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Related Experiment Video

Updated: Dec 4, 2025

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

New Approach of UAV Movement Detection and Characterization Using Advanced Signal Processing Methods Based on UWB

Angela Digulescu^1,2, Cristina Despina-Stoian^1,3, Denis Stănescu^1,2

¹Telecommunications and Information Technology Department, Military Technical Academy "Ferdinand I", 050141 Bucharest, Romania.

Sensors (Basel, Switzerland)

|October 22, 2020

Summary

This study introduces an ultra-wide band (UWB) sensing system for detecting and characterizing drone movements. The advanced signal processing methods offer improved accuracy for drone intrusion detection systems.

Keywords:

LSS UAV RPA UWB sensing drone movement map signal processing

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Area of Science:

Electrical Engineering
Signal Processing
Sensor Technology

Background:

The commercial unmanned aerial vehicles (UAVs) market is rapidly expanding due to advanced technology, affordability, and user-friendliness.
The increasing prevalence of drones poses security challenges in sensitive areas, highlighted by a rise in incidents.
Existing detection methods may not adequately address the complexities of drone movement characterization.

Purpose of the Study:

To develop and evaluate a novel approach for detecting and characterizing drone movement using ultra-wide band (UWB) sensing.
To assess the effectiveness of advanced signal processing techniques, including recurrence plot analysis, for drone detection.
To provide a foundation for enhanced drone intrusion detection systems.

Main Methods:

Utilizing an ultra-wide band (UWB) sensing system for drone monitoring.
Applying classical signal processing techniques: correlation, envelope detection, and time-scale analysis.
Implementing a novel recurrence plot analysis for movement characterization.

Main Results:

The proposed UWB sensing approach effectively characterizes drone movement.
Recurrence plot analysis demonstrates potential for accurate drone movement mapping.
Comparison of methods highlights trade-offs in accuracy and computational time.

Conclusions:

The UWB sensing system combined with advanced signal processing offers a promising solution for drone detection.
Recurrence plot analysis provides valuable insights into drone movement patterns.
This research serves as a basis for developing more robust drone intrusion detection systems.