Blind channel identifiability/equalizability of single input multiple output nonlinear channels from second order statistics

Author

López-Valcarce, Roberto ; Dasgupta, Soura

Author_Institution

Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA

Volume

5

fYear

2000

fDate

2000

Firstpage

2769

Abstract

We explore the utility of second-order statistics for blind identification/equalization of nonlinear channels. Under standard assumptions it is shown that the channel cannot be identified to within a scaling factor from the output second order statistics, but that the ambiguity is at a level that permits equalization. We show that these results cover cases that the prior literature does not address

Keywords

blind equalisers; identification; matrix algebra; statistical analysis; telecommunication channels; FIR channel; SIMO nonlinear channels; algorithm; ambiguity matrix; blind channel identification/equalization; channel matrix; linear FIR zero-forcing equalizers; output second order statistics; scaling factor; single input multiple output nonlinear channels; symbol sequence statistics; white input; Blind equalizers; Cities and towns; Data communication; Finite impulse response filter; Higher order statistics; Kernel; Magnetic recording; Polynomials; Satellite communication; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861075

Filename

861075