Forward/inverse blind equalization

A new technique for blind equalization is presented which estimates the inverse (deconvolution) multipath channel and the forward channel as well. This method removes the need for an ad hoc energy constraint on the filter taps and constrains the equalization filter by relating the output back to the...

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Bibliographic Details
Main Authors: Lambert, R.H., Nikias, C.L.
Format: Conference Proceeding
Language:English
Subjects:
Blind equalizers
Convergence
Deconvolution
Eigenvalues and eigenfunctions
Feedback
Filters
Gradient methods
Multipath channels
Robustness
Stochastic processes
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Description
Summary:A new technique for blind equalization is presented which estimates the inverse (deconvolution) multipath channel and the forward channel as well. This method removes the need for an ad hoc energy constraint on the filter taps and constrains the equalization filter by relating the output back to the equalizer input. The concept of feedback is used to provide a more meaningful constraint for blind equalization filters. The real advantage of the method is increased speed of convergence over traditional stochastic gradient methods, and greater robustness to eigenvalue spread. These benefits come at a modest two times the computational complexity price.< >
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1994.471700