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Is training of adaptive equalizers still useful ?

Abstract : We present a novel unsupervised adaptive equalizer. It has the same computational complexity, convergence speed and steady-state MSE as a trained LMS adaptive DFE, but it is not subject to error propagation. Therefore, it can equalize even severe and/or quickly varying channels. This follows from the very structure of the equalizer, which allows a completely reversible transition between (i) a linear structure in the starting mode : the decoupled cascade of a recursive adaptative predictor and a transversal phase equalizer and (ii) a classical DFE in the tracking mode. The equalizer behaviour is fully satisfactory during hours of real underwater communications. It reaches the standard of trained equalizers. Hence the question in the title.
Keywords : MSE
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Conference papers
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Contributor : Bibliothèque Télécom Bretagne Connect in order to contact the contributor
Submitted on : Tuesday, June 18, 2019 - 12:17:12 PM
Last modification on : Saturday, May 1, 2021 - 3:53:10 AM


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  • HAL Id : hal-02158754, version 1


Joël Labat, Odile Macchi, Christophe Laot, N. Le Squin. Is training of adaptive equalizers still useful ?. Globecom'96, Nov 1996, Londres, United Kingdom. pp.968 - 972. ⟨hal-02158754⟩



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