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干扰对齐的分集检测算法研究 被引量：5

Research on Diversity Detection Algorithm for Interference Alignment
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摘要 为了优化干扰对齐的检测算法,在分析其信号空间特点的基础上,该文提出了分集检测算法。该算法把信号在信号空间中的投影作为检测向量,以达到提高接收信噪比的目的。仿真结果表明与现有算法相比,当干扰对齐条件严格满足时,分集检测算法有明显的增益,而且,分集度越高,增益越显著。 In order to achieve the optimal detection algorithm for interference alignment,a diversity detection algorithm is proposed based on analyzing the feature of signal subspace.In this algorithm,the projection of desired signal onto signal subspace is served as detection vector to maximize received signal-to-noise-ratio.Numerical results show that the proposed algorithm outperforms existing schemes when the interference alignment conditions are satisfied strictly.Furthermore,with the increasing of diversity degree,the benefit of the algorithm becomes more and more obvious.
作者 王勤民 张忠培 结凤克 党志军
机构地区 电子科技大学通信抗干扰技术国家级重点实验室 解放军信息工程大学理学院
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第6期1393-1397,共5页 Journal of Electronics & Information Technology
基金 国家重大科研专项(2010ZX0300304)资助课题
关键词 信号处理 预编码 干扰对齐 分集检测 子空间投影 Signal processing Precoding Interference alignment Diversity detector Subspace projection
分类号 TN911.7 [电子电信—通信与信息系统]
  • 相关文献

参考文献11

  • 1Cadambe V R and Jafar S A. Interference alignment and degrees of freedom of the K-user interference channel[J]. IEEE Transactions on Information Theory, 2008, 54(8): 3425-3441.
  • 2Zheng L and Tse D N C. Diversity and multiplexing: afundamental tradeoff in multiple-antenna channels[J]. IEEE Transactions on Information Theory, 2003, 49(5): 1073-1096.
  • 3Sung H, Park S H, Lee K J, et al.. Linear precoder designs for K-user interference channels[J]. IEEE Transactions on Wireless Communications, 2010, 9(1): 291-301.
  • 4Behrang Nosrat-Makouei, Andrews J G, and Heath R W Jr. User admission in MIMO interference alignment networks [C] 2011 IEEE International Conference on Speech and Signal Processing, Czech Republic, 2011: 3360-3363.
  • 5Nosrat-Makouei B, Andrews J G, and Heath R W. MIMO interference alignment over correlated channels with imperfect CSI[J]. IEEE Transactions on Signal Processing, 2010, 59(6): 2783-2794.
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同被引文献42

  • 1Shen H, Lin B, Luo Y, et al.. Iterative minimum mean square error interference alignment scheme for the MIMO X channel[J]. IEICE Transactions on Communications, 2011, E94-B(5): 1348-1354.
  • 2Nosrat-Makouei B, Andrews J G, and Heath R W. MIMO interference alignment over correlated channels with imperfect CSI[J]. IEEE Transactions on Signal Processing, 2011, 59(6): 2783-2794.
  • 3Meng S, Chunming Z, Xiao L, et al.. Best-effort interference alignment in OFDM systems with finite SNR[C]. 2011 IEEE International Conference on Communications (ICC), Kyoto, June 5-9. 2011: 1-6.
  • 4Peters S W and Heath R W. Cooperative algorithms for MIMO interference channels[J]. IEEE Transactions on Vehicular Technology, 2011, 60(1): 206-218.
  • 5Sung H, Park S H, Lee K J, et al.. Linear precoder designs for K-user interference channels[J]. IEEE Transactions on Wireless Communications, 2010, 9(1): 291-301.
  • 6Gomadam K, Cadambe V R, and Jafar S A. A distributed numerical approach to interference alignment andapplications to wireless interference networks[J]. IEEE Transactions on Information Theory, 2011, 57(6): 3309-3322.
  • 7Bresler G, Caxtwright D, and Tse D. Feasibility of interference alignment for the MIMO interference channel: the symmetric square case[C]. 2011 IEEE Information Theory Workshop (ITW), Paraty, Oct. 16-20, 2011: 447-451.
  • 8Kumar K R and Xue F. An iterative algorithm for joint signal and interference alignment[C]. IEEE International Symposium on Information Theory, Austin, TX, June 13-18, 2010: 2293-2297.
  • 9Tse D and Viswanath P. Fundamentals of Wireless Communication[M]. Cambridge: England, Cambridge University Press, 2005: 356-361.
  • 10Ning H, Ling C, and Leung K K. Feasibility condition for interference alignment with diversity[J]. IEEE Transactions on Information Theory, 2011, 57(5): 2902-2912.

引证文献5

二级引证文献11

电子与信息学报
2012年 第6期

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