title: Blind identification of non-stationary MA systems
abstract: A new adaptive algorithm for blind identification of time-varying MA channels is derived. This algorithm proposes the use of a novel system of equations derived by combining the third- and fourth-order statistics of the output signals of MA models. This overdetermined system of equations has the important property that it can be solved adaptively because of their symmetries via an overdetermined recursive instrumental variable-type algorithm. This algorithm shows good behaviour in arbitrary noisy environments and good performance in tracking time-varying systems
keyphrases: blind identification adaptive algorithm fourth-order statistics MA models arbitrary noisy environments tracking time-varying channels nonstationary systems third-order statistics overdetermined recursive algorithm recursive instrumental variable algorithm iterative algorithms additive Gaussian noise higher-order statistics