Quasi-optimization approach for millimeter wave imaging of multilayered dielectric media
Surya Prakash Singh,
Nilesh Kumar Tiwari and
M. Jaleel Akhtar
Journal of Electromagnetic Waves and Applications, 2018, vol. 32, issue 17, 2246-2258
Abstract:
In this paper, a quasi-optimization approach involving a two-step method for the millimeter wave imaging of the stratified media is proposed. The proposed method makes use of reflection data of the test media in the mm-wave band of 26-40 GHz, whose equivalent time domain data are also available using the standard IFFT routines. In the first step, a simple analytical method is applied to extract the real permittivity and the physical thickness of each layer from time domain reflection data. In the second step, an efficient optimization method is proposed to extract material parameters of each layer more accurately from the spectral domain reflection coefficients. The extracted real permittivity and thickness of each layer from the first step provide a quite good estimated value for the next optimization process and thus overall computation time is considerably reduced. The proposed method is experimentally tested for a number of multilayered media comprising various materials.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2018.1503566 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:32:y:2018:i:17:p:2246-2258
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20
DOI: 10.1080/09205071.2018.1503566
Access Statistics for this article
Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury
More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().