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Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems.

Jae-Min Shin1, Yu-Sin Kim1, Tae-Won Ban1

  • 1Department of Information and Communications Engineering, Gyeongsang National University, Tongyeong 53064, Korea.

Sensors (Basel, Switzerland)
|December 30, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a drone tracking system using multiple Bluetooth low energy (BLE) receivers to manage unauthorized drones. The system enhances tracking accuracy by estimating drone location and utilizing past movement data.

Keywords:
drone position trackingmultiple Bluetooth receiverstracking algorithm

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Area of Science:

  • Aerospace Engineering
  • Electrical Engineering
  • Computer Science

Background:

  • Increasing drone usage necessitates robust traffic management and detection systems.
  • Unauthorized drone activity poses security challenges requiring effective monitoring solutions.
  • Existing drone detection methods may lack the precision or cost-effectiveness for widespread deployment.

Discussion:

  • The proposed system utilizes multiple Bluetooth low energy (BLE) receivers to triangulate drone positions.
  • Received Signal Strength Indication (RSSI) from BLE signals is analyzed to estimate distance and angle.
  • Two distinct tracking algorithms are presented, incorporating a memory process for improved performance.

Key Insights:

  • The system effectively estimates drone location (distance and angle) using RSSI data from four BLE receivers.
  • Incorporating a memory process significantly enhances tracking accuracy by leveraging historical movement data.
  • Performance is validated through metrics like the average number of movements for tracking and overall tracking success rate.

Outlook:

  • This technology can be foundational for future Unmanned Aircraft System (UAS) traffic management (UTM) systems.
  • Further research could explore integration with other sensor technologies for enhanced redundancy and accuracy.
  • Scalability and real-world deployment challenges for large-scale drone traffic monitoring warrant further investigation.