MIMO通信系统中一种新的自适应均衡方法

周亮; 邱玲; 朱近康

MIMO通信系统中一种新的自适应均衡方法

计量
- 文章访问数: 2242
- HTML全文浏览量: 78
- PDF下载量: 930
- 被引次数: 0
出版历程
- 收稿日期: 2005-02-02
- 修回日期: 2005-07-11
- 刊出日期: 2006-10-19

A Novel Adaptive Equalization Algorithm for MIMO Communication System

摘要

摘要: 该文提出了时变频率选择性衰落环境下多输入多输出(MIMO)通信系统中一种新的基于递归最小二乘(RLS)的自适应干扰对消的判决反馈均衡方法(RLS-IC-DFE)。该方法将每个数据子流上的自适应判决反馈均衡器等效为一个加长的新的均衡器，并把已解出的子流数据作为新的输入参数，应用RLS算法自适应调整新的均衡器参数。仿真结果表明，该文提出的自适应干扰对消的判决反馈均衡器可以自适应跟踪信道变化，同时比已有的判决反馈均衡器(RLS-DFE)能提供更好的误符号率(SER)性能。
- 多输入多输出系统; 自适应均衡; 判决反馈均衡; 干扰对消; 递归最小二乘法
Abstract: In this paper, a novel adaptive Interference Cancellation Decision Feedback Equalization algorithm based on Recursive Least Squares (RLS-IC-DFE) is proposed for Multi-Input Multi-Output (MIMO) wireless communication systems under frequency selective with time variation environment. This algorithm changes the equalizer of each sub-stream to an equal new longer equalizer, and takes the sub-streams that have been detected as the new input parameters, then uses RLS algorithm to update the parameters of the new equalizer. Simulation results show that the new adaptive RLS-IC-DFE equalizer can adaptively track the variation of wireless channel and save the overhead of training sequence. At the same time, the proposed scheme can provide the better Symbol Error Rate (SER) performance than the existed RLS-DFE algorithm.

HTML全文

参考文献(1)

Wolniansky P W, Foschini G J, Golden G D, Valenzuela R A. V-BLAST: An architecture for realizing very high data rates over the rich_scattering wireless channel. ISSSE, Pisa, Italy, 1998: 295-300.[2]Alamouti S M. A simple transmit diversity technique for wireless communications, IEEE Journal on Selected Areas in Communications, 1998, 16(8): 1451-1458.[3]Golden G D, Foschini G J, Valenzuela R A, Wolniansky P W. Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture[J].Electron. Letters.1999, 35(1):14-16[4]Xu Zhu, Murch R D. Performance analysis of maximum likelihood detection for a MIMO wireless system[J].IEEE Trans. on Comm.2002, 50(2):187-191[5]Al-Dhahir N, Naguib A F, Calderbank A R. Finite-length MIMO decision feedback equalization for space-time block-codedsignals over multipath-fading channels[J].IEEE Trans. on Vehicular Technology.2001, 50(4):1176-1182[6]Lozano A, Papadias C. Layered space-time receivers for frequency-selective wireless channels[J].IEEE Trans. on Comm.2002, 50(1):65-73[7]Xu Zhu, Murch R D. Layered space-time equalization for wireless MIMO systems[J].IEEE Trans. on Wireless Communications.2003, 2(6):1189-1203[8]Simon Haykin. Adaptive Filter Theory, Fourth Edition, Englewood Cliffs, NJ: Prentice-Hall, 2001, Chapter 9.[9]Komninakis C, Fragouli C, Sayed A H, Wesel R D. Multi-input multi-output fading channel tracking and equalization using Kalman estimation[J].IEEE Trans. on Signal Processing.2002, 50(5):1065-1076[10]Raleigh G, Cioffi J M. Spatio-temporal coding for wireless communications[J].IEEE Trans. on Comm.1998, 46(3):357-366

施引文献

资源附件(0)

访问统计