VHF and UHF are widely used frequency bands, and accurate path loss prediction in these bands is of great significance. In order to improve the prediction accuracy and stability of radio wave propagation, we propose a combined modeling method based on the entropy weight method. This method assigns appropriate weights to the predicted values of sub-models using entropy, and calculates the final predicted value through weighted aggregation. To validate the feasibility of our proposed method, we conduct modeling using data from Denver, Colorado. We compare our method with the ITU-R models and a model established using the coefficient of variation method. The results demonstrate that our proposed model outperforms the compared models. Specifically, the root-mean-square error (RMSE) of our proposed model is reduced by 5.94 and 5.51 dB compared to the ITU-R P.1546 and 2001 models, respectively. Moreover, our proposed model exhibits better stability than the ITU-R models. We also use the improvement percentage (γ) to evaluate the degree of improvement of our model over the sub-models, which is 49.13% and 47.86% for the ITU-R P.1546 and 2001 models, respectively. Additionally, by comparing the RMSE and absolute error, we find that the entropy weight-based method outperforms the coefficient of variation-based method. This research demonstrates the superiority of the entropy weight-based modeling method, providing a valuable channel modeling approach for path loss prediction and supporting the regional assimilation of radio propagation prediction methods.

中文翻译：

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基于熵权的 VHF 和 UHF 频段地面业务路径损耗预测方法

VHF和UHF是广泛使用的频段，准确预测这些频段的路径损耗具有重要意义。为了提高电波传播的预测精度和稳定性，提出了一种基于熵权法的组合建模方法。该方法利用熵为子模型的预测值赋予适当的权重，并通过加权聚合计算最终的预测值。为了验证我们提出的方法的可行性，我们使用科罗拉多州丹佛市的数据进行建模。我们将我们的方法与 ITU-R 模型以及使用变异系数方法建立的模型进行比较。结果表明，我们提出的模型优于比较模型。具体来说，我们提出的模型的均方根误差（RMSE）减少了 5.94 和 5。分别比 ITU-R P.1546 和 2001 模型低 51 dB。此外，我们提出的模型比 ITU-R 模型表现出更好的稳定性。我们还使用改进百分比（γ）来评估我们的模型相对于子模型的改进程度，对于 ITU-R P.1546 和 2001 模型分别为 49.13% 和 47.86%。此外，通过比较 RMSE 和绝对误差，我们发现基于熵权的方法优于基于变异系数的方法。本研究证明了基于熵权的建模方法的优越性，为路径损耗预测提供了有价值的信道建模方法，并支持无线电传播预测方法的区域同化。