Comparing Two Fitting Algorithms to Determine Cole-Cole Parameters

被引:0
|
作者
Caliskan, Ugur Berkay [1 ]
Aydinalp, Cemanur [1 ]
Abdolsaheb, Tuba Yilmaz [1 ]
机构
[1] Istanbul Tech Univ, Elekt & Elekt Fak, TR-34469 Maslak, Turkiye
关键词
Particle Swarm Algorithm; Generalized Newton-Raphson Algorithm; Cole-Cole model; dielectric properties; DIELECTRIC-PROPERTIES; BIOLOGICAL TISSUES;
D O I
10.1109/SIU59756.2023.10223749
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dielectric property characterization of biological tissues plays a vital role during microwave diagnosis and treatment. Cole-Cole model is used commonly in the literature to express this frequency dependent properties. This modelling provides an effective and accurate representation of complex permittivity in a large frequency spectrum for the biological tissues. Many optimization techniques are used to calculate the Cole-Cole parameters. In this research, execution time and number of iteration of Particle Swarm Algorithm and Generalized Newton-Raphson method to calculate Cole-Cole parameters are listed. During this research, the frequency band is 0.5 - 6 GHz and between this frequency interval 271 equidistant points are selected. During the analysis, it is observed that Generalized Gauss Newton method took much less time to calculate the Cole-Cole parameters. At the same time, Particle Swarm Optimization calculated the Cole-Cole parameters with less number of iteration.
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页数:4
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