標題: Maximum Likelihood and Soft Input Soft Output MIMO Detection at a Reduced Complexity
作者: Yang, Kai-Jiun
Tsai, Shang-Ho
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: ML detector;order sorting;sphere decoding
公開日期: 1-十二月-2018
摘要: This paper proposes an efficient pruning algorithm for MIMO detector, which not only achieves the same performance of the maximum likelihood (ML) decoder, but also massively reduces the number of visiting nodes. The proposed algorithm applies correct sorting order so that it achieves the same performance of the ML decoder. Thanks to the use of the correct ordering, both child and sibling nodes can be pruned efficiently. As a result, the number of visiting nodes is significantly reduced. To acquire properly sorted order, we propose fast sorting algorithms that generate the exact sorted sequence. Furthermore, the proposed schemes can be applied in SISO MIMO detector. The advantages of the proposed sphere decoder become more pronounced in high-order modulation schemes.
URI: http://dx.doi.org/10.1109/TVT.2018.2874044
http://hdl.handle.net/11536/148626
ISSN: 0018-9545
DOI: 10.1109/TVT.2018.2874044
期刊: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume: 67
起始頁: 12389
結束頁: 12393
顯示於類別:期刊論文