A Log-Frequency Approach to the Identification of the Wiener-Hammerstein Model

被引:15
|
作者
Goodman, Joel [1 ]
Herman, Matthew [1 ]
Bond, Bradley [2 ]
Miller, Benjamin [1 ]
机构
[1] MIT, Lincoln Lab, Lexington, MA 02420 USA
[2] MIT, Cambridge, MA 02139 USA
关键词
Log-frequency; nonlinear system identification; power amplifier modeling; predistortion; Wiener-Hammerstein system;
D O I
10.1109/LSP.2009.2026460
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 this paper we present a simple closed-form solution to the Wiener-Hammerstein (W-H) identification problem. The identification process occurs in the log-frequency domain where magnitudes and phases are separable. We show that the theoretically optimal W-H identification is unique up to an amplitude, phase and delay ambiguity, and that the nonlinearity enables the separate identification of the individual linear time invariant (LTI) components in a W-H architecture.
引用
收藏
页码:889 / 892
页数:4
相关论文
共 50 条
  • [31] Identification of Hammerstein-Wiener system with application to compensation for nonlinear distortion
    Sano, A
    Sun, LM
    SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 2002, : 1521 - 1526
  • [32] Subspace-based identification algorithms for Hammerstein and Wiener models
    Gómez, JC
    Baeyens, E
    EUROPEAN JOURNAL OF CONTROL, 2005, 11 (02) : 127 - 136
  • [33] Parameter estimation of Wiener-Hammerstein system based on multi-population self-adaptive differential evolution algorithm
    Chu, Jie
    Li, Junhong
    Jiang, Yizhe
    Song, Weicheng
    Zong, Tiancheng
    ENGINEERING COMPUTATIONS, 2023, 40 (9/10) : 2248 - 2269
  • [34] Identification of Hammerstein-Wiener models using Hamiltonian Monte Carlo
    Holdsworth, James R. Z.
    Wills, Adrian G.
    IFAC PAPERSONLINE, 2024, 58 (15): : 456 - 461
  • [35] Convergence of fixed-point iteration for the identification of Hammerstein and Wiener systems
    Li, Guoqi
    Wen, Changyun
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2013, 23 (13) : 1510 - 1523
  • [36] Decomposition-based recursive least-squares parameter estimation algorithm for Wiener-Hammerstein systems with dead-zone nonlinearity
    Li, Linwei
    Ren, Xuemei
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (11) : 2405 - 2414
  • [37] Self-error learning framework-based algorithm for parameter recovery of extended Wiener-Hammerstein systems subject to quantised measurements
    Cao, Haozhe
    Li, Lihua
    Feng, Yunduo
    Li, Linwei
    ISA TRANSACTIONS, 2024, 150 : 374 - 387
  • [38] Identification of Hammerstein Model Based on Wavelet Transform
    Li Zhen-Qiang
    Luo Wen-Guang
    Pan Sheng-Hui
    Lin Chuan
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 1519 - 1524
  • [39] Hammerstein model identification method based on genetic programming
    Hatanaka, T
    Uosaki, K
    PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2001, : 1430 - 1435
  • [40] An Identification Algorithm for Hammerstein-Wiener System with Dead Zone Input Nonlinearity Using Gradient Method
    Hong, HyokChan
    Mao, Zhizhong
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 2511 - 2514