Detection of small UAS with W-band radar

Caris, M.; Johannes, Winfried; Sieger, Stefan; Port, V.; Stanko, Stephan

doi:10.23919/irs.2017.8008143

Cited by 46 publications

(25 citation statements)

References 3 publications

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“…For accurate and quick detection/tracking of UASs, data fusion techniques that may simultaneously use information from multiple different types of sensors can be used: in [23] joint use of a 94 GHz mmWave radar and a high resolution optical camera is considered [12] V. CONCLUSIONS W band radars cam make substantial contributions to avoid the growing threats from the UAVs, however further improvements are needed for an operational UAS-detection radar system in the W band. [10] This article summarizes a study regarding the detection of UAVs using different radars with different frequency bands and different UAV detection methods. The work presented in this paper can definitely help future researchers have an overview in this study.…”

Section: Uav Detectionmentioning

confidence: 99%

Drone Detection

Mîndroiu¹,

Mototolea²

2019

J.Mil.Technol.

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Section: Uav Detectionmentioning

confidence: 99%

Drone Detection

Mîndroiu¹,

Mototolea²

2019

J.Mil.Technol.

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“…5. Another millimetric wave radar was presented in [24]. Here, the authors used a W-band radar for detection of small UASs.…”

Section: B Radar Based Techniquesmentioning

confidence: 99%

A Study on the Methods and Technologies Used for Detection, Localization, and Tracking of LSS UASs

Mototolea¹

2018

J.Mil.Technol.

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“…[5], [8]- [12]), in which authors study the RCS signatures of drones at different frequencies, show the relevance and impact of this topic. For example, in [8], the authors present measurement results of the DJI Phantom drone using a 94 GHz radar system. In [9], the RCS of two consumer drone models are presented in the 5.8 to 8.2 GHz frequency range.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

et al. 2020

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In this work, we present quasi-monostatic Radar Cross Section measurements of different Unmanned Aerial Vehicles at 26-40 GHz. We study the Radar Cross Section signatures of nine different multi-rotor platforms as well as a single Lithium-ion Polymer battery. These results are useful in the design and testing of radar systems which employ millimeter-wave frequencies for superior drone detection. The data shows how radio waves are scattered by drones of various sizes and what impact the primary construction material has on the received Radar Cross Section signatures. Matching our intuition, the measurements confirm that larger drones made of carbon fiber are easier to detect, whereas drones made from plastic and styrofoam materials are less visible to the radar systems. The measurement results are published as an open database, creating an invaluable reference for engineers working on drone detection. INDEX TERMS Drone detection, millimeter-wave, radar cross section, unmanned aerial vehicle.

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Detection of small UAS with W-band radar

Cited by 46 publications

References 3 publications

Drone Detection

Drone Detection

A Study on the Methods and Technologies Used for Detection, Localization, and Tracking of LSS UASs

Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

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