Institute for Telecommunication Sciences
the research laboratory of the National Telecommunications and Information Administration

Eldon J. Haakinson; Susan L. Rothschild; Brent L. Bedford

Abstract: An interactive program has been developed to evaluate the performance of medium frequency (MF) broadcasting systems. The model calculates both ground–wave and sky–wave signals. The user can select from three ground–wave methods: (1) smooth Earth, homogenous path; (2) smooth Earth, mixed path; and (3) irregular Earth, mixed path. The available sky–wave methods are: (1) FCC/Region 2, (2) CCIR, and (3) Wang. Three options are available for making the ground–wave and sky–wave predictions: (1) a· point–to–point mode that allows the user to define all of the parameters and test the sensitivity of different parameters, (2) a point–to–point mode which compares the desired signal and interference signals at the reception point, and (3) an area mode that produces signal–to–interference or signal coverage plots. The program utilizes the characteristics of transmitting stations found in a Region 2 data base to make interference calculations. The program also incorporates a Region 2 ground conductivity data base, a Region 2 terrain elevations data base, and a worldwide atmospheric noise data base.

Keywords: MF broadcasting; ground-wave propagation; MF antenna models; MF system characteristics; sky-wave propagation

To request a reprint of this report, contact:

Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
(303) 497-3572

For technical information concerning this report, contact:

Brent L. Bedford
Institute for Telecommunication Sciences
(303) 497-5288

Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

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