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Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution.

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The increasing number of drones necessitates effective detection and defense systems. This survey reviews various drone detection methods, focusing on radio frequency (RF) systems using software-defined radio (SDR) platforms.

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Area of Science:

  • Engineering
  • Computer Science
  • Security Studies

Background:

  • The proliferation of low-cost drones presents significant security challenges.
  • There is a growing need for robust drone detection and mitigation systems.

Purpose of the Study:

  • To conduct a systematic review of existing drone detection and defense systems.
  • To emphasize radio frequency (RF)-based systems utilizing software-defined radio (SDR) platforms.
  • To present the DronEnd system as a novel RF-based SDR solution.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Categorization of detection methods including RF, acoustic, optical, and radar.
  • Implementation and description of the DronEnd system using SDR hardware.

Main Results:

  • Comprehensive overview of current drone detection and defense technologies.
  • Detailed analysis of RF-based systems and their effectiveness.
  • Demonstration of a practical RF-based drone detection system (DronEnd).

Conclusions:

  • The study highlights the importance of advanced drone detection and defense mechanisms.
  • RF-based systems with SDR platforms offer a promising approach for drone threat mitigation.
  • The DronEnd system provides a viable solution for addressing drone security concerns.