Experimental study of semi-blind channel identification/equalization through pilot signals

Author

Farhang-Boroujeny, B.

Author_Institution

Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore

Volume

1

fYear

1996

fDate

14-18 Oct 1996

Firstpage

618

Abstract

We present a pilot-based channel identification scheme with a unimodal performance surface which guarantees its convergence towards an unbiased estimate of the channel response. A computationally efficient least squares channel identification algorithm is then proposed. We also introduce three different implementation strategies for data receivers which may use the proposed scheme for semi-blind equalization of communication channels. The reliability of the proposed scheme is tested through computer simulations

Keywords

Wiener filters; convergence of numerical methods; equalisers; filtering theory; identification; least squares approximations; receivers; telecommunication channels; Wiener filter; channel response; communication channels; computationally efficient algorithm; computer simulations; convergence; data receivers; experimental study; least squares channel identification algorithm; pilot based channel identification; pilot signals; reliability; semiblind channel identification/equalization; unbiased estimate; unimodal performance surface; Blind equalizers; Communication channels; Computational complexity; Computer simulation; Convergence; Least squares methods; Matrix decomposition; Maximum likelihood estimation; Signal processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.567340

Filename

567340