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一种基于矩阵外积分解的信道盲辨识与盲均衡算法 被引量：1

A Blind Channel Identification and Equalization Algorithm Based on Matrix Outer-Product Decomposition Algorithm
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摘要 本文提出了一种鲁棒性较好的信道盲辨识和盲均衡算法。在仅需知道信道阶数上界的条件下,首先采用改进的信道阶数估计算法对信道阶数进行精确估计,与现有算法相比,所需信噪比降低、对信道的适应性提高;然后,在矩阵外积分解算法的基础上,加入特征值扰动分析,提高了信道盲辨识和盲均衡性能。仿真结果证明了算法的有效性。 This paper proposes a robust blind channel identification and equalization algorithm. The channel order is estimated exactly first by the improved estimation method on the condition that the channel order upper bounder is known, compared with the existing methods, which works well on lower SNR in more channels. Then, the eigenvalue perturbation analysis is been done on the basis of matrix outer-product decomposition to get the more superior performance of channel blind identification and equalization. Simulation results prove the efficiency of the new identification algorithm.
作者 王彬 葛临东 刘媛涛
机构地区 解放军信息工程大学信息工程学院
出处 《信号处理》 CSCD 北大核心 2008年第5期839-844,共6页 Journal of Signal Processing
基金 部级预研项目(6130320)
关键词 盲辨识 盲均衡 矩阵外积分解 信道阶数估计 扰动 blind identification blind equalization matrix outer-product decomposition channel order estimation perturbation
分类号 TN914.53 [电子电信—通信与信息系统] TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献10

  • 1L. Tong, G. Xu and T. Kailath, Blind identification andequalization based on SOS:a time domain approach [ J ]. IEEE Trans. on Information Theory, 1994, vol. go, no. 3, pp. 340-349.
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同被引文献8

  • 1Moulines E., Duhamel P., Cardoso J.-F. and Mayrargue S. Subspace methods for the blind identification of multichannel FIR Filters [ J ]. IEEE Trans. on Signal Processing, 1995, 43(2): 516-525.
  • 2Karim A. -M. , Moulines E. and Loubaton P., Prediction error method for second-order blind identification [ J ]. IEEE Trans. Signal Processing, 1997, 45(3) : 694-705.
  • 3Zhi Ding, Matrix outer product decomposition method for blind multiple channel identification [ J ]. IEEE Trans. Signal Processing, 1997, 45 (2) : 3053-3061.
  • 4Liavas A. P., Regalia P. A. and Delmas J. -P. Blind channel approximation: Effective channel order determination [J]. IEEE Trans. Signal Processing, 1999, 47 (12) : 3336-3344.
  • 5Liavas A.P., Regalia P. A. and Delmas J. -P. Robustness of least-squares and subspace methods for blind channel identification/equalization with respect to effective channel undermodeling/overmodeling[ J]. IEEE Trans. Signal Processing, 1999, 47(6): 1636-1645.
  • 6Liavas A. P., Regalia P.A. and Delmas J. -P. On the robustness of the linear prediction method for blind channel identification with respect to effective channel undermodeling/overmodeling, IEEE Trans. Signal Processing, 2000, 48(5) : 1477-1481.
  • 7Javier Vfa, Ignacio Santamaria and Jestus Perez. Effective channel order estimation based on combined identification/equalization[ J ]. IEEE Trans. on Signal Processing, 2006, 54(9) : 3518-3526.
  • 8Rice university. Signal Processing Information Base [ DB/ OL]. http :////spib. rice. edu/spib/microwave, html.

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信号处理
2008年 第5期

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