Introduction to Drone Detection Radar with Emphasis on Automatic Target Recognition (ATR) technology

TL;DR

This paper explores integrating automatic target recognition (ATR) into drone detection radar systems to enhance detection, tracking, and threat management of small drones, emphasizing signal signatures and cognitive radar solutions.

Contribution

It introduces a comprehensive radar system design with ATR integration, improving detection performance and situational awareness for small drone threats.

Findings

Enhanced detection accuracy with ATR integration

Performance improvements using feedback and situational awareness

Potential of cognitive radar for small drone detection

Abstract

This paper discusses the challenges of detecting and categorizing small drones with radar automatic target recognition (ATR) technology. The authors suggest integrating ATR capabilities into drone detection radar systems to improve performance and manage emerging threats. The study focuses primarily on drones in Group 1 and 2. The paper highlights the need to consider kinetic features and signal signatures, such as micro-Doppler, in ATR techniques to efficiently recognize small drones. The authors also present a comprehensive drone detection radar system design that balances detection and tracking requirements, incorporating parameter adjustment based on scattering region theory. They offer an example of a performance improvement achieved using feedback and situational awareness mechanisms with the integrated ATR capabilities. Furthermore, the paper examines challenges related to one-way attack drones and explores the potential of cognitive radar as a solution. The integration of ATR capabilities transforms a 3D radar system into a 4D radar system, resulting in improved drone detection performance. These advancements are useful in military, civilian, and commercial applications, and ongoing research and development efforts are essential to keep radar systems effective and ready to detect, track, and respond to emerging threats.