MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  SECOND ORDER STATISTICS BASED BLIND CHANNEL EQUALIZATION WITH CORRELATED SOURCES

Download:
Download as a PDF
by Roberto López-valcarce, Soura Dasgupta
http://www.gts.tsc.uvigo.es/gpsc/publications/valcarce/coloredcnf01.pdf
Add To MetaCart

Abstract:

In this paper the blind equalization method of Tong, Xu and Kailath, which was derived under the assumption of a white transmitted sequence, is generalized in order to include correlated sources. The resulting algorithm can be applied to arbitrarily colored sources, assuming that the source second-order statistics are known. Because it makes explicit use of this information, the new algorithm is expected to outperform subspace based methods which neither require nor exploit such knowledge. This is verified via simulations. 1.

Citations

185 Subspace methods for the blind identification of multichannel FIR filters – Moulines, Duhamel, et al. - 1995
126 Adaptive Filter Theory, 3rd ed – Haykin - 1996
125 Blind Identification and Equalization Based on Second-Order Statistics: A Frequency Domain Approach – Tong, Xu, et al. - 1995
13 Fractionally spaced equalization of linear polyphase channels and related blind techniques based on multichannel linear prediction – Papadias, Slock - 1999
10 Source correlation compensation for blind channel identification based on second-order statistics – Hua, Yang, et al. - 1994
2 Blind identification of FIR systems driven by Markov-like input signals – Afkhamie, Luo - 2000