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Remote Sens. 2017, 9(2), 151; doi:10.3390/rs9020151

A New Propagation Channel Synthesizer for UAVs in the Presence of Tree Canopies

1
Department of Electromagnetic Field, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague 6, Czech Republic
2
Signal Theory and Communications Department, University of Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Prasad S. Thenkabail, Randolph H. Wynne and Farid Melgani
Received: 25 November 2016 / Revised: 15 January 2017 / Accepted: 9 February 2017 / Published: 13 February 2017
(This article belongs to the Special Issue Recent Trends in UAV Remote Sensing)
View Full-Text   |   Download PDF [5340 KB, uploaded 18 February 2017]   |  

Abstract

Following the increasing popularity of unmanned aerial vehicles (UAVs) for remote sensing applications, the reliable operation under a number of various radio wave propagation conditions is required. Assuming common outdoor scenarios, the presence of trees in the vicinity of a UAV or its ground terminal is highly probable. However, such a scenario is very difficult to address from a radio wave propagation point of view. Recently, an approach based on physical optics (PO) and the multiple scattering theory (MST) has been proposed by the authors, which enables fast and straightforward predictions of tree-scattered fields at microwave frequencies. In this paper, this approach is developed further into a generative model capable of providing both the narrowband and wideband synthetic time series of received/transmitted signals which are needed for both UAV communications and remote sensing applications in the presence of scattering from tree canopies. The proposed channel synthesizer is validated using both an artificially-generated scenario and actual experimental dataset. View Full-Text
Keywords: physical optics; scattering; time series; vegetation physical optics; scattering; time series; vegetation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kvicera, M.; Perez-Fontan, F.; Pechac, P. A New Propagation Channel Synthesizer for UAVs in the Presence of Tree Canopies. Remote Sens. 2017, 9, 151.

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