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Characterization of an Ultrasonic Local Positioning System for 3D Measurements.

Khaoula Mannay1,2, Jesús Ureña2, Álvaro Hernández2

  • 1EμE Lab, Faculty of Sciences of Monastir, National Engineer School of Tunis, University of Tunis EI Manar, B.P. 37, Le Belvédère, Tunis 1002, Tunisia.

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Summary
This summary is machine-generated.

This study introduces a 3D ultrasonic local positioning system (ULPS) for accurate indoor tracking. The system achieves sub-decimeter accuracy in areas with full beacon coverage, enhancing indoor location and positioning systems (ILPS).

Keywords:
3D positioningLMSlocal positioning systems (LPS)maximum likelihood estimation (MLE)multilaterationultrasonic sensory systems

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Area of Science:

  • Robotics and Automation
  • Sensor Technology
  • Navigation Systems

Background:

  • Indoor location and positioning systems (ILPS) are crucial in environments lacking Global Navigation Satellite System (GNSS) signals.
  • Ultrasound technology offers a cost-effective and simple solution for indoor positioning.
  • Growing interest in applications within commercial centers, airports, hospitals, and factories necessitates advanced ILPS.

Purpose of the Study:

  • To propose and validate a novel 3D ultrasonic local positioning system (ULPS).
  • To enhance positioning accuracy and reliability in indoor and constrained outdoor environments.
  • To integrate multiple ultrasonic beacon units for improved spatial coverage and precision.

Main Methods:

  • Development of a 3D ULPS utilizing three asynchronous ultrasonic beacon units and a 3D mobile receiver.
  • Each beacon unit features five ultrasonic transmitters for comprehensive coverage.
  • Position calculation through hyperbolic trilateration and Minimum Likelihood Estimation (MLE) fusion of data from multiple beacons.

Main Results:

  • Achieved positioning accuracy below decimeters for 90% of cases within the three-beacon coverage zone.
  • Experimental verification demonstrated performance in a large volume workspace across two horizontal planes.
  • Accuracy degradation observed when coverage from one or more beacons is unavailable.

Conclusions:

  • The proposed 3D ULPS demonstrates high accuracy in environments with sufficient beacon coverage.
  • The MLE fusion algorithm effectively merges data from multiple beacons for precise localization.
  • The system shows promise for applications requiring reliable indoor tracking, even with potential coverage limitations.