Prediction of Ground Wave Propagation Delays in Terrestrial Radio Navigation Systems Based on Soil Texture Maps

Niklas Hehenkamp, F. Rizzi, Lars Grundhöfer, S. Gewies
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Abstract

Terrestrial radionavigation systems, in the lower frequency bands, like eLoran and the upcoming medium frequency R-Mode, are facing the challenge of mitigating ground wave propagation delays to achieve the desired level of accuracy. The prediction requires detailed information about the electrical properties of the ground in the area of interest which can be obtained from the ITU-R P.832. In this paper, we propose a new method to calculate the electrical ground conductivity and permittivity based on soil texture maps. The proposed method allows the computation of Atmospheric and Ground wave Delay Factor (AGDF) maps that provide an improved accuracy and can be adjusted with respect to temperature, soil water content and water salinity. To showcase the performance of the model, we implemented the method for a selected area near the city of Berlin in Germany and evaluated the accuracy in comparison to predictions based on ITU-R P.832 during a measurement campaign. The results show that the new method yields more accurate prediction results.
基于土壤纹理图的地面无线电导航系统地波传播延迟预测
在较低频段的地面无线电导航系统,如eLoran和即将推出的中频R-Mode,正面临着减轻地波传播延迟以达到所需精度水平的挑战。预测需要有关有关地区地面电特性的详细资料,这些资料可从ITU-R P.832中获得。本文提出了一种基于土壤纹理图计算土壤电导率和介电常数的新方法。所提出的方法允许计算大气和地波延迟因子(AGDF)地图,提供更高的精度,并且可以根据温度,土壤含水量和水盐度进行调整。为了展示该模型的性能,我们在德国柏林市附近的选定地区实施了该方法,并在一次测量活动中评估了与基于ITU-R P.832的预测相比的准确性。结果表明,新方法的预测结果更加准确。
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