Adaptive mixed-norm filtering algorithm based on SαSG noise model

被引:3
作者
Zha, Daifeng [1 ]
Qiu, Tianshuang [1 ]
机构
[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China
关键词
adaptive filtering; alpha-stable distribution; second-order statistics; fractional lower-order statistics; impulsive noise; mixed norm; normalized step-size;
D O I
10.1016/j.dsp.2006.01.002
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The standard mixed-norm filtering algorithm exhibits slow convergence in stable distribution environment, requires a stationary operating environment, and employs a constant step-size that needs to be determined a priori. We proposed a new adaptive mixed moments filtering algorithm based on S alpha SG (symmetry alpha-stable Gaussian) noise model. The simulation experiments show that the proposed algorithm exhibits increased convergence rate and stability performance than the conventional mixed-norm algorithm. (C) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:475 / 484
页数:10
相关论文
共 15 条
  • [1] Arce G, 1997, THESIS U DELAWARE NE
  • [2] Arikan O., 2000, INT C AC SPEECH SIGN, V2, P1400
  • [3] Robust adaptive filtering algorithms for α-stable random processes
    Aydín, G
    Aríkan, O
    Çetin, AE
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1999, 46 (02): : 198 - 202
  • [4] Symmetric alpha-stable filter theory
    Bodenschatz, JS
    Nikias, CL
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (09) : 2301 - 2306
  • [5] Estimation and detection in a mixture of symmetric alpha stable and Gaussian interference
    Brcich, R
    Zoubir, A
    [J]. PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1999, : 219 - 223
  • [6] CHAMBERS J, 1997, IEEE SIGNAL PROCESS, V4, P4
  • [7] CHAMBERS JA, 1994, ELECTRON LETT, V30, P1574, DOI 10.1049/el:19941060
  • [8] Nonlinear decorrelator for multiuser detection in non-Gaussian impulsive environments
    Chuah, TC
    Sharif, BS
    Hinton, OR
    [J]. ELECTRONICS LETTERS, 2000, 36 (10) : 920 - 922
  • [9] CHUAH TC, 2001, IEEE T NEURAL NEWORK, V12
  • [10] ILOW J, 1998, IEEE T COMMUN, V46