Auto-Generated Summaries for Stochastic Radio Channel Models

2021 15th European Conference on Antennas and Propagation (EuCAP)(2021)

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摘要
Recently, a calibration method has been proposed for estimating the parameters of stochastic radio channel models using summaries of channel impulse response measurements without multipath extraction. In this paper, we attempt to automatically generate summaries using an autoencoder for calibration of channel models. This approach avoids the need for explicitly designing informative summaries abou...
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关键词
Training,Computational modeling,Stochastic processes,Channel estimation,Europe,Data models,Calibration
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