Small Phased Array Radar Based on AD9361 For UAV Detection

Tang, Liming; Wang, Hao; Zhao, Feng; Xu, Dalong; Wang, Yan; Quan, Shuanglong; Xu, Wei

doi:10.1109/imbioc.2019.8777786

Cited by 5 publications

(6 citation statements)

References 6 publications

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“…UAV Architecture and Security Concerns [3][4][5][6][7][8] UAE Detection Technologies RF [7][8][9][10][11][12][13][14][15][16][17][18][19][20] Radar [21][22][23][24][25][26][27][28][29]] Acoustic [30][31][32][33][34][35][36][37][38][39][40] Electro-optical [41][42][43][44][45][46] Hybrid fusion [40,41,47,48] Controller Detection and Localization [12,1...…”

Section: Detection Technologiesmentioning

confidence: 99%

“…RF-based techniques analyze the captured spectrum between the UAV and operators using circular or linear array antennas to detect both the drone and its controller in all-weather environments. As most of the communication between a drone and its controller occurs in the ISM band, around 2.4 GHz, the implementation cost of such a system is much lower compared to a radar-based solution [21][22][23][24][25][26][27][28]51].…”

Section: Rf-basedmentioning

confidence: 99%

“…Due to the smaller size of most UAVs, wideband, high frequency, expensive radars are required for the accurate detection and tracking of mini UAVs [23,24,52,54], which increases the overall cost of the detection and localization system. The studies of [24,25,28,54,57,58] employed the principal component analysis (PCA) [24], convolutional neural networks (CNN) [23,28,51,54], long short-term memory (LSTM) [28], and support vector machines (SVM) [57,58] techniques for the processing of extracted features from radar signals such as micro-doppler spectrogram [23,28,54,57,58] and rangedoppler signature [24] for the classification of drones. Recently authors in [13] used the hierarchical learning approach for the detection of the presence, type, and flight trajectory of a UAV.…”

Section: Radarmentioning

confidence: 99%

“…Recently authors in [13] used the hierarchical learning approach for the detection of the presence, type, and flight trajectory of a UAV. Due to the smaller size of most UAVs, wideband, high frequency, expensive radars are required for the accurate detection and tracking of mini UAVs [23,24,52,54], which increases the overall cost of the detection and localization system.…”

Section: Radarmentioning

confidence: 99%

See 3 more Smart Citations

Drone and Controller Detection and Localization: Trends and Challenges

et al. 2022

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Unmanned aerial vehicles (UAVs) have emerged as a rapidly growing technology seeing unprecedented adoption in various application sectors due to their viability and low cost. However, UAVs have also been used to perform illegal and malicious actions, which have recently increased. This creates a need for technologies capable of detecting, classifying, and deactivating malicious and unauthorized drones. This paper reviews the trends and challenges of the most recent UAV detection methods, i.e., radio frequency-based (RF), radar, acoustic, and electro-optical, and localization methods. Our research covers different kinds of drones with a major focus on multirotors. The paper also highlights the features and limitations of the UAV detection systems and briefly surveys the UAV remote controller detection methods.

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Section: Detection Technologiesmentioning

confidence: 99%

Section: Rf-basedmentioning

confidence: 99%

Section: Radarmentioning

confidence: 99%

Section: Radarmentioning

confidence: 99%

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Drone and Controller Detection and Localization: Trends and Challenges

et al. 2022

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“…The mechanical scanning strategy is adopted in the azimuth plane, while the electronic scanning strategy is used in the elevation plane for detection and tracking of UAVs. In [137], a phased array X-band radar based on AD9361 is used. The X-band small phased array radar is capable of detecting small UAVs of RCS 0.01 at azimuth range and height of 5 km and 250 m, respectively, in urban environments.…”

Section: Detection Using Mechanically and Electronically Scanned Plat...mentioning

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>

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Design and implementation of high-precision synchronized wireless

Qi,

Wu,

et al. 2024

2024 4th International Conference on Neural Networks, Information and Communication (NNICE)

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Small Phased Array Radar Based on AD9361 For UAV Detection

Cited by 5 publications

References 6 publications

Drone and Controller Detection and Localization: Trends and Challenges

Drone and Controller Detection and Localization: Trends and Challenges

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

Design and implementation of high-precision synchronized wireless

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