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宽带MIMO系统低复杂度压扩变换Turbo频域均衡

Low complexity Turbo frequency domain equalization with companding-based transformation for broadband MIMO systems
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摘要 针对循环前缀(cyclic prefix,CP)编码单载波(single carrier,SC)空间复用多输入多输出(multipleinput multiple-output,MIMO)系统,基于变分推理,本文提出一种新的低复杂度压扩变换Turbo频域均衡(Turbo frequency domain equalization,TFDE)算法。相对于传统的TFDE算法,文中算法有两点明显不同,一是采用解码器压扩后验信息,计算软输入软输出(soft-in soft-out,SISO)频域均衡器(frequency domain equalizer,FDE)的数据先验均值和方差矩阵,二是采用SISO FDE外部数据均值、方差以及解码器压扩外信息,计算解码器先验信息。分析和仿真结果表明,这种新的TFDE算法在误码率(bit error rate,BER)性能、迭代收敛速度和总体计算复杂度方面均优于传统的MIMO TFDE算法。 A new low complexity Turbo frequency equalization (TFDE) scheme with companding-based transformation is proposed for cyclic prefix (CP) single carrier (SC) spatial multiplexing multiple-input multi pie-output (MIMO) systems based on the variational inference method. Compared to the traditional TFDE method for MIMO systems, the proposed scheme has two distinct features. First, the a priori mean and vari anee matrix of the transmitted data symbols are computed with the companding a posteriori information from the decoder within the soft in soft-out (SISO) frequency domain equalizer (FDE). Second, the a priori information for decoding is calculated by the extrinsic mean and variance of data symbols gleaned from the SIS() FDE and the companding extrinsic information coming from the decoder. Analysis and simulation results demonstrate that the proposed scheme outperforms the traditional MIMO TFDE algorithm in terms of bit error rate (BER) per formance, convergence speed of iteration and the global computational complexity.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2014年第4期758-763,共6页 Systems Engineering and Electronics
基金 国家自然科学基金(61172086)资助课题
关键词 多输入多输出系统 Turbo频域均衡 变分推理 全后验信息反馈 非线性压扩变换 multiplednput muhipleoutput (MIMO) system Turbo frequency domain equalization (TFDE) variational inference full a posteriori information feedback nonlinear companding-based transformation
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参考文献15

  • 1Douillard C, Picart A, Didier P, et al. Iterative correction of in tersymbol interference: turbo equalization[J]. European Trans actions on Telecommunications, 1995, 6(5): 507-511.
  • 2Etzlinger B, Haselmayr W, Springer A. Equalization algorithms for MIMO communication systems based on factor graphs[C]// Proc. of the IEEE International Conference on Comnunica- tions, 2011: 1-5.
  • 3Ttichler M, Singer A. Turbo equalization: an overview[J]. IEEETrans. onlnformation Theory, 2011, 57(2):920-952.
  • 4Yee M S, Sandell M, Sun Y. Comparison study of single carrier and multi-carrier modulation using iterative based receiver for MIMO system[C]//Proc, of the IEEE Vehicular Technology Conference, 2004:1275 - 1279.
  • 5Yuan X J, Guo Q H, Li P. Low complexity iterative detection in multi user MIMO ISI channels[J]. IEEE Sig77al ProeessinIg Letters, 2008, 15:25 - 28.
  • 6Guo Q, Huang D. A concise representation for the soft in soft out LMMSE detector[J]. IEEE Communication Letters, 2011, 15(5):566 - 568.
  • 7Nissilfi M, Pasupathy S. Soft input soft output equalizers for turbo receivers: a statistical physics perspective[J]. IEEE Trans. on Communications, 2007, 55(7) : 1300-1307.
  • 8Vogelbruch F, Haar S. Improved soft ISI cancellation for turbo equalization using full soft output channel decoder's information[C]// Proc. of the IEEE Global Telecomm unications Conference, 2003, 3:1736 - 1740.
  • 9Witzke M, Baro S, Schreckenbach F, et al. Iterative detection of MIMO signals with linear detectors[C]//Proc, of the Asilomar Conference on Signal, Systems and Computers, 2002 : 289 - 293.
  • 10Dai X M. Enhancing the performance of the SIC-MMSE itera- tive receiver for coded MIMO systems via companding [J]. IEEECommunication Letters, 2012, 16(6): 921- 924.

二级参考文献4

  • 1Berrou C. Near shannon limit error-correcting coding and decoding: Turbo-codes[ C] // Glavieuac, P. Thitimajshima. Proc ICC'93. Switzerland, 1993: 1064-1070.
  • 2Hagenauer J. A viterbi algorithm with soft-decision outputs and its applications[C] // Hoeher. Proc. IEEE Globecom. USA, 1989: 1680- 1686.
  • 3Bahl L R, Cocke J, Jelinek F, et al. Optimal decoding of linear codes for minimizing symbol error rate[J].IEEE Trans. Inform. Theory, 1974: 248 - 287.
  • 4Robertson P, Villebrun E, Hoeher P. A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain [J].Proc. IEEE ICC, Seattle, USA, 1995:1009 - 1013.

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