Low-complexity variable step-size sign algorithm based on Weibull distribution function

Rui ZHANG; Guchen SHI; Banteng LIU; Yourong CHEN

doi:10.11959/j.issn.1000-0801.2018223

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Low-complexity variable step-size sign algorithm based on Weibull distribution function

research and development | 更新时间：2024-06-05

- Low-complexity variable step-size sign algorithm based on Weibull distribution function
- Telecommunications Science Vol. 34, Issue 9, Pages: 87-96(2018)
- 作者机构：
  
  1. 浙江树人大学信息科技学院，浙江杭州 310015
  2. 杭州中威电子股份有限公司，浙江杭州 310012
  3. 常州大学信息科学与工程学院，江苏常州 213164
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018223
  CLC： TN929.5
- Published Online：2018-09，
  
  Published：20 September 2018
- 稿件说明：
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Rui ZHANG, Guchen SHI, Banteng LIU, et al. Low-complexity variable step-size sign algorithm based on Weibull distribution function[J]. Telecommunications science, 2018, 34(9): 87-96.
DOI：

Rui ZHANG, Guchen SHI, Banteng LIU, et al. Low-complexity variable step-size sign algorithm based on Weibull distribution function[J]. Telecommunications science, 2018, 34(9): 87-96. DOI： 10.11959/j.issn.1000-0801.2018223.

摘要

针对OFDM系统中传统信道估计算法在冲击噪声环境中性能急剧下降的问题，提出了一种基于韦伯分布函数的顽健型变步长符号算法进行信道估计。在深入研究冲击噪声特性及韦伯分布函数性质的基础上，提出了采用估计误差绝对值的韦伯分布函数控制步长的低复杂度变步长符号算法。该算法在利用传统符号算法顽健性的基础上，采用估计误差的韦伯分布函数动态地改变迭代符号算法的步长，从而能够以较低的复杂度提高变步长符号算法在冲击噪声环境中的收敛速度。算法复杂度分析及仿真结果表明，在冲击噪声环境下所提算法相较于传统自适应滤波信道估计算法能够以更低的复杂度、更快的收敛速度达到相同的信道估计均方误差。

Abstract

The performance of the traditional second-order statistics based channel estimation methods degrade seriously in the presence of impulsive noises.In order to deal with this problem

a Weibull distribution function based variable step-size sign algorithm for channel estimation under impulsive noises was proposed.The proposed method was robust against impulsive noises and it could improve the convergence speed of the sign algorithm with the Weibull distribution function based variable step-size method.Computational complexity analysis and simulation results demonstrate that the proposed algorithm can achieve the same steady-state estimation error with faster convergence speed and lower computational complexity.

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references

沈洁 . 第5代移动通信系统展望 [J ] . 电信科学 , 2013 , 29 ( 9 ): 98 - 101 .

SHEN J . Prospect of the fifth-generation mobile communication system [J ] . Telecommunications Science , 2013 , 29 ( 9 ): 98 - 101 .

刘磊 . OFDM 系统中基于循环结构的参数估计方法 [D ] . 南京:东南大学 , 2016 .

LIU L . Research on parameter estimation based on cyclic prefix in OFDM systems [D ] . Nanjing:Southeast University , 2016 .

熊鑫 . 大规模MIMO与OFDM无线通信信道信息获取理论方法研究 [D ] . 南京:东南大学 , 2017 .

XIONG X . Channel estimation for massive MIMO and OFDM wireless communication systems [D ] . Nanjing:Southeast University , 2017 .

刘顺兰 , 汪佳丽 . 快时变OFDM系统中非采样间隔信道的信道估计 [J ] . 电信科学 , 2015 , 31 ( 9 ): 112 - 117 .

LIU S L , WANG J L . New channel estimation algorithm for non-sample-spaced channels in fast time-varying OFDM system [J ] . Telecommunications Science , 2015 , 31 ( 9 ): 112 - 117 .

赖晓阳 , 朵琳 . OFDM 系统中一种实用的干扰抑制信道估计算法 [J ] . 电信科学 , 2016 , 32 ( 1 ): 88 - 92 .

LAI X Y , DOU L . Utility channel estimation algorithm with interference suppression in OFDM system [J ] . Telecommunications Science , 2016 , 32 ( 1 ): 88 - 92 .

JANJAAP V D B , EDFORS O , SANDELL M , et al . On channel estimation in OFDM systems [C ] // Vehicular Technology Conference,July 25-28,1995,Chicago,USA . Piscataway:IEEE Press , 1995 : 815 - 819 .

SCHAFHUBER D , MATZ G , HLAWATSCH F , et al . MMSE estimation of time-varying channels for DVB-T systems with strong co-channel interference [C ] // Signal Processing Conference,September 4-8,2002,Antalya,Turkey . Piscataway:IEEE Press , 2002 : 1 - 4 .

EDFORS O , SANDELL M , JAN-JAAP V D B , et al . OFDM channel estimation by singular value decomposition [J ] . IEEE Transactions on Communications , 1996 , 46 ( 1 ): 931 - 939 .

KANG Y , KIM K , PARK H . Efficient DFT-based channel estimation for OFDM systems on multipath channels [J ] . Communications IET , 2007 , 1 ( 2 ): 197 - 202 .

YEH Y H , CHEN S G . DCT-based channel estimation for OFDM systems [C ] // IEEE International Conference on Communications,June 20-24,2004,Paris,France . Piscataway:IEEE Press , 2004 : 2442 - 2446 .

梁永明 , 罗汉文 , 黄建国 . MIMO-OFDM 系统中一种基于自适应滤波的信道估计方法 [J ] . 电子与信息学报 , 2007 , 29 ( 2 ): 310 - 313 .

LIANG Y M , LUO H W , HUANG J G . A method of channel estimation based on adaptive filtering in MIMO-OFDM systems [J ] . Journal of Electronics ＆ Information Technology , 2007 , 29 ( 2 ): 310 - 313 .

GUI G , XU L , ADACHI F . Normalized least mean square-based adaptive sparse filtering algorithms for estimating multiple-input multiple-output channels [J ] . Wireless Communications ＆ Mobile Computing , 2015 , 15 ( 6 ): 1079 - 1088 .

曲桦 , 杨跃 , 赵季红 , 等 . 顽健变步长符号算法在稀疏信道估计中的应用 [J ] . 北京邮电大学学报 , 2017 , 40 ( 3 ): 110 - 113 ,120.

QU H , YANG Y , ZHAO J H , et al . Application of robust variable step-size sign algorithm in sparse channel estimation [J ] . Journal of Beijing University of Posts and Telecom , 2017 , 40 ( 3 ): 110 - 113 ,120.

李明富 , 廖勇 , 沈轩帆 . 基于扩展卡尔曼滤波的 MIMO 迭代信道估计方法 [J ] . 电信科学 , 2017 , 33 ( 9 ): 100 - 107 .

LI M F , LIAO Y , SHEN X F . MIMO iterative channel estimation based on extended Kalman filter [J ] . Telecommunications Science , 2017 , 33 ( 9 ): 100 - 107 .

TSIHRINTZIS G A , NIKIAS C L . Incoherent receivers in alpha-stable impulsive noise [J ] . IEEE Transactions on Signal Processing , 2002 , 43 ( 9 ): 2225 - 2229 .

PARK J , SHEVLYAKOV G , KIM K . Maximin distributed detection in the presence of impulsive alpha-stable noise [J ] . IEEE Transactions on Wireless Communications , 2011 , 10 ( 6 ): 1687 - 1691 .

SHAO M , NIKIAS C L . Signal processing with fractional lower order moments:stable processes and their applications [J ] . Proceedings of the IEEE , 1993 , 81 ( 7 ): 986 - 1010 .

KWONG C . Dual sign algorithm for adaptive filtering [J ] . IEEE Transactions on Communications , 1986 , 34 ( 12 ): 1272 - 1275 .

SHAO T , ZHENG Y R , BENESTY J . An affine projection sign algorithm robust against impulsive interferences [J ] . IEEE Signal Processing Letters , 2010 , 17 ( 4 ): 327 - 330 .

LI Y P , LEE T S , WU B F . A variable step-size sign algorithm for channel estimation [J ] . Signal Processing , 2014 ( 102 ): 304 - 312 .

YOO J W , SHIN J , PARK P G . Variable step-size sign algorithm against impulsive noises [J ] . Signal Processing Letters , 2015 , 9 ( 6 ): 506 - 510 .

LINDE W . Stable non-Gaussian random processes:stochastic models with infinite variance [J ] . Bulletin of the London Mathematical Society , 1995 , 28 ( 430 ).

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