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- W2159374639 abstract "In this paper, we propose one grouped-iterative framework to generate a family of the MIMO detection algorithms. The presented framework not only includes the conventional iterative, grouped, and Chase detection algorithms, but also derives a new low-complexity MIMO detection algorithm. The proposed detection can adjust some parameters to achieve a range of trade-offs between performance and complexity. In (4,4) system with uncoded 16-QAM inputs, one instance of the proposed detection algorithm not only substantially reduces the multiplication complexity by 26.3% but also outperforms the BODF algorithm about 5 dB. Another instance of the proposed algorithm can save multiplication complexity by 34% at the penalty of 1 dB loss compared with the B-Chase detector." @default.
- W2159374639 created "2016-06-24" @default.
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- W2159374639 date "2008-09-01" @default.
- W2159374639 modified "2023-09-23" @default.
- W2159374639 title "A Grouped-Iterative Framework for MIMO Detection" @default.
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- W2159374639 doi "https://doi.org/10.1109/vetecf.2008.123" @default.
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