Measurement-Based Large Scale Statistical Modeling of Air–to–Air Wireless UAV Channels via Novel Time–Frequency Analysis

Basit Öğe Kaydı
dc.contributor.authorEde, Burak
dc.contributor.authorKaplan, Batuhan
dc.contributor.authorKahraman, İbrahim
dc.contributor.authorKeşir, Samed
dc.contributor.authorYarkan, Serhan
dc.contributor.authorEkti, Ali Rıza
dc.contributor.authorBaykaş, Tunçer
dc.contributor.authorGörçin, Ali
dc.contributor.authorÇırpan, Hakan Ali
dc.date.accessioned2021-12-29T10:12:49Z
dc.date.available2021-12-29T10:12:49Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractAny operation scenario for unmanned aerial vehicles also known as drones in real world requires resilient wireless link to guarantee capacity and performance for users, which can only be achieved by obtaining detailed knowledge about the propagation channel. Thus, this study investigates the largescale channel propagation statistics for the line of sight air–to–air (A2A) drone communications to estimate the path loss exponent (PLE). We conducted a measurement campaign at 5.8 GHz, using low cost and light weight software defined radio based channel sounder which is developed in this study and then further integrated on commercially available drones. To determine the PLE, frequency-based, time-based and time–frequency based methods are utilized. Accuracy of the proposed method is verified under ideal conditions in a well-isolated anechoic chamber before the actual measurement campaign to verify the performance in a free space path loss environment. The path loss exponent for A2A wireless drone channel is estimated with these verified methods.en_US
dc.identifier.doi10.1109/LWC.2021.3122281en_US
dc.identifier.scopus2-s2.0-85118558922en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/5148
dc.identifier.urihttps://doi.org/10.1109/LWC.2021.3122281
dc.identifier.wosWOS:000739999600031en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Wireless Communications Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectUAVen_US
dc.subjectAir–to–Air (A2A) Channel Modelingen_US
dc.subjectSTFT, Measurementsen_US
dc.subjectPath Lossen_US
dc.subjectLine of Sighten_US
dc.titleMeasurement-Based Large Scale Statistical Modeling of Air–to–Air Wireless UAV Channels via Novel Time–Frequency Analysisen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
Measurement-Based_Large_Scale_Statistical_Modeling_of_Air-tob-Air_Wireless_UAV_Channels_via_Novel_Time-Frequency_Analysis.pdf
Boyut:
6.98 MB
Biçim:
Adobe Portable Document Format
Açıklama:
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.56 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu