Lightweight and Compact Pulse Radar for UAV Platforms for Mid-Air Collision Avoidance

Small and medium Unmanned Aerial Vehicles (UAVs) are commonly equipped with diverse sensors for situational awareness, including cameras, Frequency-Modulated Continuous-Wave (FMCW) radars, Light Detection and Ranging (LiDAR) systems, and ultrasonic sensors. However, optical systems are constrained by adverse weather and darkness, while the limited detection range of compact FMCW radars-typically a few hundred meters-is often insufficient for higher-speed UAVs, particularly those operating Beyond Visual Line of Sight (BVLOS). This paper presents a Collision Avoidance System (CAS) based on a lightweight pulse radar, targeting medium UAV platforms (10-300 kg MTOM) where installing large, nose-mounted radars is impractical. The system is designed for obstacle detection at ranges of 1-3 km, directly addressing the standoff distance limitations of conventional sensors. Beyond its primary sensing function, the pulse architecture offers several operational advantages. Its lower time-averaged power also results in a reduced electromagnetic footprint, mitigating interference and supporting emission-control objectives. Furthermore, pulse radar offers greater robustness against interference in dense electromagnetic environments and lower power consumption, both of which directly enhance UAV operational endurance. Field tests demonstrated a one-to-one correspondence between visually identified objects and radar detections across 1-3 km, with PFA = 1.5%, confirming adequate standoff for tens of seconds of maneuvering time, with range resolution of 3.75 m and average system power below 80 W.

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Publication Details

Journal
Sensors
Published
2025-12-04
DOI
https://doi.org/10.3390/s25237392
Primary Topic
UAV Applications and Optimization
Type
article
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article

Lightweight and Compact Pulse Radar for UAV Platforms for Mid-Air Collision Avoidance

Dawid Sysak, Grzegorz Jaromi, Arkadiusz Byndas, Tomasz Karas
Sensors
UAV Applications and Optimization
article

Lightweight and Compact Pulse Radar for UAV Platforms for Mid-Air Collision Avoidance

Dawid Sysak, Grzegorz Jaromi, Arkadiusz Byndas, Tomasz Karas
article en

Abstract

Small and medium Unmanned Aerial Vehicles (UAVs) are commonly equipped with diverse sensors for situational awareness, including cameras, Frequency-Modulated Continuous-Wave (FMCW) radars, Light Detection and Ranging (LiDAR) systems, and ultrasonic sensors. However, optical systems are constrained by adverse weather and darkness, while the limited detection range of compact FMCW radars-typically a few hundred meters-is often insufficient for higher-speed UAVs, particularly those operating Beyond Visual Line of Sight (BVLOS). This paper presents a Collision Avoidance System (CAS) based on a lightweight pulse radar, targeting medium UAV platforms (10-300 kg MTOM) where installing large, nose-mounted radars is impractical. The system is designed for obstacle detection at ranges of 1-3 km, directly addressing the standoff distance limitations of conventional sensors. Beyond its primary sensing function, the pulse architecture offers several operational advantages. Its lower time-averaged power also results in a reduced electromagnetic footprint, mitigating interference and supporting emission-control objectives. Furthermore, pulse radar offers greater robustness against interference in dense electromagnetic environments and lower power consumption, both of which directly enhance UAV operational endurance. Field tests demonstrated a one-to-one correspondence between visually identified objects and radar detections across 1-3 km, with PFA = 1.5%, confirming adequate standoff for tens of seconds of maneuvering time, with range resolution of 3.75 m and average system power below 80 W.

SensorsVol. 25(23)
Wrocław University of Science and Technology (PL), Eurotech (Poland) (PL), AGH University of Krakow (PL)
Openalex Percentile: Top 49%
UAV Applications and Optimization
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Lightweight and Compact Pulse Radar for UAV Platforms for Mid-Air Collision Avoidance — Dawid Sysak, Grzegorz Jaromi, et al. · Sensors (2025) | TGRS Research Map | TGRS