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A low-complexity, effective detection method for Multiple-Input Multiple-Output (MIMO) systems based on post-equalization eigenspace search is proposed in this paper. Motivated by the observation that solutions yielded by linear equalization-based detectors are corrupted by color noise, the proposed scheme introduces a new constellation-search procedure to augment linear detectors. Specifically, calibrated search is conducted around the initial solution yielded by linear detectors, in the directions guided by the eigenvectors corresponding to the dominant eigenvalues of the covariance matrix of the color noise to identify improved solutions.
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