Communication Channel Propagation Model Based on a Combination of GTD and SBR
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AbstractThe prediction of the performance of radio communication channels in complex environments is a challenging problem for computational electromagnetics. The geometries involved are very complicated in. shape. They are also very large, so that large amounts of data are needed to describe the buildings, terrain, and other features to be included in the calculations. Developments that have occurred over the past decade, and to a greater extent over the past few years, now provide the tools needed for accurate prediction of the performance of these communication channels. These developments include more accurate terrain data bases, quick availability of urban feature information, advances in computational electromagnetics, and faster computers with large memory. Utilizing these advances, it has been demonstrated that deterministic, site-specific prediction of radio signal propagation in complex environments is possible. The next step is to take this capability from a research tool to a user-friendly software environment to be applied in realistic situations by non-experts. BENEFITS: Commercial software for the accurate prediction of radio communication channel propagation would be useful to companies desiring to site communication systems and to DOD agencies interested in reliable radio communications, especially in situations where preliminary measurements are not possible.
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