An approach to blind deconvolution based on second-order “soft” statistics

Author

Baccarelli, E. ; Cusani, R. ; Galli, S.

Author_Institution

INFO-COM Dept., Rome Univ., Italy

Volume

1

fYear

1998

fDate

7-11 Jun 1998

Firstpage

329

Abstract

We present a new blind equalizer that achieves identification of a channel by exploiting only second-order statistics of the observations. The novelty of the proposed approach is that the receiver accomplishes channel identification by using soft statistics; roughly speaking, it consists of an Abend-Fritchman (1970) type maximum a posteriori (MAP) equalizer that feeds a nonlinear Kalman-like channel-estimator with the soft statistics constituted by the a posteriori probabilities (APPs) of the channel-state sequence. So, since the receiver employs second-order statistics only, it achieves channel identification with fewer symbols than most techniques based on higher-order statistics

Keywords

data communication; deconvolution; equalisers; maximum likelihood estimation; probability; receivers; statistical analysis; telecommunication channels; Abend-Fritchman type MAP equalizer; ISI; a posteriori probabilities; blind deconvolution; blind equalizer; channel identification; channel-state sequence; data transmission system; higher-order statistics; maximum a posteriori equalizer; nonlinear Kalman-like channel-estimator; observations; receiver; second-order soft statistics; symbol by symbol MAP detector; Blind equalizers; Convergence; Data communication; Deconvolution; Feeds; Filters; Higher order statistics; Intersymbol interference; Mean square error methods; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-4788-9

Type

conf

DOI

10.1109/ICC.1998.682851

Filename

682851