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Low-Complexity Channel-Estimate Based Adaptive Linear Equalizer
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DOI：10.1109/LSP.2011.2148713.png)
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摘要
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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 O(N-u(K + M)) operations per sample, where K and M are the equalizer and channel estimator length, respectively, and N-u is the number of iterations such that N-u << K and N-u << M. 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.
Keyword:
Adaptive equalization
channel estimation
dichotomous coordinate descent
DCD
linear equalizer
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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