脉冲噪声下基于Renyi熵的分数低阶双模盲均衡算法

马济通; 邱天爽; 李蓉; 夏楠; 李景春

doi:10.11999/JEIT170366

脉冲噪声下基于Renyi熵的分数低阶双模盲均衡算法

doi: 10.11999/JEIT170366

1.
(大连理工大学电子信息与电气工程学部大连 116024) ②(国家无线电监测中心北京 100037)

基金项目:

国家自然科学基金(61671105, 61139001, 61172108, 81241059)

计量
- 文章访问数: 1449
- HTML全文浏览量: 177
- PDF下载量: 154
- 被引次数: 0
出版历程
- 收稿日期: 2017-04-24
- 修回日期: 2017-07-27
- 刊出日期: 2018-02-19

Dual-mode Blind Equalization Algorithm Based on Renyi Entropy and Fractional Lower Order Statistics Under Impulsive Noise

1.
(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China)
2.
(State Radio Monitoring Center, Beijing 100037, China)

Funds:

The National Natural Science Foundation of China (61671105, 61139001, 61172108, 81241059)

摘要

摘要: 针对脉冲噪声下盲均衡器难以快速收敛并有效抑制噪声的问题，该文提出一种基于Renyi熵的分数低阶双模盲均衡算法。该算法将Renyi熵与分数低阶统计量相结合并用作代价函数来更新盲均衡器权向量，利用Renyi熵提高算法的收敛速度，利用分数低阶统计量增强算法对脉冲噪声的抑制能力。为了提升系统稳健性，该文进一步提出双阈值加权判决法，通过设置双阈值并引入非线性加权函数，使得两种代价函数之间的切换更为平滑。在不同脉冲性噪声、不同信道环境下进行仿真实验，结果表明，该文算法既能有效抑制脉冲噪声，又具有较快的收敛速度。
- 脉冲噪声 /
- 盲均衡 /
- Renyi熵 /
- 分数低阶统计量
Abstract: To improve the convergence speed and noise suppression effects of blind equalizer under impulsive noise environment, a new dual-mode blind equalization algorithm based on Renyi entropy and fractional lower order statistics is presented. Renyi entropy and fractional lower order statistics are combined as cost functions to update the weight coefficients of the equalizer in this method, which can improve the convergence speed and enhance the ability of suppressing impulse noise. In addition, considering the robustness of system, a double-threshold based weighting decision method is proposed. By setting double thresholds and a nonlinear weighting function, the switching between two cost functions become smooth. Simulation experiments are carried out under different impulse noise and different channel conditions. The results show that the algorithm converges faster and suppresses impulse noise effectively at the same time.
- Impulsive noise /
- Blind equalization /
- Renyi entropy /
- Fractional lower order statistics

HTML全文

参考文献(28)

AZIM A W, ABRAR S, ZERGUINE A, et al. Performance analysis of a family of adaptive blind equalization algorithms for square-QAM[J]. Digital Signal Processing, 2016, 48(C): 163-177. doi: 10.1016/j.dsp.2015.09.002.

SCARANO G, PETRONI A, BIAGI M, et al. Second order statistics driven LMS blind fractionally spaced channel equalization[J]. IEEE Signal Processing Letters, 2017, 24(2): 161-165. doi: 10.1109/LSP.2016.2635034.

DAS R L and NARWARIA M. Lorentzian based adaptive filters for impulsive noise environments[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2017, 64(6): 1529-1539. doi: 10.1109/TCSI.2017.2667705.

LUAN S, QIU T, ZHU Y, et al. Cyclic correntropy and its spectrum in frequency estimation in the presence of impulsive noise[J]. Signal Processing, 2016, 120: 503-508. doi: 10.1016/ j.sigpro.2015.09.023.

PELEKANAKIS K and CHITRE M. Adaptive sparse channel estimation under symmetric alpha-stable noise[J]. IEEE Transactions on Wireless Communications, 2014, 13(6): 3183-3195. doi: 10.3390/a9030054.

黄焱, 邱钊洋, 欧阳喜. 基于星座软信息的猝发信号盲均衡算法[J]. 电子与信息学报, 2017, 39(3): 568-574. doi: 10.11999 /JEIT160420.

HUANG Yan, QIU Zhaoyang, and OUYANG Xi. Blind equalization for burst signals based on soft information of constellation[J]. Journal of Elestronics Information Technology, 2017, 39(3): 568-574. doi: 10.11999/JEIT160420.

马思扬, 彭华, 王彬. 适用于稀疏多径信道的稀疏自适应常模盲均衡算法[J]. 通信学报, 2017, 38(1): 149-157. doi: 10.11959 /j.issn.1000-436x.2017017.

MA Siyang, PENG Hua, and WANG Bin. Sparse adaptive constant blind equalization algorithm for sparse multipath channel[J]. Journal on Communications, 2017, 38(1): 149-157. doi: 10.11959/j.issn.1000-436x.2017017.

SCARANO G, PETRONI A, BIAGI M, et al. Second-order statistics driven LMS blind fractionally spaced channel equalization[J]. IEEE Signal Processing Letters, 2017, 24(2): 161-165. doi: 10.1109/LSP.2016.2635034.

RUPI M, TSAKALIDES P, Re E D, et al. Constant modulus blind equalization based on fractional lower-order statistics[J]. Signal Processing, 2004, 84(5): 881-894. doi: 10.1016/j.sigpro. 2004.01.006.

LI S and QIU T S. Tracking performance analysis of fractional lower order constant modulus algorithm[J]. Electronics Letters, 2009, 45(11): 545-546. doi: 10.1049/ el.2009.0561.

LI Sen, WANG Yan, and LIN Bin. Concurrent blind channel equalization in impulsive noise environments[J]. Chinese Journal of Electronics, 2013, 22(4): 741-746.

SANTAMATIA I, ERDGMUS D, and PRINCIPE J C. Entropy minimization for supervised digital communications channel equalization[J]. IEEE Transactions on Signal Processing, 2002, 50(5): 1184-1192. doi: 10.1109/78.995074.

张银兵, 赵俊渭, 李金明, 等. 基于Renyi熵的水声信道判决反馈盲均衡算法研究[J]. 电子与信息学报, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056.

ZHANG Yinbing, ZHAO Junwei, LI Jinming, et al. Decision feedback blind equalization algorithm based on RENYI entropy for underwater acoustic channels[J]. Journal of Elestronics Information Technology, 2009, 31(4): 911-915. doi: 10.3724/SP.J.1146.2008.00056.

郭业才, 龚秀丽, 张艳萍. 基于样条函数Renyi熵的时间分集小波盲均衡算法[J]. 电子与信息学报, 2011, 33(9): 2050-2055. doi: 10.3724/SP.J.1146.2011.00110.

GUO Yecai, GONG Xiuli, and ZHANG Yanping. Spline function Renyi entropy based tme diversity wavelet blind equalization algorithm[J]. Journal of Elestronics Information Technology, 2011, 33(9): 2050-2055. doi: 10.3724 /SP.J.1146.2011.00110.

FKI S, MESSAI M, AISSA-EL-BEY A, et al. Blind equalization based on pdf fitting and convergence analysis[J]. Signal Processing, 2014, 101: 266-277. doi: 10.1016/j.sigpro. 2014.02.009.

邱天爽, 戚寅哲. 稳定分布噪声下基于粒子滤波的双站伪多普勒定位方法[J]. 通信学报, 2016, 37(1): 28-34. doi: 10.11959 /J.ISSN.1000-436x.2016004.

QIU Tianshuang and QI Yinzhe. Dual-station pseudo- doppler localization method based on particle filtering with stable distribution noise[J]. Journal on Communications, 2016, 37(1): 28-34. doi: 10.11959/J.ISSN.1000-436x.2016004.

宋爱民. 稳定分布噪声下时延估计与波束形成新算法[D]. [博士论文], 大连理工大学, 2015.

SONG Aimin. New algorithms for time delay estimation and beamforming under stable distribution Noise[D]. [Ph.D. dissertation], Dalian University of Technology, 2015.

PRINCIPE J C, XU D, ZHAO Q, et al. Learning from examples with information theoretic criteria[J]. Journal of VLSI Signal Processing, 2000, 26(1): 61-77. doi: 10.1023/A: 1008143417156.

李进, 冯大政, 刘文娟. 快速 QAM 信号多模盲均衡算法[J]. 电子与信息学报, 2013, 35(2): 273-279. doi: 10.3724/SP.J. 1146.2012.00609.

LI Jin, FENG Dazheng, and LIU Wenjuan. A fast multimodulus blind equalization algorithm for QAM signal[J]. Journal of Elestronics Information Technology, 2013, 35(2): 273-279. doi: 10.3724/SP.J.1146.2012.00609.

张银兵, 赵俊渭, 郭业才, 等. 抑制稳定噪声的改进常数模盲均衡算法[J]. 西北工业大学学报, 2010, 28(2): 202-206.

ZHANG Yinbing, ZHAO Junwei, GUO Yecai, et al. Improving AECCMA for blind equalization to make it suitable in noise[J] Journal of Northwestern Polytechnical University, 2010, 28(2): 202-206.

施引文献

资源附件(0)

访问统计