Acoustic measurement for 3-D distribution of gas temperature and flow applying the extended Kalman filter with local iterations

抄録

In order to visualize 3-D (three-dimensional) distributions of gas temperature and flow in chambers, an algorithm for CT (computed tomography) based on the MAP (maximum a posteriori) estimation has been developed. The algorithm can be regard as the extended Kalman filter having local iterations, to cope with non-linear observation processes of acoustic time-of-flights. In this report, derivations of the proposed algorithm as well as the performance of its application are introduced.