Surrogate Modeling-Based Acceleration of Multi-Harmonic Near-Field Measurements

In this paper, a surrogate modeling-based acceleration technique for multi-harmonic phase-coherent electro-optic near-field measurements is presented. The implementation uses an adaptive sampling and modeling algorithm instead of the conventional raster scanning approach, which reduces the measurement time by a factor of 9, from 7 hours to 45 minutes, and the number of samples by a factor of 23, from 10556 to 464, while maintaining the average measurement error under 5%. The reduction in measurement time helps to preserve the accuracy of the multi-harmonic near-field measurements, as the electro-optic measurement system response can drift over time, due to thermal fluctuations in the measurement environment.