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An Increase of the Rate of Convergence for Blind Channel Estimation

Presentation held at WSES International Conference on Speech, Signal and Image Processing (SSIP 2001), Valetta Malta 2001, 1-6 September 2001
: Klinski, R.; Hutzelmann, H.; Steckenbiller, H.; Knorr, R.

Fulltext urn:nbn:de:0011-n-816680 (67 KByte PDF)
MD5 Fingerprint: dae0eb4c9df430f737369e6b69d7dec3
Created on: 2.10.2008

2001, 4 pp.
International Conference on Speech, Signal and Image Processing (SSIP) <2001, Malta>
Presentation, Electronic Publication
Fraunhofer ESK ()
OFDM; blind channel estimation; rate of convergence

Blind channel estimation, based on second order statistics, has recently been widely investigated in order to equalize the communication channel without resorting to training sequences. Unfortunately, blind estimation methods suffer from a slow rate of convergence. In this paper, we propose a novel approach which reduces the estimation error (and hence increases the rate of convergence) by suitable equalization of the channel's estimate. This method is based on an approximation of the solution of a linear prediction problem which requires an additional (blind) estimation of the autocorrelation function of the received signal. In order to demonstrate the performance of the proposed approach, blind channel estimation for OFDM systems is considered. Even if the necessary autocorrelation function of the received signal is estimated by means of simple time averaging, an increase of the rate of convergency can be achieved.