RCS measurements and ISAR images of small UAVs

Pieraccini, Massimiliano; Miccinesi, Lapo; Rojhani, Neda

doi:10.1109/maes.2017.160167

Cited by 60 publications

(45 citation statements)

References 5 publications

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“…Radar can appear the technology of choice for detecting them, but standard air defense is ill prepared for UAV detection: the radar cross section of a small UAV can be smaller then 0.03m 2 [3], they are low-velocity aircrafts flying in a high-clutter environment.…”

Section: Introductionmentioning

confidence: 99%

CWSF radar for detecting small UAVs

Pieraccini

Miccinesi

2017

2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)

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Section: Introductionmentioning

confidence: 99%

CWSF radar for detecting small UAVs

Pieraccini

Miccinesi

2017

2017 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)

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“…The authors showed that the RCS values of the entire UAV from measurements agreed with that from simulation, and their floating range is in −40 to −10 dBsm [17]. The measured main value of the RCS of a SYMA quadcopter was −15 dBsm at X-band, and the main RCS of a Airvision quadcopter was −5.6 dBsm [38]. Farlik et al brought results of the series of RCS values with a DJI Phantom 2 Vision at X-band [39].…”

Section: Resultsmentioning

confidence: 82%

Interference of Radar Detection of Drones by Birds

Gong¹,

Yan²,

Li³

et al. 2019

PIER M

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Recently, consumer drones have encroached upon airports and pose a potential threat to aviation safety. Radar is an effective remote sensing tool to detect and track flying drones. Radar echoes from flying birds are assumed to be clutters when a radar is detecting drones. Yet, few studies have reported how radar echoes from flying birds interfere with the detection of drones, how similar radar cross section (RCS) and flight feature of birds and drones are, and why the flying birds cause trouble when radar identifies signals from the drone. In this study, we collected 3900 × 256 of Ku-band radar echoes of flying birds and consumer drones. The targets consist of a pigeon, a crane, waterfowl, and a DJI Phantom 3 Vision drone. We compared the maximum detectable range of birds and drones, the time series and the Doppler spectrum of radar echoes from the birds and the drone, considering oncoming and outgoing radar data with respect to radar location. The statistical results indicate that flying birds have similar RCS, same velocity range, similar signal fluctuation, and approximate signal amplitude. Our results of radar automatic target recognition (ATR) illuminate that the identification probability of airborne drones will be lower due to the interference of the radar signal by flying birds. Above all, these facts confirm that flying birds are the main cause of interference when a radar is detecting and identifying airborne drones.

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“…Radar is one of the technologies that can detect drones [3][4][5][6][7]. The radar cross section (RCS) of a radar target is an important factor related with the radar performance such as detection, tracking, and classification.…”

Section: Introductionmentioning

confidence: 99%

“…When dealing with radar system design, it is necessary to know the RCS of each target. There have been several studies on RCSs of drones [3][4][5]. In [3], the RCS patterns of two types of drones (SYMA, Air Vision) have been measured in the frequency of 8-12 GHz.…”

Section: Introductionmentioning

confidence: 99%

RCS measurements of various drones at 24 GHz

2020

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Radar is one of the technologies that can detect drones. We have previously proposed to use an ultra-wideband (UWB) radar, which uses quasi-millimeter wave band (24/26 GHz) or millimeter wave band (60/79 GHz), for drone detection. The radar cross section (RCS) of a radar target is an important factor related with the radar performance such as detection, tracking, and classification. This paper experimentally investigates the RCS patterns of five types of drones with different shapes, sizes, and the number of rotor blades (Phantom 3, Bebop Drone, 3DR Solo, Mavic Pro, and Matrice 600). RCS measurements were conducted at 24 GHz for two polarizations, H-H and V-V. As a result, we have confirmed that the mean RCS values of the drones vary from −8.1 dBsm to −19.1 dBsm depending on body size, shape, and polarization.

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RCS measurements and ISAR images of small UAVs

Cited by 60 publications

References 5 publications

CWSF radar for detecting small UAVs

CWSF radar for detecting small UAVs

Interference of Radar Detection of Drones by Birds

RCS measurements of various drones at 24 GHz

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