Innovative Model for Predicting Soil Impact on Patch Antenna Directivity

Mounir El Mejjatti, Ahmed Habbani
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Abstract

The radiation pattern of an antenna is heavily contingent upon its physical attributes and the surroundings it operates within. However, the permanent integration of devices into the ground introduces inherent instability into the propagation medium, reliable to spatial and temporal fluctuations in dielectric permittivity. This research introduces a multivariable method that adeptly captures patterns within datasets, facilitating precise prognostication of maximum directivity deviations, reaching approximately 70%. This technique leans on the principles of multiple linear analysis and takes into account soil parameter values. Moreover, our study’s outcomes illustrate that among the four pivotal variables, volumetric moisture wields a pronounced impact on the main lobe magnitude, boasting a noteworthy correlation coefficient of -0.702. In contrast, temperature and bulk density exhibit coefficients of 0.106 and -0.133, respectively. Conversely, the influence of specific density seems to be of minor import. The results obtained fulfill the established aims of this investigation, furnishing designers with indispensable insights to tackle the predicaments that transmitters might confront in such scenarios.
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预测土壤对贴片天线指向性影响的创新模型
天线的辐射模式在很大程度上取决于其物理属性和工作环境。然而,将设备永久集成到地面上会给传播介质带来固有的不稳定性,这对介电常数的空间和时间波动是可靠的。这项研究引入了一种多变量方法,该方法善于捕捉数据集中的模式,有助于精确预测最大指向性偏差,最大指向性偏差可达到约 70%。该技术基于多重线性分析原理,并考虑了土壤参数值。此外,我们的研究结果表明,在四个关键变量中,体积湿度对主叶幅度有明显影响,相关系数为-0.702,值得注意。相比之下,温度和体积密度的相关系数分别为 0.106 和 -0.133。相反,比密度的影响似乎不大。所获得的结果实现了本研究的既定目标,为设计人员解决发射机在这种情况下可能面临的困境提供了不可或缺的见解。
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