Min-norm based alphabet-matching algorithm for adaptive blind equalization of high-order QAM signals - Archive ouverte HAL Access content directly
Journal Articles Transactions on emerging telecommunications technologies Year : 2013

Min-norm based alphabet-matching algorithm for adaptive blind equalization of high-order QAM signals

Abstract

An adaptive blind equalization algorithm for high-order quadrature amplitude modulations (QAM) is proposed. It is derived by combining the multi-modulus criterion and a new alphabet-matching penalty term. This penalty is based on the minimum L1-norm of the deviations of the equalizer output from the alphabet elements. Numerical experiments show that the proposed criterion provides higher performance in terms of residual error and convergence speed than the conventional multi-modulus algorithm (MMA) and its penalized versions.

Dates and versions

hal-00942436 , version 1 (05-02-2014)

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Cite

Abdenour Labed, Thierry Chonavel, Abdeldjalil Aissa El Bey, Adel Belouchrani. Min-norm based alphabet-matching algorithm for adaptive blind equalization of high-order QAM signals. Transactions on emerging telecommunications technologies, 2013, 24 (6), pp.552 - 556. ⟨10.1002/ett.2539⟩. ⟨hal-00942436⟩
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