Subspace angles between linear stochastic models

We define a notion of principal angles between two linear autoregressive (AR) models by considering the principal angles between the ranges of their infinite observability matrices. We show how a metric for these models, which is based on their cepstra, is related to the subspace angles between them. The definition of subspace angles is also extended to the linear autoregressive-moving-average (ARMA) model class.