Sacchi, Claudio and D'Orazio, Leandro and Donelli, Massimo and De Natale, Francesco G.B. (2006) A genetic algorithm-assisted semi-adaptive MMSE multi-user detection for MC-CDMA mobile communication systems. [Technical Report] (Unpublished)
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Abstract
In this work, a novel Minimum-Mean Squared-Error (MMSE) multi-user detector is proposed for MC-CDMA transmission systems working over mobile radio channels characterized by time-varying multipath fading. The proposed MUD algorithm is based on a Genetic Algorithm (GA)-assisted per-carrier MMSE criterion. The GA block works in two successive steps: a training-aided step aimed at computing the optimal receiver weights using a very short training sequence, and a decision-directed step aimed at dynamically updating the weights vector during a channel coherence period. Numerical results evidenced BER performances almost coincident with ones yielded by ideal MMSE-MUD based on the perfect knowledge of channel impulse response. The proposed GA-assisted MMSE-MUD clearly outperforms state-of-the-art adaptive MMSE receivers based on deterministic gradient algorithms, especially for high number of transmitting users.
| Item Type: | Technical Report |
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| Subjects: | Uncategorized > TU Technical Reports and Publications |
| URI: | http://www.eledia.org/students-reports/id/eprint/402 |
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