Adaptive Reduced-Rank Linear Equalization of Multiple Input Multiple Output Frequency Selective Channels Based on Multistage Wiener Filter

任品毅; 权良辉

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Adaptive Reduced-Rank Linear Equalization of Multiple Input Multiple Output Frequency Selective Channels Based on Multistage Wiener Filter

更新时间：2025-12-08

- Adaptive Reduced-Rank Linear Equalization of Multiple Input Multiple Output Frequency Selective Channels Based on Multistage Wiener Filter
- Vol. 42, Issue 2, Pages: 218-221+260(2008)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911
- Online First：10 February 2008，
  
  Published：2008
- 稿件说明：
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任品毅, 权良辉. Adaptive Reduced-Rank Linear Equalization of Multiple Input Multiple Output Frequency Selective Channels Based on Multistage Wiener Filter[J]. 2008, 42(2): 218-221+260.
DOI：

任品毅, 权良辉. Adaptive Reduced-Rank Linear Equalization of Multiple Input Multiple Output Frequency Selective Channels Based on Multistage Wiener Filter[J]. 2008, 42(2): 218-221+260. DOI：

摘要

基于多级维纳滤波器

提出了一种多输入多输出系统中的降秩自适应均衡算法.该算法利用多级维纳滤波器得到一组子空间基向量

通过子空间投影

把均衡器输出限定在低维子空间内

从而降低了自适应均衡的迭代复杂度

加快了收敛速度.理论分析和仿真表明

降秩均衡算法有效地提高了均衡器的收敛速度

降低了计算复杂度

并在多级维纳滤波器的级数不超过10的情况下

就能达到近似满秩均方误差性能.

Abstract

Based on multistage Wiener filter

an reduced-rank adaptive equalizer for multiple input multiple output systems was proposed. The proposed algorithm uses the multistage Wiener filter to compute the base vectors of a subspace

and the output of the equalizer is then restricted in the lower-dimensional subspace by projecting input vectors into the subspace. Thus

the computational complexity is reduced and the convergence rate is increased. Theoretical analysis and simulation results show that the convergence rate of the proposed method is significantly faster and the computational complexity is much lower than existing adaptive algorithms. The proposed algorithm can achieve near full-rank mean square error performance with filter rank no more than 10.

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references

GOLDSTEIN J S, REED I S. Reduced rank adaptive filtering [J]. IEEE Transaction on Signal Processing, 1997, 45(2): 429-496.

GOLDSTEIN J S, REED I S, SCHARF L L. A multistage representation of the Wiener filter based on orthogonal projections [J]. IEEE Transaction on Information Theory, 1998, 44(7): 2943-2959.

HONIG M L, XIAO Weimin. Performance of reduced-rank linear interference suppression [J]. IEEE Transaction on Information Theory, 2001, 47(5): 1928-1946.

HONIG M L, GOLDSTEIN J S. Adaptive reduced-rank interference suppression based on the multistage wiener filter [J]. IEEE Transaction on Communications, 2002, 50(6): 986-994.

CHOWDHURY S, ZOLTOWSKI M D, GOLDSTEIN J S. Reduced-rank adaptive MMSE equalization for the forward link in high-speed CDMA[C]∥Conference Record of the 43rd Midwest Circuits and Systems Conference, Piscataway, USA:IEEE, 2000:6-9

DLETL G, MENSING C, UTSCHICK W, et al. Multi-stage MMSE decision feedback equalization for Edge [C]∥Proceedings of. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing. Piscataway, USA: IEEE, 2003: 509-512.

SUN Y, HONIG M L. Performance of reduced-rank equalization [J]. IEEE Transactions on Information Theory, 2006, 52(10): 4548-4562.

LARSSON E G, STOICA P. 无线通信中的空时分组编码 [M].任品毅, 译.西安:西安交通大学出版社,2006:13.

张贤达.矩阵分析与应用[M].北京:清华大学出版社,2004:317-541.

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