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Easily-Deployable Acoustic Local Positioning System Based on Auto-Calibrated Wireless Beacons.

José A Moreno1, Fernando J Álvarez2, Teodoro Aguilera3

  • 1Sensory System Research Group, University of Extremadura, 06006 Badajoz, Spain. josan@unex.es.

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Summary

This study introduces a new software/hardware co-designed Acoustic Local Positioning System (ALPS) that reduces resource consumption for real-time positioning. The system achieves high accuracy below 0.1m using low-cost devices and efficient signal processing.

Keywords:
Acoustic Local Positioning System (ALPS)auto-calibrationdigital signal processingembedded systemswireless beacons

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Area of Science:

  • Robotics and Automation
  • Sensor Systems
  • Signal Processing

Background:

  • Traditional self-calibrated Acoustic Local Positioning Systems (ALPS) demand significant hardware and software resources.
  • Achieving acceptable update rates for user positioning is resource-intensive.

Purpose of the Study:

  • To propose a resource-efficient, self-calibrated ALPS using a software/hardware co-design approach.
  • To enable real-time positioning on low-cost devices with improved efficiency.

Main Methods:

  • Developed a co-designed architecture for efficient communications and signal processing.
  • Utilized a minimum of four RF-synchronized active acoustic beacons emitting spread-spectrum signals.
  • Implemented an auto-calibration process for receiver nodes to estimate beacon positions.
  • Employed a 3D multilateration algorithm for receiver node self-positioning.

Main Results:

  • Demonstrated system feasibility through experimental tests.
  • Achieved accuracies below 0.1 meters for receiver node positioning relative to calibrated beacons.
  • Enabled real-time system operation on low-cost hardware.

Conclusions:

  • The proposed software/hardware co-designed ALPS significantly reduces resource requirements.
  • The system offers a viable solution for accurate, real-time local positioning in resource-constrained environments.
  • This approach facilitates the deployment of ALPS on affordable devices.