Empirical Frequency-Dependent Wall Insertion Loss Model at 3-6 GHz for Future Internet-of-Things Applications.

IEEE Access(2019)

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摘要
A novel frequency-dependent wall insertion loss model at 3–6 GHz is proposed in this paper. The frequency-dependence of the wall insertion loss is modeled by the Fourier triangular basis neural network. A method to determine the optimal weighted vector and the number of the neurons is introduced. In addition, the impact of the wider continuous spectrum on the wall insertion loss is analyzed and ex...
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关键词
Insertion loss,Artificial neural networks,Neurons,Internet of Things,Loss measurement,Analytical models,Laboratories
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