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

dc.contributor.authorKaplan, Batuhan
dc.contributor.authorKahraman, Ibrahim
dc.contributor.authorEkti, Ali Riza
dc.contributor.authorYarkan, Serhan
dc.contributor.authorGorcin, Ali
dc.contributor.authorOzdemir, Mehmet Kemal
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2026-06-27T14:35:01Z
dc.date.issued2021
dc.description.abstractSafety, security, and privacy are three critical concerns affiliated with the use of drones in everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone activities in the vicinity becomes an important surveillance item. Therefore, keeping track of drones and preferably their controllers should be included into the already-existing security measures. In this study, a frequency hopping spread spectrum (FHSS) type drone controller signal detection and emitter direction finding framework is proposed to achieve aforementioned goals. Since drone communications signals generally coexist with other FHSS signals in 2.4 GHz industrial, scientific, and medical (ISM) band, first, a method based on cyclostationarity analysis is proposed to distinguish the drone radio controller signals from other signals utilizing 2.4 GHz ISM band. Then, a variant of short-term Fourier transform is introduced to extract the parameters of detected drone remote controller signals. The correct hopping signals are then aggregated based on the clustered parameters to obtain their combined baseband equivalent signal. Furthermore, the resampling process is applied to reduce the unrelated samples in the spectrum and represent the spectrum with the reconstructed signal, which has a much lower bandwidth than the spread bandwidth. Finally, two different multiple signal classification algorithms are utilized to estimate the direction of the drone controller relative to the receiving system. In order to validate the overall performance of the proposed method, the introduced framework is implemented on hardware platforms and tested under real-world conditions. A uniform linear antenna array is utilized to capture over-the-air signals in hilly terrain suburban environments by considering both line-of-sight and non-line-of-sight cases. Direction estimation performance is presented in a comparative manner and relevant discussions are provided.en
dc.description.sponsorshipEuropean Commission Horizon 2020 Research and Innovation Program ADACORSA [876019]
dc.description.sponsorshipQatar National Research Fund (Qatar Foundation) [NPRP12S-0225-190152]
dc.description.urihttps://doi.org/10.1109/access.2021.3127199
dc.identifier.doi10.1109/access.2021.3127199
dc.identifier.endpage152069
dc.identifier.issn2169-3536
dc.identifier.startpage152057
dc.identifier.urihttps://hdl.handle.net/20.500.14981/62349
dc.identifier.volume9
dc.identifier.wos000719557200001
dc.language.isoeng
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofIEEE ACCESS
dc.rightsopenAccess
dc.subjectDrones
dc.subjectSignal processing algorithms
dc.subjectLinear antenna arrays
dc.subjectSignal detection
dc.subjectDirective antennas
dc.subjectAntenna measurements
dc.subjectSignal to noise ratio
dc.subjectSTFT
dc.subjectcyclostationarity
dc.subjectdirection finding
dc.subjectFHSS
dc.subjectMUSIC
dc.subjectdrone remote controller
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleDetection, Identification, and Direction of Arrival Estimation of Drone FHSS Signals With Uniform Linear Antenna Array
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

Dosyalar

Koleksiyonlar