Abstract
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(Nu(K+M)) operations per sample, where K and M are the equalizer and channel estimator length, respectively, and Nu is the number of iterations such that Nu ≪ K and Nu ≪ 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.
Original language | English |
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Article number | 5759301 |
Pages (from-to) | 427-430 |
Number of pages | 4 |
Journal | IEEE Signal Processing Letters |
Volume | 18 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |
Keywords
- Adaptive equalization
- channel estimation
- DCD
- dichotomous coordinate descent
- linear equalizer