# Securing Your Airspace: Detection of Drones Trespassing Protected Areas

## TL;DR

This paper reviews methods for detecting drones in restricted areas, emphasizing the need for accurate and real-time solutions.

## Contribution

The paper provides a comprehensive analysis of multi-sensor systems for drone detection and identifies their advantages and limitations.

## Key findings

- Multi-sensor systems offer better drone detection performance than single-sensor approaches.
- Radar, acoustic, optical, and RF-based methods each have unique benefits and drawbacks.
- Further research is needed to improve real-time detection accuracy and cost-effectiveness.

## Abstract

Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now used in a wide range of applications, from critical safety-of-life scenarios like nuclear power plant surveillance to entertainment and hobby applications. While the popularity of drones has grown lately, the associated intentional and unintentional security threats require adequate consideration. Thus, there is an urgent need for real-time accurate detection and classification of drones. This article provides an overview of drone detection approaches, highlighting their benefits and limitations. We analyze detection techniques that employ radars, acoustic and optical sensors, and emitted radio frequency (RF) signals. We compare their performance, accuracy, and cost under different operating conditions. We conclude that multi-sensor detection systems offer more compelling results, but further research is required.