Method for UAV trajectory parameters estimation using additional radar data

Kozlovskyy, V.; Parkhomey, Igor; Одарченко, Роман; Gnatyuk, Sergiy; Жмурко, Тетяна Олександрівна

doi:10.1109/msnmc.2016.7783101

“…Multi‐layer classification procedures are a robust measure for ensuring the validity of a final decision within a network [15, 52, 63]. This could be employed over a multitude of domains such as the cepstrogram, spectrogram, range time or even through track temporal evolution [30, 71]. In addition, during training a bespoke cost function could be implemented to oversee and encapsulate the overall classification process across multiple unique classifiers, potentially indicating locations of performance bottlenecks.…”

Section: Discussionmentioning

confidence: 99%

Review of radar classification and RCS characterisation techniques for small UAVs or drones

Patel

¹

,

Fioranelli

²

,

Anderson

³

2018

IET Radar, Sonar & Navigation

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This review explores radar based techniques currently utilised in literature to monitor small UAVs or drones; several challenges have arisen due to their rapid emergence and commercialisation within the mass market. The potential security threats posed by these systems are collectively presented and the legal issues surrounding their successful integration is briefly outlined. Key difficulties involved in the identification and hence tracking of these 'radar elusive' systems are discussed, along with how research efforts relating to drone detection, classification and RCS characterisation are being directed in order to address this emerging challenge. Such methods are thoroughly analysed and critiqued; finally, an overall picture of the field in its current state is painted, alongside scope for future work over a broad spectrum.

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“…In [170], radar data is used to estimate the UAV trajectory parameters. Bayesian filters are used for UAV trajectory estimation and tracking in [171].…”

Section: Acoustic Antenna and Microphonesmentioning

confidence: 99%

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>

show abstract

“…In [170], radar data is used to estimate the UAV trajectory parameters. Bayesian filters are used for UAV trajectory estimation and tracking in [171].…”

Section: Acoustic Antenna and Microphonesmentioning

confidence: 99%

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

Khawaja¹

2022

Preprint

2

0

View full text Add to dashboard Cite

<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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Method for UAV trajectory parameters estimation using additional radar data

Cited by 8 publications

References 3 publications

Review of radar classification and RCS characterisation techniques for small UAVs or drones

Review of radar classification and RCS characterisation techniques for small UAVs or drones

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

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

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