28 October 1994 New fast algorithm for blind MA-system identification based on higher order cumulants
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Abstract
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.
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Karl-Dirk Kammeyer, Karl-Dirk Kammeyer, B. Jelonnek, B. Jelonnek, } "New fast algorithm for blind MA-system identification based on higher order cumulants", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190873; https://doi.org/10.1117/12.190873
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