A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm

被引：5
|
作者：
Coelho Amara, Luis Fernando [1 ]
Lopes, Marcus Vinicius [1 ]
Barros, Allan Kardec [1 ]
机构：
[1] Univ Fed Maranhao, Dept Elect Engn, BR-65080805 Sao Luis, Brazil
来源：
IEEE SIGNAL PROCESSING LETTERS | 2018年 / 25卷 / 10期
关键词：
Extended recursive least-squares (EX-RLS) algorithm; nonquadratic function; recursive filter adaptive; tracking performance; PARAMETER-ESTIMATION; GRADIENT ALGORITHM; NONLINEAR-SYSTEMS;
D O I：
10.1109/LSP.2018.2864609
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：
In adaptiveg filters, several recursive algorithms have been used to track state-space model vectors in nonstationary environments. So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to propose an algorithm based on a nonlinear function of the error, motivated by the extended recursive least-squares algorithm. Simulations were performed on the problem of tracking a nonlinear Rayleigh fading multipath channel and on a system identification. The results showed that the proposed algorithm can overcome the extended kernel version ones.
引用
收藏
页码：1535 / 1539
页数：5
相关论文
共 50 条
  • [31] SELFPERTURBING RECURSIVE LEAST-SQUARES ALGORITHM WITH FAST TRACKING CAPABILITY
    PARK, DJ
    JUN, BE
    [J]. ELECTRONICS LETTERS, 1992, 28 (06) : 558 - 559
  • [32] MODIFIED RECURSIVE LEAST-SQUARES ALGORITHM FOR PARAMETER-IDENTIFICATION
    CHEN, YM
    WU, YC
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1992, 23 (02) : 187 - 205
  • [33] ANALYSIS OF A RECURSIVE LEAST-SQUARES SIGNAL-PROCESSING ALGORITHM
    LUK, FT
    QIAO, SZ
    [J]. SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1989, 10 (03): : 407 - 418
  • [34] RECTANGULAR CONSTELLATION-BASED BLIND EQUALIZATION WITH RECURSIVE LEAST-SQUARES ALGORITHM
    Alhava, Juuso
    Renfors, Markku
    [J]. SIPS: 2009 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS, 2009, : 208 - 213
  • [35] Extended recursive least squares algorithm for nonlinear Stochastic systems
    Chen, HX
    [J]. PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 4758 - 4763
  • [36] On the hierarchical least-squares algorithm
    Stoica, P
    Agrawal, M
    Åhgren, P
    [J]. IEEE COMMUNICATIONS LETTERS, 2002, 6 (04) : 153 - 155
  • [37] Low-Complexity Implementation of the Constrained Recursive Least-Squares Algorithm
    Arablouei, Reza
    Dogancay, Kutluyil
    [J]. 2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
  • [38] A RECURSIVE MODIFIED GRAM-SCHMIDT ALGORITHM FOR LEAST-SQUARES ESTIMATION
    LING, FY
    MANOLAKIS, D
    PROAKIS, JG
    [J]. IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1986, 34 (04): : 829 - 836
  • [39] Low-Complexity Recursive Least-Squares Adaptive Algorithm Based on Tensorial Forms
    Ficiu, Ionut-Dorinel
    Stanciu, Cristian-Lucian
    Anghel, Cristian
    Elisei-Iliescu, Camelia
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (18):
  • [40] On bias compensated recursive least-squares algorithm for FIR adaptive filtering
    Jia, LJ
    Jin, CZ
    Wada, K
    [J]. ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING 2001, 2002, : 347 - 352
12345