NIST Reverberation Chamber S-Parameter Dataset for Deep Learning-Based Position Inference

This dataset contains two-port S-parameter measurements (S2P format) acquired in a typical mode-stirred reverberation chamber. The measurements support training of artificial neural networks to infer optimal mechanical stirrer and turntable positions for realizing a target wireless channel response. Data provides dense sampling of scattering parameters across mechanical configurations for four fixed excitation antennas.