Analytic Propagation Approximation over Variable Terrain and Comparison to Data
| Autor: | Jani Moilanen, Reinaldo A. Valenzuela, Luis Maestro, Siegfried Klein, Dmitry Chizhik |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
020208 electrical & electronic engineering Parabola 020206 networking & telecommunications Terrain 02 engineering and technology Set (abstract data type) Variable (computer science) Modal Linear regression 0202 electrical engineering electronic engineering information engineering Root-mean-square deviation Algorithm Selection (genetic algorithm) |
| Zdroj: | 2020 14th European Conference on Antennas and Propagation (EuCAP). |
| DOI: | 10.23919/eucap48036.2020.9136055 |
| Popis: | An analytical modeling methodology to rapidly predict signal strength over variable terrain has been developed. Methodology relies on approximating the intervening terrain by a constrained parabola, allowing the use of a modal sum solution. The model has been compared against an extensive data set of over 3000 links, measured in a desert environment of Fuerteventura, Spain, resulting in 8.5 dB RMS error, an improvement over a linear fit to data, which has 12.5 dB RMS deviation. The model is intended for use in future lunar missions where rapid coverage calculations are important for selection of optimal landing sites. |
| Databáze: | OpenAIRE |
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