Computational Electromagnetics (FDTD Analysis)

Python 3 & MATLAB codes for implementing the Finite Difference Time Domain (FDTD) algorithm to solve Maxwell's equations for modelling different electromagnetic structures.

The Python codes have the following dependencies -

1. NumPy  -  for mesh discretization

2. matplotlib  -  for general plots

3. mpl_toolkits.mplot3d  -  for surface plots
   
   

Description of the Models Implemented

1. homog_gau.py
   Gaussian pulse propagation in a homogeneous medium

2. homog_gau_abc.py
   Gaussian pulse propagation in a homogeneous medium terminated with Absorbing Boundary Condition (ABC)

3. interface_gau.py
   Gaussian Pulse propagation through an interface with ABC at extreme boundaries

4. interface_sin.py
   Sine wave propagation through an interface with ABC at extreme boundaries

5. Microstrip_SW.py
   50 Ω Microstrip transmission line with an open termination (ZL = ∞) and ABC

6. Microstrip_SW-2.py
   Two symmetrically spaced 50 Ω Microstrip transmission lines with open termination (ZL = ∞) and ABC

7. Microstrip_SW-2_dielectric.py
   Two symmetrically spaced 50 Ω Microstrip transmission lines with open termination (ZL = ∞), a cylindrical dielectric region in between the striplines and feed on one strip

8. Two_port_gaussian.m
   Two-port 50 Ω transmission line with gaussian feed at transmitting end. The corresponing signal at the receiving end is analysed in time & frequency domain

9. Two_port_modulated_gaussian.m
   Two-port 50 Ω transmission line with gaussian signal modulated by a sinusoidal pulse at transmitting end

10. Luebbers_Tapered_gaussian.m
    Two-port 50 Ω transmission line with Luebber's source (lumped source with internal resistance) and Source Tapering (staircased FDTD mesh transition from ground plane to stripline) for a gaussian signal

11. Final_Structure.m
    Two-port 50 Ω transmission lines with a cylindrical dielectric region in between