Detecting and Tracking a Small UAV in GSM Passive Radar Using Track-before-Detect

Knoedler, Benjamin; Steffes, Christian; Koch, Wolfgang

doi:10.1109/radarconf2043947.2020.9266673

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…In literature, passive radars are used to detect small UAVs. In [120], a passive Global System for Mobile Communication (GSM) radar is used to collect weak reflections from a UAV. A trackbefore-detection approach in [120] helps in better detection and tracking of small UAVs in a passive mode.…”

Section: A Detection Using Radar Systemsmentioning

confidence: 99%

“…In [120], a passive Global System for Mobile Communication (GSM) radar is used to collect weak reflections from a UAV. A trackbefore-detection approach in [120] helps in better detection and tracking of small UAVs in a passive mode. Experiments are conducted in [120] to detect and track a quadcopter using passive GSM radar achieving a high detection rate.…”

Section: A Detection Using Radar Systemsmentioning

confidence: 99%

“…A trackbefore-detection approach in [120] helps in better detection and tracking of small UAVs in a passive mode. Experiments are conducted in [120] to detect and track a quadcopter using passive GSM radar achieving a high detection rate. To combine the advantages of both active and passive radars, a hybrid radar system can also be used [121].…”

Section: A Detection Using Radar Systemsmentioning

confidence: 99%

“…Table XIV summarises these radar systems. In [120], a GSM radar in passive mode is used to collect weak reflections from a UAV.…”

Section: Radars Aided By Communication Systemsmentioning

confidence: 99%

“…A GSM radar in passive mode is used to collect weak reflections from a UAV. Phased arrays used for 5G communications are used for detecting small aerial vehicles [120], [248], [249],…”

Section: Gsm/5g Radarmentioning

confidence: 99%

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A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats

Khawaja¹

2022

Preprint

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<p> The use of unmanned aerial vehicles (UAVs) for different applications has increased many folds in recent years. The UAVs are expected to change the future air operations. However, there are instances where the UAVs can be used for malicious purposes. The detection, tracking, and classification of UAVs is challenging compared to manned aerial vehicles (MAVs) mainly due to small size, complex shapes, and ability to fly close to the terrain and in autonomous flight patterns in swarms. In this survey, we will discuss current and future aerial threats, and provide an overview of radar systems to counter such threats. We also study the performance parameters of radar systems for the detection, tracking, and classification of UAVs compared to MAVs. Finally, limitations of radar systems and comparison with other techniques that do not rely on radars for detection, tracking, and classification of aerial threats are also provided. </p>

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Section: A Detection Using Radar Systemsmentioning

confidence: 99%

Section: A Detection Using Radar Systemsmentioning

confidence: 99%

Section: A Detection Using Radar Systemsmentioning

confidence: 99%

“…Table XIV summarises these radar systems. In [120], a GSM radar in passive mode is used to collect weak reflections from a UAV.…”

Section: Radars Aided By Communication Systemsmentioning

confidence: 99%

“…A GSM radar in passive mode is used to collect weak reflections from a UAV. Phased arrays used for 5G communications are used for detecting small aerial vehicles [120], [248], [249],…”

Section: Gsm/5g Radarmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Radar Techniques for Detection,Tracking, and Classification of Aerial Threats

Khawaja¹

2022

Preprint

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A novel multi‐target TBD scheme for GNSS‐based passive bistatic radar

Tang,

Wang,

Zhao

et al. 2024

IET Radar Sonar & Navi

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Global Navigation Satellite System (GNSS)‐based passive bistatic radar (PBR) systems hold promise for use as low‐altitude surveillance mechanisms in critical urban and suburban zones, attributed to their low power consumption, good concealment, and worldwide reach. However, the increasing demand for airspace regulation presents challenges for multi‐target tracking. Additionally, the limited power budget of GNSS signals results in low target SNR, restricting the detection range. Hence, a novel multi‐target track‐before‐detect (TBD) scheme is proposed. This strategy employs a dual‐channel coarse focusing (DCCF)‐based cluster centroid extraction algorithm to identify potential target information in the range Doppler (RD) domain. Subsequently, a modified cardinalised probability hypothesis density (MCPHD) filter is utilised, enhanced with a birth target intensity estimation module assisted by Doppler and a trajectory management module, to accurately track multiple targets under conditions of low SNR. Simulation results and performance analysis using the Optimal Sub‐pattern Assignment (OSPA) metric confirm the effectiveness of our approach. Furthermore, in a real‐world experiment using the GPS L5 signal as an illuminator, the authors successfully processed experimental data to track a civil aircraft over 10 frames, demonstrating the practical applicability of the proposed method in GNSS‐based PBR systems.

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