Asymptotic comparison of two blind channel identification algorithms

Author

Kristensson, Martin ; Ottersten, Bjorn

Author_Institution

Dept. of Signals, Sensors & Syst., R. Inst. of Technol., Stockholm, Sweden

fYear

1997

fDate

16-18 April 1997

Firstpage

361

Lastpage

364

Abstract

In this paper the performance of two second order based blind channel identification techniques is studied. The methods are compared theoretically and the formulas validated practically by simulations. The first method is a well known subspace approach and the second is a covariance matching estimator. This last estimator should attain the lower bound for the asymptotical estimation error covariance of any second order based blind identification algorithm.

Keywords

covariance analysis; estimation theory; identification; least squares approximations; telecommunication channels; asymptotic comparison; asymptotical estimation error covariance; blind channel identification algorithms; covariance matching estimator; performance; second order based blind channel identification techniques; subspace approach; Antenna arrays; Baseband; Communication channels; Communication systems; Digital modulation; Integrated circuit modeling; Sensor systems; Signal processing; Signal processing algorithms; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on

Conference_Location

Paris, France

Print_ISBN

0-7803-3944-4

Type

conf

DOI

10.1109/SPAWC.1997.630397

Filename

630397