ELEE Doctor of Philosophy Dissertation Defense by Vidyasagar Sivalingam
Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
: Zoom Link: https://umassd.zoom.us/j/94368881668
Dayalan Kasilingam
5089998534
dkasilingam@umassd.edu
https://umassd.zoom.us/j/94368881668
Topic: The Spectral Projection Model for Scattering of Electromagnetic Waves from Cylindrical and Spherical Surfaces
Abstract: In the fields of radar, remote sensing and wireless communications, estimating the scattered electromagnetic field is one of the most significant objectives pursued. The scattered electromagnetic field can be estimated by calculating the induced currents on the surface of the object under consideration. The most widely used computational technique for calculating the current induced on a regular or irregular geometrical surface is the Method of Moments (MoM). The computational complexity of MoM depends heavily on the geometry of the surface, and the number of data points needed for accurate estimates of the currents make the computational load overwhelming. The Spectral Projection Model is a novel approach which was developed to preserve the physical clarity of the scattering process, while minimizing the computational complexity. SPM utilizes the addition theorem for Hankel and Bessel functions to formulate the scattering process as a projection of vectors known as spectral signatures. This approach does not estimate the induced current on the surface, instead it solves for the spectral signature of the induced current, which is used to estimate the scattered fields. This effectively reduces the computational load of the numerical calculations. A novel vector sum technique is utilized to translate the origin and circumvent constraints of the addition theorem. Electromagnetic scattering is analyzed in elementary curvilinear wave functions such cylindrical and spherical surfaces. SPM is verified and validated by applying it to the scattering from complex structures such as multi-layered cylinders and spheres. Simulation results from SPM are compared with those from MoM and modal analysis. The comparisons indicate that SPM generates results which are accurate at a significantly lower computational cost.
Advisor: Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Paul J. Gendron, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Antonio H. Costa, Professor Emeritus, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Alfa Heryudono, Professor, Mathematics Department, UMASS Dartmouth; Dr. Sembiam R. Rengarajan, Professor, Department of Electrical & Computer Engineering, California State University
NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Dayalan Kasilingam via email at dkasilingam@umassd.edu.