Low-complexity V-BLAST detection scheme with high performance

被引:0
作者
Guo M.-X. [1 ]
Jia C. [1 ]
Shen Y.-H. [1 ]
Gao Y.-Y. [1 ]
机构
[1] Inst. of Communication Eng., PLA Univ. of Sci. and Tech.
来源
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 03期
关键词
List detection; Maximum likelihood; MIMO system; Sorted QR decomposition;
D O I
10.3969/j.issn.1001-2400.2010.03.033
中图分类号
学科分类号
摘要
Based on sorted QR decomposition, a new list V-BLAST detection scheme is proposed. List detection is adopted for the first layer to produce several candidate symbols. A modified sorted QR decomposition is also proposed for the case of the number of candidates equal to the constellation size. Several groups of candidate symbols can be obtained when successive interference cancellation is applied to the following layers, and the minimum Euclidean distance (MED) search is used to choose one as the output. Analysis and simulation show that the proposed scheme can achieve very good performance with low complexity. When the number of antennas is less than 5, it can achieve near ML detection performance. A threshold can be set in the process of searching MED to further reduce the complexity, and the method for determining the threshold value is also given. Simulation results show that the method can reduce more than one half of the complexity while suffering a little performance loss.
引用
收藏
页码:570 / 575
页数:5
相关论文
共 9 条
  • [1] Wubben D., Rinas J., Bohnke R., Kuhn V., Et al., Efficient algorithm for detecting layered space-time codes, Proc of 4th International ITG Conference on Source and Channel Coding, pp. 399-405, (2002)
  • [2] Choi W.J., Negi R., Cioffi J.M., Combined ML and DFE decoding for the V-BLAST system, International Conference on Communications, pp. 1243-1248, (2000)
  • [3] Zheng J., Bai B., Wang X., V-BLAST detection based on nulling vector set searching, Journal of Xidian University, 33, 4, pp. 612-616, (2006)
  • [4] Xiong C., Wang D., Liu W., Et al., Joint SIC and QRD-M tree-search detection algorithms with low complexity in VBLAST systems, Signal Processing, 25, 5, pp. 746-750, (2009)
  • [5] Bai L., Choi J., Partial MAP-based list detection for MIMO systems, IEEE Trans on Vehicular Technology, 58, 5, pp. 2544-2548, (2009)
  • [6] Xiang X., Zhong W., A low complexity viterbi-like detection algorithm based on sorted QR decomposition in V-BLAST system, 4th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1-4, (2008)
  • [7] Baek M.S., Woo M., Lim J.H., Et al., SMLD: Enhanced MIMO-signal detection for wireless MIMO communication receivers, ETRI Journal, 29, 2, pp. 240-242, (2007)
  • [8] Xie Y., Li Q., Costas N.G., On some near optimal low complexity detectors for MIMO fading channels, IEEE Trans on Wireless Communications, 6, 4, pp. 1182-1186, (2007)
  • [9] Lei Z., Dai Y., Sun S., A low complexity near ML V-BLAST algorithm, IEEE Vehicular Technology Conference, pp. 942-946, (2005)