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Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer

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Publication details

JournalIEEE Signal Processing Letters
DatePublished - Jul 2011
Issue number7
Number of pages4
Pages (from-to)427-430
Original languageEnglish


In this letter, we propose a low-complexity channel-estimate based adaptive linear equalizer. The equalizer exploits coordinate descent iterations for computation of equalizer coefficients. The proposed technique has as low complexity as operations per sample, where and are the equalizer and channel estimator length, respectively, and is the number of iterations such that and . Moreover, with dichotomous coordinate descent iterations, the computation of equalizer coefficients is multiplication-free and division-free, which makes the equalizer attractive for hardware design. Simulation shows that the proposed adaptive equalizer performs close to the minimum mean-square-error equalizer with perfect knowledge of the channel.

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