Comparison of different Neural Network architectures for SBTVD signal prediction based on effective transmission heights

A. Pereira, I. Casella
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Abstract

In this article, we propose three different neural networks architectures for predicting the received signal power of the Brazilian digital TV system based on the effective transmission heights for each frequency channel and the points of reception inside the coverage area. The presented models will be analyzed and compared with the main propagation models used for digital TV described in the scientific literature. An accurate estimate of the received signal is essential to ensure a good image quality of the digital TV sets of all customers of the system.
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基于有效传输高度的SBTVD信号预测不同神经网络结构的比较
在本文中,我们提出了三种不同的神经网络架构,用于基于每个频率通道的有效传输高度和覆盖区域内的接收点来预测巴西数字电视系统的接收信号功率。所提出的模型将与科学文献中描述的用于数字电视的主要传播模型进行分析和比较。对接收到的信号进行准确的估计,对于确保系统中所有用户的数字电视都能获得良好的图像质量至关重要。
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