New fast algorithm for blind MA-system identification based on higher order cumulants
Karl‐Dirk Kammeyer, Björn Jelonnek · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
In this paper, a new approach to blind Moving Average system identification is presented. It is derived from a specific algorithm for fast blind equalization (EVA, Eigen Vector Algorithm) published recently. The novel approach leads to a generalized eigenvalue problem and is thus denoted as EVI (Eigen Vector Identification). It will be shown that EVI allows a proper system (channel) estimation on the basis of a relatively small block of data samples. Another crucial property of EVI is its robustness against a system order overfit (this is in contrast to other blind algorithms known so far). Finally the EVI performance will be evaluated in presence of additive gaussian noise; it will be demonstrated by simulation results that the degradation of the channel estimate is very small even with low signal to noise ratios.