A free space frequency‐time‐domain technique for electromagnetic characterization of materials using reflection‐based measurement. Issue 1 (12th November 2020)

• Record Type: Journal Article
• Authors: Aman, ; Singh, Vineet; Nilotpal, ; Bhattacharyya, Somak
• Is Part Of: International journal of RF and microwave computer-aided engineering. Volume 31:Issue 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-11-12
• Subjects: incident angle -- magnetic material characterization -- material characterization -- microwave imaging -- multiple reflections -- time domain technique; Microwave devices -- Computer-aided design -- Periodicals; Computer-aided engineering -- Periodicals; 621.3813
• DOI: 10.1002/mmce.22490
• Languages: English
• ISSNs: 1096-4290

Abstract

Abstract: In this report, a free space frequency‐time‐domain technique is presented for characterizing the electrical properties and thickness of the sample using multiple reflections and fabry‐perot resonance phenomenon. The retrieval of constitutive electromagnetic parameters of the sample has been carried out by comparing the measured reflection coefficient data from the sample at two different incident angles. The relative permittivity as well as relative permeability along with the thickness of different samples viz., beryllia, silicon, and plexiglass have been evaluated with high accuracy in the frequency range 1 to 15 GHz. The method is also experimentally validated by successfully reconstructing the unknown material properties of two different samples. The unique advantage of this method lies in non‐requirement of any prior knowledge of the sample's thickness for measuring the complex relative dielectric constant as well as relative permeability of the sample. To determine the electromagnetic properties of the sample, the sole knowledge of reflection coefficient data are needed. Moreover, the method does not involve any additional measurement for the reference calibration. The simple, cost‐effective proposed scheme is quite useful in many applications like accurate determination of signal strength in indoor wireless communication, through wall imaging, food industry, and so on.