A Survey on Detection, Classification, and Tracking of UAVs using Radar and Communications Systems
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 8 Feb 2024.
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Citing papers per year: 2026: 5.
5 papers.
- 2026UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Modelscited by 4
- 2026CosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV Trackingcited by 1
- 2026Cognitive Fusion of ZC Sequences and Time-Frequency Images for Out-of-Distribution Detection of Drone Signalscited by 0
- 2026CoBA: Integrated Deep Learning Model for Reliable Low-Altitude UAV Classification in mmWave Radio Networkscited by 0
- 2026SkyEV: RGB-Event UAV detection and tracking dataset and baselinecited by 0
- 2026SkyEV: RGB-Event UAV detection and tracking dataset and baseline21 Jul 2026
- 2026CosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV Tracking16 Jul 2026
- 2026UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models2 Apr 2026
- 2026CoBA: Integrated Deep Learning Model for Reliable Low-Altitude UAV Classification in mmWave Radio Networks28 Jan 2026
- 2026Cognitive Fusion of ZC Sequences and Time-Frequency Images for Out-of-Distribution Detection of Drone Signals26 Jan 2026