Detalle del congreso

Autores: Gómez, Juan Carlos; Baeyens, Enrique.

Resumen: A subspace based approach for the blind identification ofnonlinear Single Input Multiple Output (SIMO) time-invariant chan-nels is presented in this paper. The considered models include, but arenot limited to, polynomial approximations of nonlinear channels (i.e.,Volterra models), which have been used to represent satellite communications, magnetic recording channels, and physiological processes, amongother applications. The channel parameters are estimated in closed form,up to a scalar factor, by computing the column space of the output Hankel matrix, via a Singular Value Decomposition (SVD), and then solvinga Least Squares (LS) estimation problem also resorting to an SVD. Numerical simulations are used to illustrate the performance of the proposedalgorithms.

Tipo de reunión: Simposio.

Tipo de trabajo: Artículo Completo.

Producción: Blind Identification of Nonlinear Channels: A Subspace Approach.

Reunión científica: Simposio Argentino de Tecnología (AST2008) (ISSN 1850-2784).

Lugar: Santa Fe.

Institución organizadora: SADIO: Sociedad Argentina de Informática e Investigación Operativa.

Publicado: Sí

Lugar publicación: Santa Fe

Mes de reunión: 12

Año: 2008.