Determination of Effective Constitutive Parameters of Inhomogeneous Metamaterials With Bianisotropy

HASAR U. C., BULDU G., KAYA Y., ÖZTÜRK G.

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, cilt.66, sa.8, ss.3734-3744, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 8
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1109/tmtt.2018.2846726
  • Dergi Adı: IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3734-3744
  • Anahtar Kelimeler: Bianisotropic, constitutive parameters, inhomogeneous, metamaterials (MMs), recursive algorithm, retrieval, EFFECTIVE ELECTROMAGNETIC PARAMETERS, COMPLEX PERMITTIVITY, UNIQUE RETRIEVAL, REFLECTION, EXTRACTION
  • Atatürk Üniversitesi Adresli: Evet

Özet

A recursive algorithm is proposed to accurately extract the electromagnetic parameters of isotropic/bianisotropic metamaterial (MM) slabs of inhomogeneous structures. The algorithm is based on the recursive calculations of measured/simulated forward and backward scattering (S-) parameters from previously extracted wave impedances and refractive indices of each homogeneous layer (except the analyzed intermediate layer) by a suitable retrieval method. There are two main advantages of our proposed method over existing extraction algorithms. First, it could retrieve the electromagnetic parameters of both isotropic and bianisotropic MM slabs. Second, it is applicable for electromagnetic parameter extraction of inhomogeneous structures. For validation of our method and assessing its accuracy over existing extraction methods, we used the simulation results of various inhomogeneous structures constructed by different isotropic/bianisotropic MM slabs (split-ring-resonator (SRR), SRR-wire, omega, and omega-wire). For completeness, the effects of noise present in S-parameters and iterative error (by increasing the value of iteration numbers) are examined to test the robustness of the proposed algorithm.