An Iterative Algorithm for Microwave Tomography Using Modified Gauss-Newton Method

被引：0
|
作者：
Kundu, A. K. [1 ]
Bandyopadhyay, B. [1 ]
Sanyal, S. [2 ]
机构：
[1] Univ Calcutta, Inst Radiophys & Elect, Kolkata, India
[2] Sch Technol & Comp Sci, Bombay, Maharashtra, India
来源：
4TH KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2008, VOLS 1 AND 2 | 2008年 / 21卷 / 1-2期
关键词：
Regularization matrix; Microwave Tomography; Gauss-Newton Method; Discrete derivative operator;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. A modified Gauss-Newton method has been depicted here to address the nonlinear in-posed problem. The stabilization term consists of a combination of three weighted discrete derivative operators instead of an Identity matrix as in the Levenberg-Marquardt method based algorithm developed by us. The present algorithm shows a marked improvement over the previous one in the quality of the reconstructed images from synthetic data under noisy condition.
引用
收藏
页码：511 / +
页数：2
相关论文
共 50 条
  • [31] Modified Gauss-Newton Algorithm for Evaluation of Full Lightning Impulse Voltage Parameters
    Jamroen, Panuwat
    Yoosorn, Poom
    Waengsothorn, Suthasinee
    Yutthagowith, Peerawut
    [J]. SENSORS AND MATERIALS, 2021, 33 (07) : 2471 - 2480
  • [32] A MULTI-RESPONSE GAUSS-NEWTON ALGORITHM
    BATES, DM
    WATTS, DG
    [J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1984, 13 (05) : 705 - 715
  • [33] Performance enhancement of Gauss-Newton trust-region solver for distributed Gauss-Newton optimization method
    Gao, Guohua
    Jiang, Hao
    Vink, Jeroen C.
    van Hagen, Paul P. H.
    Wells, Terence J.
    [J]. COMPUTATIONAL GEOSCIENCES, 2020, 24 (02) : 837 - 852
  • [34] ON THE SEMILOCAL CONVERGENCE OF THE GAUSS-NEWTON METHOD USING RECURRENT FUNCTIONS
    Argyros, Ioannis K.
    Hilout, Said
    [J]. JOURNAL OF THE KOREAN SOCIETY OF MATHEMATICAL EDUCATION SERIES B-PURE AND APPLIED MATHEMATICS, 2010, 17 (04): : 307 - 319
  • [35] Performance enhancement of Gauss-Newton trust-region solver for distributed Gauss-Newton optimization method
    Guohua Gao
    Hao Jiang
    Jeroen C. Vink
    Paul P. H. van Hagen
    Terence J. Wells
    [J]. Computational Geosciences, 2020, 24 : 837 - 852
  • [36] Recursive Estimation of Selective Catalyst Reduction System Parameters using Modified Gauss-Newton Method
    He, Fei
    Guan, Xiaohong
    Grimble, Mike
    Sun, Min
    Clegg, Andy
    [J]. 2014 AMERICAN CONTROL CONFERENCE (ACC), 2014,
  • [37] Experimental Validation of a Novel Gauss-Newton Inversion Method for Microwave Tomographic Imaging
    Fedeli, Alessandro
    Pastorino, Matteo
    Randazzo, Andrea
    [J]. 2014 XXXITH URSI GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM (URSI GASS), 2014,
  • [38] Optimisation Method for Determination of Crack Tip Position Based on Gauss-Newton Iterative Technique
    Yang, Bing
    Wei, Zhanjiang
    Liao, Zhen
    Zhou, Shuwei
    Xiao, Shoune
    Zhu, Tao
    Yang, Guangwu
    Wang, Mingmeng
    [J]. CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2021, 34 (01)
  • [39] Power system frequency estimation using supervised gauss-newton algorithm
    Xue, Spark Y.
    Yang, Simon X.
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 1858 - 1863
  • [40] SIMPLIFIED GENERALIZED GAUSS-NEWTON ITERATIVE METHOD UNDER MOROZOVE TYPE STOPPING RULE
    Mahale, Pallavi
    [J]. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 2015, 36 (11) : 1448 - 1470
12345