely on radio transmitters, with limited research on compact angle of arrival (AOA) receivers for visible light positioning (VLP).
  • Visible light positioning (VLP) utilizes LED lights as beacons, with cameras or photodiodes (PDs) as receivers, typically estimating position via AOA or signal strength.

Purpose of the Study:

  • To introduce a novel, compact Quadrature Angular Diversity Aperture Receiver (QADA) design for visible light positioning (VLP).
  • To demonstrate the feasibility of using readily available components for accurate AOA estimation in VLP systems.

Main Methods:

  • Development of a new QADA design incorporating a quadrant photodiode, a 3D-printed aperture, and a programmable system on a chip (PSoC).
  • Experimental validation of the QADA design within a room-sized test chamber to assess AOA estimation accuracy.

Main Results:

  • The developed QADA design successfully provided accurate AOA estimates in a room-sized environment.
  • The use of a PSoC allows for flexibility and potential integration with other sensors for future sensor-fusion systems.

Conclusions:

  • The new QADA design offers a viable, compact, and cost-effective solution for AOA-based VLP.
  • The PSoC's programmability enables future advancements in sensor fusion for enhanced indoor positioning.