Kalman filter-based estimation of short-time Fourier coefficients in energy applications

The paper presents analytical and experimental results on model-based linear estimation of short-time Fourier coefficients (or dynamic phasors) in energy processing systems. The procedure is based on the Kalman filter, and shares its features regarding the suppression of measurement noise. The procedure is illustrated experimentally on examples involving a single-phase inductor.