Data fusion to improve supersonic jet data

Jet noise is a problem that affects department of defense and civilian flight operations. To design quieter aircraft, low-order models are necessary to predict the noise produced by an engine during the early design phase. Accurate development of these models requires high-quality, high-speed data. However, current simulation and measurement techniques may not always capture the necessary data. Through the fusion of computational and experimental data, one can improve the quality of data. Fusion was applied to estimate areas in the experimental data affected by occlusions, to account for the short time records of the computational data, and the lack of temporal resolution in the experiments.