Prediction of radar coverage under anomalous propagation condition for a typical coastal site: A case study
Autor: | Talal Omar Halawani, Pervez Zahir Khan, Samir Hussain Abdul-Jauwad |
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Rok vydání: | 1991 |
Předmět: |
Beam diameter
Wave propagation Field strength Anomalous propagation Condensed Matter Physics Computational physics law.invention Troposphere law General Earth and Planetary Sciences Atmospheric duct Electrical and Electronic Engineering Radar Physics::Atmospheric and Oceanic Physics Geology Gaussian beam Remote sensing |
Zdroj: | Radio Science. 26:909-919 |
ISSN: | 0048-6604 |
DOI: | 10.1029/91rs00092 |
Popis: | In this study a model predicting the electromagnetic wave propagation has been developed. The model is initialized with a known refractivity profile and an initial transmitted field. The troposphere is assumed to be inhomogeneous in height and range. The vertical refractivity profile is computed from the meteorological upper air data. Arbitrary as well as experimentally observed profiles could be used as inputs to the model. Inhomogeneity in range is invoked by injecting refractivity profiles at known locations. A transmitter with a Gaussian beam is assumed to generate the initial field based on the transmitter parameters such as vertical beam width, vertical beam elevation, transmitter frequency, antenna height, and type of polarization. A simulation for the typical site on the coast of Arabian Gulf has been chosen for the study. The field strength and radar coverage for different conditions of the typical coastal site prevailing a standard and inhomogeneous surface duct demonstrates the sensitivity of the model with the inhomogeneous and homogeneous atmosphere. Radiated fields are predicted on the basis of the initial field, boundary conditions, and atmospheric conditions considering the effect of refractivity in the case of inhomogeneous surface duct and elevated duct. Results reported in this study demonstrate the trapping of the energy in ducting atmosphere above the minimum trapping frequency with the predicted field by this model. |
Databáze: | OpenAIRE |
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