Abstract:
Parameter estimation of electromagnetic plane waves is one of the important areas of
researchers since few decades. It has got direct applications in the field of radar,
sonar, seismic exploration, mobile communication etc. In this dissertation, efficient
and new evolutionary algorithms were designed for the parameter estimation of plane
waves which include amplitude and direction of arrival. These global search
optimization algorithms include Genetic Algorithm, Fractional Order Darwinian
Particle Swarm optimization and Flower Pollination Algorithm etc. In order to
improve the performance of global search algorithms, these were also hybridized with
local search optimization techniques such as Sequential Quartic Programing. Different
structures of antenna arrays were used that include uniform linear array, 1L shaped
array and 2L shaped arrays for the reception of plane waves of electromagnetic
nature. In order to test the validity and reliability of proposed algorithms, mean
squared error was used as a fitness evaluation criterion that can be defined as a
difference between the actual and estimated responses of the system. In this regard a
large number of Monte Carlo simulations were carried out for the statistical analysis
in terms of accuracy of estimation, convergence, robustness (against noise) and
computational complexity time to validate proposed algorithms. All the simulations
were carried out in MATLAB.
