Second order statistics based blind channel equalization with correlated sources

Roberto Lopez-Valcarce; Soura Dasgupta

doi:10.1109/ISCAS.2001.922249

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Conference proceeding

Second order statistics based blind channel equalization with correlated sources

Roberto Lopez-Valcarce and Soura Dasgupta

ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), Vol.4, pp.366-369 vol. 4

2001

DOI: 10.1109/ISCAS.2001.922249

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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.

Statistics

Autocorrelation

Bandwidth

Blind equalizers

Computational complexity

Matrix decomposition

Sampling methods

Singular value decomposition

White noise

Details

Title: Subtitle: Second order statistics based blind channel equalization with correlated sources
Creators: Roberto Lopez-Valcarce - Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Soura Dasgupta - University of Iowa
Resource Type: Conference proceeding
Publication Details: ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), Vol.4, pp.366-369 vol. 4
DOI: 10.1109/ISCAS.2001.922249
Publisher: IEEE
Language: English
Date published: 2001
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197071202771

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