Modelling of Electromagnetic Wave Using Statistical/Numerical Approach

This paper reviews the problem statement, objectives, some background studies and
methodology to be used in modelling Electromagnetic wave (EM wave) using the integrated
programming language, MATLAB. This project is focusing on amplitude modelling of EM
wave at frequency of 0.25 Hz using statistical and numerical approach. The significance of
this project is that EM wave is one of the most recently used signal in communication and
other technology nowadays. Therefore modelling of EM wave is widely required to do
analysis and designing in computer. The objective of this project is to compare the EM wave
models developed using statistical approaches and numerical approaches; in order to
determine which method produce the best model. This estimated model is compared to the
real data to determine the fitness of the model and to calculate the sum square error. The
tools and equipment required in this project are computer and MATLAB software. The
statistical approaches that are used in this project are first order and second order Regression
Analysis. The numerical approaches used are Polynomial Curve Fitting and Spline
Interpolation Technique. The coding of each method is saved in M-file to be executed in
MATLAB. The results are observed and discussed from the resulting EM wave model using
both approaches. At the end of this project, it can be seen that the numerical approach using
Spline Interpolation Technique gave the most fitted model of the EM wave amplitude.