A CSI Approach Incorporating Recursive Eigenfunction Expansion for Efficient Microwave Imaging of Objects Embedded in Arbitrarily Shaped Multilayer Cylinders
Sensors, cilt.26, sa.13, ss.1-24, 2026 (Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 26 Sayı: 13
- Basım Tarihi: 2026
- Doi Numarası: 10.3390/s26134134
- Dergi Adı: Sensors
- Derginin Tarandığı İndeksler: Scopus, PubMed
- Sayfa Sayıları: ss.1-24
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Microwave imaging of objects embedded in multilayer cylindrical structures is of practical
importance in applications where inaccessible targets are surrounded by a known inho-
mogeneous host. In such problems, incorporating the known multilayer structure into
the background model can improve reconstruction accuracy and reduce the complexity
of the inverse problem. This paper presents an efficient imaging method for dielectric
objects embedded in two-dimensional multilayer cylindrical structures with arbitrarily
shaped layer boundaries. The proposed approach integrates the contrast source inversion
method with a recursive eigenfunction expansion technique for noncircular geometries.
The known multilayer host is treated as the background medium, while the inversion is
restricted to the embedded scatterers. The recursive formulation is derived to compute
the inhomogeneous-background Green’s function and the required cell-integrated Green’s
functions in a semi-analytical and discretization-free manner. Numerical results suggest
that the method is capable of providing satisfactory reconstructions of embedded objects
under various host configurations, including cases with a Perfect Electric Conductor (PEC)
core. Comparisons with Method of Moments reference solutions confirm the accuracy of
the forward modeling and the reliability of the inversion, while demonstrating a significant
reduction in computational cost.