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System identification for Terahertz wave's propagation and reflection in human skin

This paper is concerned with parameter identification for the double Debye model of the Terahertz wave's propagation and reflection in human skin. The existing methods could provide estimators, which are accurate at the frequencies higher than one THz but rather row at the lower frequencies, where the majority of contrast for differentiating the changes of skin content is present. We propose another approach by using parametric quadratic optimization to locate the global optimal estimator. Simulation results confirm our reliable and prominent technique.