Abstract
Field strength is a typical indicator of air access network signals, and the prediction of field strength has important reference significance for the estimation of aerial access network signals. However, many factors affecting the field strength, such as path, terrain, sunshine, and climate, increase the computational complexity, which greatly increases the difficulty of establishing an accurate prediction system. After persistent research by researchers in recent years, the ITU-R P.1546 model has gradually become a point-to-surface forecasting method for ground services recommended by ITU for ground operations in the frequency range of 30 MHz~3000 MHz. In view of the characteristics of electromagnetic signal propagation in mountainous environment, the influence of diffraction is also considered in this paper. Based on more accurate scene information such as actual terrain, the prediction calculation of electromagnetic signal propagation in a mountainous environment is proposed by using the corrected ITU-R P.1546 model. In addition, the influence of the actual terrain is taken into account to correct the relevant parameters, and the predicted results are compared with the measured data. The results indicate that field strength prediction results of the ITU-R P.1546 model based on the diffraction effect correction proposed in this paper in specific physical areas have better performance than those of the traditional ITU-R P.1546 model. Among them, the determination coefficient between the measured data and the predicted results is 0.87, the average error is 5.097 dBμV/m, and the root mean square error is 6.6228 dBμV/m, which proves that the ITU-R P.1546 model based on the corrected model is effective in the prediction of electromagnetic field intensity in the actual mountainous environment.
Highlights
As the air access network becomes more and more widely used, the signal estimation of the air access network becomes more and more important
In order to verify and evaluate the performance of the electromagnetic field strength prediction method based on the ITU-R P.1546 model, a method is designed in this paper to evaluate the performance of the method in the field strength prediction by comparing the simulation prediction with the measured data
The determination coefficient of the results of the ICS software is 0.169, so it can be seen from the statistical analysis results that the modified model has a much higher coefficient of determination, indicating that compared with the original model and ICS software, the modified ITU-R P.1546 model can adapt to this mountainous area with obvious topography
Summary
As the air access network becomes more and more widely used, the signal estimation of the air access network becomes more and more important. Field strength is a typical indicator of aerial access network signals, so the prediction of field strength has important reference significance for the estimation of air access network signals. From the perspective of propagation mode, it is generally divided into several types, such as diffraction, scattering, direct radiation, refraction, and reflection, and the basic model calculates one or more combinations of them [4, 5]. [8, 9] The application scope of the models can be limited to a single geographical environment or simultaneously adapt to a variety of geographic environments [10] From the perspective of geographical environment, it is generally divided into low-lying hills, plains, mountainous areas, cold and warm fresh water, cold and warm seawater, forests, deserts, tundra, etc. [8, 9] The application scope of the models can be limited to a single geographical environment or simultaneously adapt to a variety of geographic environments [10]
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