Title :
Data-reduction method for simultaneous measurement of permittivity and permeability with a short-circuited transmission line
Author :
Zhao, Caijun ; Jiang, Quanxing ; Jing, Shenhui
Author_Institution :
EMC Lab., Southeast Univ., Nanjing, China
Abstract :
Based on nonlinear least-squares optimization techniques and interpolation techniques, a data-reduction method for determining the complex electromagnetic parameters of materials with a short-circuited transmission line is presented in this paper, which takes frequency as an independent variable in order to establish independent reflection equations for the determination. After only one frequency-sweeping measurement, reflection equations are constructed by interpolation techniques and solved by nonlinear least-squares optimization techniques. With the help of this method, the short-circuited transmission line method can simultaneously measure the complex permittivity and permeability on a single sample at a single position in the shorted line. The optimization procedure is enough robust to converge to the correct value because of its less dependence on an initial guess.
Keywords :
interpolation; least squares approximations; magnetic permeability measurement; optimisation; permittivity measurement; transmission lines; data reduction method; electromagnetic parameters; frequency-sweeping measurement; interpolation technique; nonlinear least-squares optimization technique; permeability measurement; permittivity measurement; reflection equations; short-circuited transmission line; Electromagnetic measurements; Electromagnetic reflection; Frequency measurement; Interpolation; Nonlinear equations; Optimization methods; Permeability measurement; Permittivity measurement; Position measurement; Transmission line measurements; Measurement; interpolation; nonlinear least-squares; permeability; permittivity; short-circuited transmission line;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274537