DocumentCode
612644
Title
Air-ground channel measurements & modeling for UAS
Author
Matolak, David W. ; Ruoyu Sun
Author_Institution
Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
fYear
2013
fDate
22-25 April 2013
Firstpage
1
Lastpage
9
Abstract
Unmanned aircraft systems (UAS) are expected to be used in greatly increasing numbers in the near future. To safely integrate them into the national airspace system (NAS) requires reliable communication links. Since operating conditions and signaling rates of UAS will not always be identical to conventional civil piloted aircraft, the air-ground channel can become a challenging obstacle to reliable communications. Thus, along with NASA´s Glenn Research Center we are conducting a measurement and modeling campaign to quantitatively characterize the air-ground channel. This paper describes our motivation, test system, measurement and modeling approach, and some initial results. Use of the developed models within larger network-scale investigations are planned, hence these results are a first step in the UAS integration into the NAS. Future results should be of use for any communication link performance analyses for UAS.
Keywords
aircraft communication; autonomous aerial vehicles; telecommunication links; telecommunication network planning; telecommunication network reliability; telecommunication signalling; NASA Glenn Research Center; UAS integration; air-ground channel measurements; air-ground channel modeling; communication link performance analyses; conventional civil piloted aircraft; national airspace system; network-scale investigations; operating conditions; reliable communication links; reliable communications; signaling rates; unmanned aircraft systems; Aerospace electronics; Aircraft; Atmospheric modeling; Computational modeling; Delays; Reflection; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Communications, Navigation and Surveillance Conference (ICNS), 2013
Conference_Location
Herndon, VA
ISSN
2155-4943
Print_ISBN
978-1-4673-6251-1
Type
conf
DOI
10.1109/ICNSurv.2013.6548539
Filename
6548539
Link To Document