Abstract
Electrical impedance tomography (EIT) is a relatively new imaging modality in which the internal impedivity distribution is reconstructed based on the known sets of injected currents and measured voltages on the surface of the object. In this paper, an effective EIT imaging scheme is presented for on-line monitoring of the time-varying resistivity distribution inside the object based on the interacting multiple model (IMM) algorithm. The inverse problem is treated as a nonlinear state estimation problem and time-varying resistivity (state) is estimated on-line with the aid of the IMM algorithm. In doing so, multiple kinematic models are employed as the state evolution model to reduce the modelling uncertainty. Computer simulations are provided to illustrate the reconstruction performance of the proposed algorithm.
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