DocumentCode :
3342073
Title :
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
Link To Document :
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