Detection, Identification, and Direction of Arrival Estimation of Drone FHSS Signals With Uniform Linear Antenna Array

Kaplan, Batuhan; Kahraman, Ibrahim; Ekti, Ali Rıza; Yarkan, Serhan; Görçin, Ali; Özdemir, Mehmet Kemal; Çırpan, Hakan Ali

doi:10.1109/access.2021.3127199

Cited by 14 publications

(8 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the frequency used by the drone is usually not known, an RF scanner hops between several frequencies and listens to the communication in order to cover all the frequency ranges that a drone and its controller might operate at [54]. The received radio signal by the RF scanner is analyzed to detect features e.g., the vibration effects on the RF signal strength due to drone's propellers.…”

Section: B Rf-based Detectionmentioning

confidence: 99%

On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review

et al. 2022

View full text Add to dashboard Cite

The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect privacy of people from the illegitimate uses of commercial drones, a drone detection system is inevitable. In particular, there is a need for a drone detection system that is efficient, accurate, robust, costeffective and scalable. Recognizing the importance of the problem, several drone detection approaches have been proposed over time. However, none of these provides sufficient performance due to the inherited limitations of the underlying detection technology. More specifically, there are trade-offs among various performance metrics e.g., accuracy, detection range, and robustness against environmental conditions etc. This motivates an in-depth study and critical analysis of the existing approaches, highlighting their potential benefits and limitations. In this paper, we provide a rigorous overview of the existing drone detection techniques and a critical review of the state-of-the-art. Based on the review, we provide key insights on the future drone detection systems. We believe these insights will provide researchers and practicing engineers a holistic view to understand the broader context of the drone detection problem.

show abstract

Section: B Rf-based Detectionmentioning

confidence: 99%

On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…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%

“…Radar signal processing is among the classical approach for aircraft and drone detection as it can be used in all weather conditions with 24/7 operation [18,21,52] as compared to acoustic and visual detection methods. In this approach, the received signal is characterized to detect echo, doppler signature, or radar cross-section (RCS) for detecting and tracking the target [21,28,29,53].…”

Section: Radarmentioning

confidence: 99%

“…These direction measurements and other extracted features are calculated and utilized in the UAV detection system to estimate the geolocation of the UAV. The computed geolocation parameters for the directionfinding methods include angle of arrival (AOA) [40], time of arrival (TOA) [64], direction of arrival (DOA) [18,47], frequency difference of arrival (FDOA) [51], time difference of arrival (TDOA) [11,35], and received signal strength (RSS) [65].…”

Section: Drone Controller Detection and Localizationmentioning

confidence: 99%

“…The precision of the direction-finding function is dependent and affected by the antenna's directivity and gain, drone velocity, scanning velocity, and beam width of the used directional antenna. The reported detection system in [18] employs frequency hopping spread spectrum (FHSS) to detect and locate UAVs and RCs. The cyclostationarity analysis algorithm is used to identify the FHSS-type drone RC signals and differentiate them from other background signals operating in the same frequency band.…”

Section: Drone Controller Detection and Localizationmentioning

confidence: 99%

See 2 more Smart Citations

Drone and Controller Detection and Localization: Trends and Challenges

et al. 2022

View full text Add to dashboard Cite

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.

show abstract