Blind estimation of multiple digital signals transmitted over FIR channels

Author

van der Veen, A.-J. ; Talwar, Shrilpa ; Paulraj, Arogyaswami

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

Volume

2

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

99

Lastpage

102

Abstract

Using oversampling and the finite-alphabet property of digital communication signals, it is possible to blindly identify an FIR channel carrying a superposition of such signals, provided they have the same (known) period, and certain rank conditions on the data and channel matrices are satisfied. In particular, this technique allows separation of finite alphabet signals, removal of intersymbol interference, and synchronization of the signals. An algorithm is proposed and tested on simulated data.<>

Keywords

digital communication; digital signals; estimation theory; identification; intersymbol interference; matrix algebra; signal sampling; synchronisation; telecommunication channels; transient response; FIR channel identification; algorithm; blind estimation; channel matrices; data matrices; digital communication signals; finite alphabet signals; intersymbol interference removal; multiple digital signals; oversampling; rank conditions; signal synchronization; simulated data; Context; Digital communication; Finite impulse response filter; Information systems; Intersymbol interference; Laboratories; Scientific computing; Signal processing; Signal processing algorithms; Testing;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.386290

Filename

386290