LTE‐based multistatic passive radar system for UAV detection

Geng, Zhe; Xu, Renhui; Deng, Hai

doi:10.1049/iet-rsn.2019.0452

Cited by 16 publications

(9 citation statements)

References 34 publications

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“…Moreover, FM radio and DVB-T based PBR systems were also considered for airborne radars due to their small size, light structure, low power consumption, and stealth operation abilities [10]. On the other hand, for short-range passive radar sensing applications, WiFi and cellular network signals have also been considered [11,12,13]. In a PBR system, in addition to the surveillance signals reflected off the targets, the reference signal from the noncooperative transmitter needs to be acquired for radar signal processing via a directional reference antenna which is directed towards the non-cooperative transmitter.…”

Section: Introductionmentioning

confidence: 99%

Waveform Selection For Multi-Band Multistatic Radar Networks

Temiz¹

2022

Preprint

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This study investigates the benefits of waveform selection by exploiting multiple illuminators of opportunity (IO) in hybrid radar systems consisting of multi-band receivers which can utilise active radar transmitters and broadcasting signals for bistatic radar sensing. As a performance metric, Cramér-Rao lower bounds (CRLBs) on velocity and range estimations are considered. Considering that TV and radio broadcasting stations usually emit high power signals, they are suitable for passive sensing as IOs. Therefore, FM radio, Digital Video Broadcasting-Terrestrial (DVB-T) and Digital Audio Broadcasting (DAB) transmitters are considered for passive radar operations while also having an active radar transmitter in the multistatic radar network. Multistatic radar networks comprising receivers, transmitter and IOs transmitting the aforementioned waveforms are modelled and optimum selection of bistatic pairs are studied based on CRLBs on range and velocity estimations. Two different multistatic radar network scenarios are simulated and the results are evaluated to analyse the estimation accuracy of active and passive bistatic pairs in the network. The results show that multi-band multistatic radar network provides better range and velocity estimations and may also mitigate the adverse effects of jamming by exploiting broadcasting waveforms compared to a radar network which only considers radar transmitters for sensing.

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Section: Introductionmentioning

confidence: 99%

Waveform Selection For Multi-Band Multistatic Radar Networks

Temiz¹

2022

Preprint

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“…erefore, monitoring UAVs in specific areas is an urgent need for security. Due to the small volume and low speed of UAV, it is difficult to detect UAV by using traditional radar equipment [3]. In addition, the noise of the city is noisy, so it is difficult to detect UAVs by acoustic sensors [4].…”

Section: Introductionmentioning

confidence: 99%

Target Detection of Low-Altitude UAV Based on Improved YOLOv3 Network

Zhai

Zhang

2022

Journal of Robotics

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Most existing methods are difficult to detect low-altitude and fast-moving drones. A low-altitude unmanned aerial vehicle (UAV) target detection method based on an improved YOLOv3 network is proposed. While keeping the basic framework of the original model unchanged, the YOLOv3 model is improved. That is, multiscale prediction is added to enhance the detection ability of small-target objects. In addition, the two-axis Pan/Tilt/Zoom (PTZ) camera is controlled based on proportional integral derivative (PID), so that the target tends to the center of the field of view. It is more conducive to accurate detection. Finally, experiments are carried out using real UAV datasets. The results show that the mean average precision (mAP), AP50, and AP75 are 25.12%, 39.75%, and 26.03%, respectively, which are better than other methods. Also, the frame rate is 21 frames·s−1, which meets the performance requirements.

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“…PBR usually uses a reference signal with stable radiation power, such as broadcast and cellular communication, to realize habitus monitoring, the capability of which has been shown to have many different terrestrial illuminators [8][9][10][11][12][13][14]. In practical usage, due to similar reasons as for active radar, the power density of electromagnetic radiation is limited in many cases [15,16], and thus, the system capability might be affected by the availability of appropriate illuminators.…”

Section: Introductionmentioning

confidence: 99%

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

Miao

Bao

et al. 2021

Remote Sensing

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The increasing accessibility of unmanned aerial vehicles (UAVs) drives the demand for reliable, easy-to-deploy surveillance systems to consolidate public security. This paper employs passive bistatic radar (PBR) based on a digital audio broadcast (DAB) satellite for UAV monitoring in applications with power density limitations on electromagnetic radiation. An advanced version of the extensive cancellation algorithm (ECA) based on data segmentation and coefficients filtering is designed to improve the efficiency of multipath clutter suppression while retaining robustness, for which the effectiveness is verified by theoretical derivation and simulation. The detectability of small UAVs with DAB satellite-based PBR is validated with experimental results, with which the influence of target altitude and bistatic geometry are also analyzed.

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LTE‐based multistatic passive radar system for UAV detection

Cited by 16 publications

References 34 publications

Waveform Selection For Multi-Band Multistatic Radar Networks

Waveform Selection For Multi-Band Multistatic Radar Networks

Target Detection of Low-Altitude UAV Based on Improved YOLOv3 Network

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR

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