Abstract:
This dissertation report presents methodologies and digital signal processing solutions to
optimize the beamshaping and beamformation. Implementation of these methodologies is
presented in this report using LTE signal as an input to the system which lays foundation
for future technologies and upcoming 5G technology in millimeter wave band. The results
provided can act as building blocks for upcoming millimeter wave communication systems.
Analysis of beamforming techniques is applied for compensation of noise as well as in-
terference using MATLAB 2017a. The report also presents windowing techniques which
is implemented for the suppression of side lobes of the beam. Analysis of directivity with
respect to number of antenna elements for windowing techniques is also presented.
Results of window techniques for large number of antenna elements are used as a motivation
for the Genetic Algorithm based side lobe suppression. Analysis of results in connection
with suppression of side lobes using Genetic Algorithm is observed for number of metrics
using LTE signal.
In order to have one optimal solution and higher side lobe suppression than observed in
GA and windowing techniques, Convex Optimization approach was implemented, whose
results eventually showed that there is higher side lobe suppression and better directivity.
It was noted that computational time in convex optimization was dependent on number of
antenna elements, hence a new approach and novel technique named Relaxed Methodology
using Convex Optimization (RMCO) is proposed, whose results show that the computa-
tional time is not directly dependent on the number of antenna elements however there is
some minor decrement in SLS performance, thus acts as a trade-o between computational
time and performance
