An algorithm for dual-channel noiseless signal reconstruction and its performance analysis

Author

Yellin, Daniel ; Friedlander, Benjamin

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

1542

Lastpage

1558

Abstract

We present an algorithm for estimating a two-input two-output system and recovering its inputs from noise-free observations of its outputs. The algorithm involves minimization of a set of cross-correlations between the reconstructed signals and a nonlinear function of these signals. A performance analysis of the algorithm is presented. It is shown that for the optimal choice of the nonlinear function, the performance of the algorithm is close to the Cramer-Rao lower bound (CRLB). Other choices of the function provide insights into the performance of moment/cumulant-based deconvolution techniques

Keywords

MIMO systems; adaptive signal processing; correlation methods; deconvolution; higher order statistics; iterative methods; minimisation; nonlinear functions; signal reconstruction; CRLB; Cramer-Rao lower bound; MIMO system; adaptive/sequential algorithm; cross-correlation minimization; digital communications signals; dual-channel noiseless signal reconstruction; error variance analysis; estimation algorithm; input recovery; iterative/batch algorithm; moment/cumulant-based deconvolution; noise-free observations; nonlinear function; performance analysis; reconstructed signals; two-input two-output system; Deconvolution; Helium; Iterative algorithms; Maximum likelihood estimation; Minimization methods; Narrowband; Performance analysis; Signal reconstruction; Source separation; System identification;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.765124

Filename

765124