標題: A Grouped-Iterative Framework for MIMO Detection
作者: Wu, Di-You
Van, Lan-Da
資訊工程學系
Department of Computer Science
公開日期: 2008
摘要: 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 5dB. 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.
URI: http://hdl.handle.net/11536/32353
ISBN: 978-1-4244-1722-3
ISSN: 1090-3038
期刊: 68TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, FALL 2008
起始頁: 526
結束頁: 530
顯示於類別:會議論文