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MIMO系统中一种子空间追踪的盲空时多用户检测方法 被引量：2

Subspace-Based Blind Space-Time Multiuser Detection in MIMO System
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摘要 文章提出在空时分组编码的MIMO系统中利用OPAST这种子空间追踪算法进行盲空时多用户检测。仿真结果表明,这种子空间追踪算法可以联合实现平坦瑞利衰落信道估计和空时多用户检测。针对不同的空时分组编码的MIMO通信系统模型,这种盲自适应空时多用户检测方法可以抵抗严重的远近效应和抑制多址干扰,并具有很好的动态跟踪能力。 In this paper, the orthogonal projection approximation subspace tracking （OPAST） is employed for channel estimation and space-time multiuser detection in space-time block coded MIMO system. Simulation results show that the blind adaptive space-time multiuser detection can resist severe near-far effect and cancel multiple access interference （MAI）. In addition, the method has a better tracking performance in MIMO system.
作者 单红梅 陈琳
机构地区 上海电力学院计算机与信息工程学院
出处 《通信技术》 2008年第8期79-80,83,共3页 Communications Technology
基金 上海市重点学科建设项目资助(P1303) 上海市青年科技启明星计划(06QA14023) 上海市教育发展基金会晨光计划(2007CG66)
关键词 MIMO 子空间追踪 OPAST MIMO subspace tracking OPAST
分类号 TN91 [电子电信—通信与信息系统]
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参考文献7

  • 1Wang Xiaodong, Poor H V. Blind multiuser detection: a subspace approach[J]. IEEE Transactions on Information Theory, March 1998, 44(2):677-690.
  • 2Bischof C H, Shro G M. On updating signal subspaces[J]. IEEE Trans. Sig. Proc., Jan. 1992, 40(1): 96-105.
  • 3DeGroat R D. Noniterative subspace tracking[J]. IEEE Trans. Sig. Proc., Mar. 1992,40(3): 571 - 577.
  • 4Real E C, Tufts D W, Cooley J W. Two algorithms for fast approximate subspace tracking[J]. IEEE Trans. Signal Proc., July 1999,47(7):1936 - 1945.
  • 5Yang B. An extension of the PASTd algorithm to both rank and subspace tracking[J].IEEE Sig. Proc. Let., Sep. 1995, 2(9):179- 182.
  • 6Chkeif A, Abed-Meraim K, Kawas-Kaleh G, et al. Spatio-temporal blind adaptive multiuser detection[J]. IEEE Transactions on Communications, May 2000, 48(5): 729- 732.
  • 7Reynolds O, Wang Xiaodong, Poor H Y. Blind adaptive space-time multiuser detection with multiple transmitter and receiver antennas[J]. IEEE Transactions on Signal Processing, Jun. 2002, 50(6): 1261-1276.

同被引文献15

  • 1Hochwald B M,Brink S T.Achieving Near-Capacity on a Multi-pleAntenna Channel[J].IEEE Transaction on Commnication,2003,51(03):389-399.
  • 2Burg A,Borgmann M,Zellwegger M.VLSI Implementation of MIMO Detection Using the Sphere Decoding Algorithm[J].IEEE J.Solid-State Circuits,2005,40(07):1566-1577.
  • 3Hassibi B,Vikalo H.on the Sphere-Decoding Algorithm I.Expected Complexity[J].IEEE Transaction on Signal Processing,2005,53(08):2806-2818.
  • 4Razavizadeh M.Vakili T.A New Sphere Decoder for MIMO System[J].IEEE Trans.Inform.Theory,2004,50(04):1639-1642.
  • 5D Reynolds, X Wang, H V Poor. Blind Adaptive Space-Time Multiuser Detection With Multiple Transmitter and Receiver Antennas [J]. IEEE Transactions on Signal Processing, 2002, 50(6): 1261-1276.
  • 6T J Willink. Efficient Adaptive SVD Algorithm for MIMO Applications [J]. IEEE Transactions on Signal Processing, 2008, 56(2): 615-622.
  • 7J L Yu, I T Lee. MIMO Capon Receiver and Channel Estimation for Space-Time Coded CDMA Systems [J]. IEEE Transactions on Wireless Communications, 2006, 5(11): 3023-3028.
  • 8J Wang, O Y Wen, S Li. Soft-Output MMSE MIMO Detector Under ML Channel Estimation and Channel Correlation [J]. IEEE Signal Processing Letters, 2009, 16(8): 667-670.
  • 9Y H Kho, D P Taylor. MIMO Channel Estimation and Tracking Based on Polynomial Prediction With Application to Equalization [J]. IEEE Transaetians on Vehicular Technology, 2008, 57(3): 1585-1595.
  • 10Y H Kho, D P Taylor. MIMO Receiver Using Reduced Complexity Sequence Estimation With Channel Estimation and Tracking [J]. IEEE Transactions on on Vehicular Technology, 2009, 58(2): 682-691.

引证文献2

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通信技术
2008年 第8期

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