Reflective terahertz time-domain spectral thickness measurement method based on evolutionary optimization algorithm
The invention discloses a reflective terahertz time-domain spectral thickness measurement method based on an evolutionary optimization algorithm. A self-built all-optical excitation and receiving non-contact reflection type terahertz time-domain spectrum detection system is adopted, filtering noise...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
27.11.2020
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a reflective terahertz time-domain spectral thickness measurement method based on an evolutionary optimization algorithm. A self-built all-optical excitation and receiving non-contact reflection type terahertz time-domain spectrum detection system is adopted, filtering noise reduction and Fourier transform are carried out on a reference signal and a sample signal, a MATLABcross-correlation function is utilized to obtain an intrinsic phase shift, and a coating sample refractive index spectrum and an extinction coefficient spectrum in a terahertz frequency band range areobtained. The constructed terahertz wave and medium interaction theoretical model becomes more accurate, full-spectrum fitting is carried out on a theoretical reflection terahertz time-domain waveform and an experimental sample signal by utilizing an evolutionary optimization algorithm, and the number of iterations or convergence precision is determined; according to the method, the constructed terahertz wave and medium i |
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Bibliography: | Application Number: CN202010671319 |