Sense and Avoid Radar Flight Tests

Klarer, Dietmar; Domann, Axel; Zekel, Matthias; Schuster, Thomas; Mayer, H.; Hennig, Jens

doi:10.23919/irs48640.2020.9253744

2020 21st International Radar Symposium (IRS) 2020

DOI: 10.23919/irs48640.2020.9253744

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Sense and Avoid Radar Flight Tests

Dietmar Klarer

Axel Domann

Matthias Zekel

et al.

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2022

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“…While radar sensor has been explored for SAA system, they are overwhelmingly dedicated for to medium and largesized drones [14]- [16]. To date, research efforts in radar-based SAA system to detect very small drones (weight < 2 kilograms) is still few.…”

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confidence: 99%

An Evaluation of Cots-Based Radar for Very Small Drone Sense and Avoid Application

Shariff

Zainuddin

Rashid

et al. 2022

IJIE

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The use of very small unmanned aerial vehicles (UAVs) are increasingly common these days but its applications are limited to the pilot line-of-sight view. To extend its use beyond the pilot view, UAVs need to be equipped sense and avoid (SAA) system to avoid potential collisions. However, the development of SAA for very small drones is still in the infancy stage mainly due to the high cost of design and development for reliable range sensors. Recent developments of very small size and lightweight commercial off-the-shelf (COTS)-based radar systems may become a crucial element in very small drone applications. These types of radars are primarily developed for industrial sensing but can be adapted for applications such SAA. Thus, this paper contributes to the survey of a miniature and lightweight radar sensor to assist the SAA development. The focus of this paper is to analyse the eligibility of a COTS-based radar in detecting very small drones. For this purpose, we used a frequency-modulated continuous radar (FMCW) developed by Infineon Technologies. Field test results show the real-time capability of the radar sensor to detect the very small drones within ± 0.5 meters in static and dynamic conditions.

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mentioning

confidence: 99%

An Evaluation of Cots-Based Radar for Very Small Drone Sense and Avoid Application

Shariff

Zainuddin

Rashid

et al. 2022

IJIE

View full text Add to dashboard Cite

show abstract

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Sense and Avoid Radar Flight Tests

Cited by 1 publication

References 4 publications

An Evaluation of Cots-Based Radar for Very Small Drone Sense and Avoid Application

An Evaluation of Cots-Based Radar for Very Small Drone Sense and Avoid Application

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