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A new symbol-alphabet-aware multi-user detection scheme
Authors:Zhiyuan Wu Xiaofeng Wang
Affiliation:Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada;
Abstract:In this letter, a new multi-user detection scheme is proposed. It employs a novel nonlinear minimum mean square error (MMSE) estimator that exploits the knowledge of symbol alphabet to estimate the interfering signals. After cancelling the estimated interference, a conventional linear multi-user detector such as the MMSE detector or, simply, the matched-filter receiver (MFR) is then used to detect the desired user signal. Simulation results demonstrate that the proposed detector significantly outperforms the conventional linear MMSE detector.
Keywords:
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