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Short-term fading simulator based on artificial neural networks

机译:基于人工神经网络的短期衰落模拟器

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摘要

In this paper, a novel technique for simulation of the short-term fading is presented and analyzed. A proposed solution is based on a trained artificial neural network (in further text ANN) and an oscillator for regulating the simulation process. In order to obtain adequate input data for training, cross-validation and testing, extensive measurements of electric field level were carried out in indoor environment. Statistical analysis of gained results has shown good performances of the proposed technique, and thereby the possibility for applying it in the real life situations.
机译:在本文中,提出并分析了一种用于短期衰落仿真的新技术。所提出的解决方案基于训练有素的人工神经网络(在下文中称为ANN)和用于调节模拟过程的振荡器。为了获得足够的训练,交叉验证和测试输入数据,在室内环境中对电场水平进行了广泛的测量。对获得的结果进行统计分析表明,该技术具有良好的性能,因此有可能将其应用于现实生活中。

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