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[2A01-06-06] A Fundamental Study on Estimation of Relative Permittivity Distribution in Concrete Using Ensemble Kalman Filter

*Yoshihito YAMAMOTO¹, Kota KUBO¹, Shunpei FUJIMORI¹ (1. Hosei University)

Keywords:FDTD, Ground Penetrating Radar, Data Assimilation, Ensemble Kalman Filter

An application of data assimilation to the estimation of the permittivity distribution inside concrete in FDTD simulations is attempted. Specifically, the applicability of the method to the estimation of permittivity distribution is examined by using an ensemble Kalman filter as a data assimilation method for a two-dimensional electromagnetic wave propagation problem in a multi-layered material model that simply models concrete. As a result of the fundamental investigation, although the number of observed data is only one as a characteristic of radar tests, the relative permittivity of multiple internal regions could be estimated by targeting a series of radar movement processes.