Single sample modal identification of a nonstationary stochastic process

Abstract

Gauss-Markov processes excited by nonstationary noises are encountered in the modeling of vibrating systems. We prove that the classical instrumental variable method, as well as the Ho-Kalman realization algorithm, for identifying the pole part (modal characteristics) of the model, are consistent when used on a single sample of the (nonstationary) signal.