System identification algorithm using phasors

In this paper, an innovative System Identification approach is applied in the frequency domain, where phasor measurements, as provided by frequency analyzers, are used. This algorithm is obtained through a careful analysis of the physics of the measurement situation, following which the machinery of minimum variance estimation is applied in a linear regression framework. This process renders an efficient pseudo-minimum variance algorithm that is of linear prediction type and is superior to least squares-based methods. The simulation experiments are carefully performed, and the conditions are fully documented.