3D non‐stationary unmanned aerial vehicles' MIMO channel model. Issue 18 (1st November 2019)

• Record Type: Journal Article
• Authors: Jia, Haolin; Chen, Hui; Wang, Shiwen; Zhang, Yahong
• Is Part Of: IET communications. Volume 13:Issue 18(2019)
• Page Start: 2941
• Page End: 2945
• Publication Date: 2019-11-01
• Subjects: autonomous aerial vehicles -- Doppler shift -- MIMO communication -- wireless channels -- telecommunication control -- radiowave propagation -- radio receivers -- statistical analysis; statistical properties -- Doppler shifts -- 2D disc -- two‐dimensional disc -- 3D cylinder -- UAV‐MIMO channel propagation environment -- UAV‐MIMO channel measurements -- 3D nonstationary unmanned aerial vehicle MIMO channel model -- moving scatterers -- UAV‐MIMO communication systems -- stationary scatterers -- nonstationary UAV multiple‐input multiple‐output channel model -- unmanned aerial vehicle channel measurements; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.0149
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The unmanned aerial vehicle (UAV) channel measurements have shown that the propagation environment of UAV channel is non‐stationary. In this study, a three‐dimensional (3D) non‐stationary UAV multiple‐input multiple‐output (MIMO) channel model is proposed. In order to sufficiently describe the propagation environment of UAV‐MIMO channel, the stationary scatterers and moving scatterers are investigated in the proposed model, which are mimicked using 3D cylinder and two‐dimensional (2D) disc, respectively. The Doppler shifts associated with moving scatterers are also considered in the proposed model. The movement of UAV, receiver, and moving scatterers results in non‐stationarities, and time‐variant distances, azimuth angles, and elevation angles are investigated in the proposed model. The statistical properties of the moving scatterers are also investigated in the proposed channel model. In order to validate the proposed model, the spatial correlation is compared with the measurement results, and the numerical results show that the proposed channel model is applicable to describe the UAV‐MIMO communication systems.