Blind identification of PAM-MIMO systems based on the distribution of output differences

Author

Diamantaras, Konstantinos I. ; Papadimitriou, Theophilos

Author_Institution

Dept. of Inf., TEI of Thessaloniki, Sindos, Greece

fYear

2013

fDate

9-13 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

In this paper, we present, a new method for the Blind Identification and Source Separation of a convolutive Multi-Input Multi-Output (MIMO) system driven by multi-level inputs. The method takes advantage of the special properties of the observation differences distribution. We show that a specific set of differences can be used to reconstruct the mixing operator. Exhaustive search of the observation symbols yields sources separation. The method can be coupled with a simple clustering technique in order to treat noisy cases. Results on both noiseless and noisy scenarios show the efficiency of our approach.

Keywords

MIMO communication; blind equalisers; blind source separation; convolution; deconvolution; higher order statistics; pattern clustering; pulse amplitude modulation; PAM-MIMO systems; blind identification; blind source separation; clustering technique; convolutive mixture BSS; convolutive multiinput multioutput system; exhaustive observation symbol search; higher-order statistics based methods; intantaneous BSS; linear mixture BSS; mixing operator reconstruction; multichannel blind deconvolution; multichannel blind equalization; multilevel inputs; noiseless scenario; noisy scenario; observation difference distribution; output difference distribution; Abstracts; Gaussian noise; MIMO; Modulation; Blind Idendification; Blind Source Separation; MIMO system; PAM modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European

Conference_Location

Marrakech

Type

conf

Filename

6811760