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Indoor Intruder Tracking Using Visible Light Communications.

Farah M Alsalami1, Zahir Ahmad2, Stanislav Zvanovec3

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Summary
This summary is machine-generated.

This study introduces minimax filtering for indoor intruder tracking using visible light communication (VLC). Minimax filtering offers robust tracking against smart intruders, outperforming Kalman filters in both VLC and radio frequency (RF) systems.

Keywords:
Kalman filterindoor VLC channelintruder trackingminimax filterstate estimationvisible light communication

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Indoor tracking systems are crucial for security and surveillance.
  • Visible Light Communication (VLC) offers a promising alternative for indoor positioning and tracking.
  • Existing tracking methods may struggle with adversarial behavior and complex indoor environments.

Purpose of the Study:

  • To investigate the efficacy of minimax filtering for indoor intruder tracking using VLC.
  • To model and account for realistic indoor VLC channel conditions, including reflections, shadowing, and noise.
  • To evaluate the robustness of minimax filtering against intelligent intruders designed to evade tracking.

Main Methods:

  • Development of a realistic indoor VLC channel simulation.
  • Modeling of an intelligent intruder with noisy and disturbed trajectory.
  • Application and adaptation of minimax filtering for state estimation in VLC.
  • Comparative analysis of minimax filtering against the Kalman filter for both VLC and RF tracking.

Main Results:

  • The minimax filter demonstrated marginally superior tracking performance compared to the Kalman filter in VLC.
  • The minimax filter exhibited greater robustness against the adversary behavior of the intruder.
  • Estimation errors for the minimax filter in VLC were consistently below 0.5 cm.
  • Minimax filtering showed significant advantages over the Kalman filter for RF tracking applications.

Conclusions:

  • Minimax filtering is a robust and effective method for indoor intruder tracking using VLC, especially against evasive targets.
  • The proposed approach offers improved accuracy and resilience compared to traditional Kalman filtering in challenging indoor environments.
  • The findings suggest potential for enhanced security and surveillance systems leveraging VLC and advanced filtering techniques.