Novel Soil Impact Prediction Model on Bandwidth
Abstract
The antenna's bandwidth strongly depends on its physical characteristics and the surrounding environment. However, permanently embedding devices in the soil causes inherent instability in the propagation medium due to spatial and temporal variations in dielectric permittivity. This study introduces an innovative multivariable approach that effectively captures dataset patterns, enabling accurate prediction of frequency range variations, at around 70%. This technique relies on the multiple linear analysis method and considers soil parameter values. Furthermore, our research findings demonstrate that among the four key variables, volumetric moisture exhibits a pronounced influence on the operating band, with a notable correlation coefficient of 0.72, whereas temperature and bulk density show scores of -0.381 and 0.08, respectively. On the other hand, the effect of specific density appears to have minimal significance. The obtained results successfully achieve the set objectives of this study by providing critical information for designers to address the challenges that transmitters may encounter in such scenarios.