Ground-wave propagation characterization and prediction for HF cognitive radio

Michael J. Conway, Christopher J. Payne, Sven G. Bilén, Eric N. Koski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Various high-frequency (HF) ground-wave propagation models are evaluated by comparing the models' path-loss estimates with field measurements. Multiple sources of ground conductivity and permittivity information and various methods for estimating terrain effects are employed, with the goal of approximating the measured path-loss values as accurately as possible. Estimates are obtained using the Rotheram-Millington spherical-Earth model as well as models that take the path's terrain profile into account, including a simple clearance angle model and more elaborate models estimating knife-edge diffraction loss using the methods of Bullington, Epstein-Peterson, and Deygout. Ground conductivity and permittivity values are obtained from standard ITU conductivity maps or directly measured at the transmit and receive locations. The Google Maps API is used to provide the terrain profile across each link. The resulting improvements in ground-wave path-loss estimation will contribute to more effective communications planning in HF radio networks, and to defining realistic scenarios for simulation studies of MANET protocols and cognitive radio techniques for use at HF.

Original languageEnglish (US)
Title of host publication2015 IEEE Military Communications Conference, MILCOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781509000739
StatePublished - Dec 14 2015
Event34th Annual IEEE Military Communications Conference, MILCOM 2015 - Tampa, United States
Duration: Oct 26 2015Oct 28 2015

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


Other34th Annual IEEE Military Communications Conference, MILCOM 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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