A Survey on Detection, Classification, and Tracking of AAVs Using Radar and Communications Systems

The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While UAVs are expected to transform future air operations, there are instances where they can be used for malicious purposes. In this context, the detection, classification, and tracking (DCT) of UAVs (DCT-U) for safety and surveillance of national air space is a challenging task when compared to DCT of manned aerial vehicles. In this survey, we discuss the threats and challenges from malicious UAVs and we subsequently study three radio frequency (RF)-based systems for DCT-U. These RF-based systems include radars, communication systems, and RF analyzers. Radar systems are further divided into conventional and modern radar systems, while communication systems can be used for joint communications and sensing (JC&S) in active mode and act as a source of illumination to passive radars for DCT-U. The limitations of the three RF-based systems are also provided. The survey briefly discusses non-RF systems for DCT-U and their limitations. Future directions based on the lessons learned are provided at the end of the survey.

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Publication Details

Journal
IEEE Communications Surveys & Tutorials
Published
2025-03-26
DOI
https://doi.org/10.1109/comst.2025.3554613
Citations
12
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
59.92
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article

A Survey on Detection, Classification, and Tracking of AAVs Using Radar and Communications Systems

İsmail Güvenç, Wahab Khawaja, Martins Ezuma, Vasilii Semkin et al.
12 citations
IEEE Communications Surveys & Tutorials
UAV Applications and Optimization
59.92
article

A Survey on Detection, Classification, and Tracking of AAVs Using Radar and Communications Systems

İsmail Güvenç, Wahab Khawaja, Martins Ezuma, Vasilii Semkin, Fatih Erden, Özgür Özdemir
article en
12 citations

Abstract

The use of unmanned aerial vehicles (UAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While UAVs are expected to transform future air operations, there are instances where they can be used for malicious purposes. In this context, the detection, classification, and tracking (DCT) of UAVs (DCT-U) for safety and surveillance of national air space is a challenging task when compared to DCT of manned aerial vehicles. In this survey, we discuss the threats and challenges from malicious UAVs and we subsequently study three radio frequency (RF)-based systems for DCT-U. These RF-based systems include radars, communication systems, and RF analyzers. Radar systems are further divided into conventional and modern radar systems, while communication systems can be used for joint communications and sensing (JC&S) in active mode and act as a source of illumination to passive radars for DCT-U. The limitations of the three RF-based systems are also provided. The survey briefly discusses non-RF systems for DCT-U and their limitations. Future directions based on the lessons learned are provided at the end of the survey.

IEEE Communications Surveys & TutorialsVol. 28
North Carolina State University (US), Aarhus University (DK), Tieto (Finland) (FI), VTT Technical Research Centre of Finland (FI)
Affordable and clean energy
Openalex Percentile: Top 0%
UAV Applications and Optimization
59.92
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