基于Hammerstein模型的非线性信道广义线性盲均衡算法

doi:10.3969/j.issn.0372-2112.2015.09.007

电子学报 ›› 2015, Vol. 43 ›› Issue (9): 1723-1731.DOI: 10.3969/j.issn.0372-2112.2015.09.007

基于Hammerstein模型的非线性信道广义线性盲均衡算法

张婷, 王彬, 刘世刚

解放军信息工程大学信息系统工程学院, 河南郑州 450001

收稿日期:2013-12-29 修回日期:2014-07-02 出版日期:2015-09-25
- 通讯作者:
- 王彬
- 作者简介:
- 张婷女,1989出生于河南郑州,解放军信息工程大学硕士研究生,主要研究方向为信道均衡与辨识.E-mail:yiyouyouTT@126.com;刘世刚 男,1972出生于河南开封,工学博士,解放军信息工程大学讲师,主要研究方向为无线通信信号盲接收.E-mail:shigangzy@163.com
- 基金资助:
- 国家自然科学基金 (No.61072046); 河南省基础与前沿基金 (No.1123004100322)

Widely Linear Blind Equalization Algorithms for Nonlinear Channels Based on the Hammerstein Model

ZHANG Ting, WANG Bin, LIU Shi-gang

Communication Engineering College, PLA Information Engineering University, Zhengzhou, Henan 450002, China

Received:2013-12-29 Revised:2014-07-02 Online:2015-09-25 Published:2015-09-25
- Supported by:
- National Natural Science Foundation of China (No.61072046); Basic and Frontier Technology Research Project of Henan Province (No.1123004100322)

摘要/Abstract

摘要：

为了提高非线性信道盲均衡的性能、降低运算复杂度,本文以Hammerstein模型代替传统的Volterra级数模型来模拟非线性信道,利用非线性信道接收信号呈现非圆性的特点,构造了一种新的基于Wiener非线性模型的广义线性盲均衡器,并在常模准则的基础上提出了NCWL-CMA和NCWL-CMA Newton-like两种非线性信道广义线性盲均衡器抽头系数更新算法.理论分析和仿真实验结果表明,与传统盲均衡算法相比,新算法显著地降低了剩余码间干扰,提高了收敛速度.

关键词: 非线性信道, 非圆信号, 盲均衡, 广义线性滤波

Abstract:

In order to improve the performance of nonlinear channel blind equalizers and reduce the complexity,the Hammerstein model is introduced to simulate the nonlinear channel instead of traditional Volterra series model.Then a new nonlinear channel WL blind equalizer based on Wiener model is produced by use of the noncircularity of received signals which are transmitted by nonlinear channels,thus the nonlinear channel WL constant modulus algorithm (NCWL-CMA) and the nonlinear channel WL constant modulus Newton-like algorithm (NCWL-CMA Newton-like) are proposed.Theoretical analysis and simulation results show that the new algorithms can significantly reduce the intersymbol interference and improve the convergence rate in comparison with the traditional blind equalization algorithms.

Key words: nonlinear channel, non-circular signal, blind equalization, widely linear filtering

中图分类号:

TN911.7

张婷, 王彬, 刘世刚. 基于Hammerstein模型的非线性信道广义线性盲均衡算法[J]. 电子学报, 2015, 43(9): 1723-1731.

ZHANG Ting, WANG Bin, LIU Shi-gang . Widely Linear Blind Equalization Algorithms for Nonlinear Channels Based on the Hammerstein Model[J]. Acta Electronica Sinica, 2015, 43(9): 1723-1731.

参考文献

[1] Gao X Y,W M Snelgrove.Adaptive linearization schemes for weakly nonlinear systems using adaptive linear and nonlinear FIR filter[A].Proc of the 33rd Midwest Symposium on Circuits and Systems[C].Calgary,Alberta,Canada:IEEE,1990.9-12.
[2] Singerl P,Koeppl H.A low-rate identification method for digital predistorters based on Volterra kernel interpolation[J].Analog Integrated Circuits and Signal Processing,2008,56(1-2):107-115.
[3] Perez-Cruz F,Murillo-Fuentes J J,Caro S.Nonlinear channel equalization with Gaussian processes for regression[J].IEEE Transactions on Signal Processing,2008,56(10):5283-5286.
[4] 刘顺兰,蒋树南.非线性信道的均衡算法研究[J].电子学报,2010,10(38):2219-2223. Liu Shun-lan,Jiang Shu-nan.Equalization algorithms based on nonlinear channel[J].Acta Electronic Sinica,2010,10(38):2219-2223.(in Chinese)
[5] 刘顺兰,蒋树南.非线性信道LMS Newton均衡算法的研究[J].电路与系统学报,2011,1(16):108-115. Liu Shun-lan,Jiang Shu-nan.Research on nonlinear LMS Newton equalization algorithms[J].Journal of Circuits Systems,2011,1(16):108-115.(in Chinese)
[6] de Aquino F J A,Resende L S,da Rocha C A F.Widely linear adaptive equalization of digital communication channel[J].IEEE Latin America Transactions,2010,8(1):30-37.
[7] Li X L,Adali T.Complex-valued Gaussian signal processing:optimality of MSE,incorporation of full statistics,and a unified view[A].Proceedings of CISS 2011[C].Baltimore,MD:IEEE,2011.1-5.
[8] Adali T,Li H,Aloysius R.On properties of the widely linear MSE filter and its LMS implementation[A].Proceedings of CISS 2009[C].Baltimore,MD:IEEE,2009.876-881.
[9] Johnson R,Schniter P,Endres T J,et al.Blind equalization usingthe constant modulus criterion:A review[J]. Proceedings of IEEE,1998,86(10):1927-1950.
[10] 高鹰,谢胜利.一种变步长LMS自适应滤波算法及分析[J].电子学报,2001,29(8):1-4. Gao Ying,Xie Sheng-li.A variable step size LMS adaptive filtering algorithm and its analysis[J].Acta Electronic Sinica,2001,29(8):1-4.(in Chinense)
[11] Yan Guang-Rong,H Howard Fan.A Newton-like algorithm for complex variables with applications in blind equalization[J].IEEE Transactions on Signal Processing,2000,48(2):553-556.
[12] 阮秀凯,蒋啸,李昌.一种适用于高阶QAM系统Bussgang类盲均衡新方法[J].电子与信息学报,2012,34(8):2018-2022. Ruan Xiu-kai,Jiang Xiao,Li Chang.A novel method of Bussgang-type blind equalization in high-order QAM systems[J].Journal of Electronics & Information Technology,2012,34(8):2018-2022.(in Chinese)

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基于Hammerstein模型的非线性信道广义线性盲均衡算法

Widely Linear Blind Equalization Algorithms for Nonlinear Channels Based on the Hammerstein Model

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