IEICE Transactions on Electronics
Online ISSN : 1745-1353
Print ISSN : 0916-8524
Regular Section
Range Points Migration Based Spectroscopic Imaging Algorithm for Wide-Beam Terahertz Subsurface Sensor
Takamaru MATSUIShouhei KIDERA
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2020 Volume E103.C Issue 3 Pages 127-130

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Abstract

Here, we present a novel spectroscopic imaging method based on the boundary-extraction scheme for wide-beam terahertz (THz) three-dimensional imaging. Optical-lens-focusing systems for THz subsurface imaging generally require the depth of the object from the surface to be input beforehand to achieve the desired azimuth resolution. This limitation can be alleviated by incorporating a wide-beam THz transmitter into the synthetic aperture to automatically change the focusing depth in the post-signal processing. The range point migration (RPM) method has been demonstrated to have significant advantages in terms of imaging accuracy over the synthetic-aperture method. Moreover, in the RPM scheme, spectroscopic information can be easily associated with each scattering center. Thus, we propose an RPM-based terahertz spectroscopic imaging method. The finite-difference time-domain-based numerical analysis shows that the proposed algorithm provides accurate target boundary imaging associated with each frequency-dependent characteristic.

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© 2020 The Institute of Electronics, Information and Communication Engineers
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