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

来源：

2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2023年

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.

引用

页数：4

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