Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Nowadays, artificial intelligence plays a very significant role in the optimal design of microwave devices such as antennas. In particular, antenna design automation via surrogate model-based optimization (SMBO) methods is attracting a... more
Nowadays, artificial intelligence plays a very significant role in the optimal design of microwave devices such as antennas. In particular, antenna design automation via surrogate model-based optimization (SMBO) methods is attracting a lot of interest due to the efficiency improvement in terms of computational cost. The parallel surrogate model-assisted hybrid differential evolution for antenna optimisation (PSADEA) method is a state-of-the-art SMBO method. In this paper, PSADEA is used to synthesize a compact slotted monopole antenna for ultra wide band body-centric applications. The performance of PSADEA is compared with 2019 Computer Simulation Technology - Microwave Studio (CST-MWS) optimizers: trust region framework (TRF) and particle swarm optimisation (PSO). Results from the comparisons show that PSADEA obtains very satisfactory design solutions for the monopole antenna in all runs using an affordable optimization time in each, whereas the alternative optimizers fail to obtain a satisfactory design solution in all runs. A close agreement between the simulated and measured results for the fabricated prototype of a typical PSADEA synthesized design for the monopole antenna validates the design solution quality of PSADEA.
Research Interests:
This paper presents parameterization and optimization of a bowtie-dipole adjacent to dielectric material for through the wall imaging based on hybrid finite difference time domain and method of moment's computational electromagnetic... more
This paper presents parameterization and optimization of a bowtie-dipole adjacent to dielectric material for through the wall imaging based on hybrid finite difference time domain and method of moment's computational electromagnetic techniques. The antenna shapes are parameterized and optimized to reduce the return loss in a specific frequency band using Surrogate Model Assisted Differential Evolution Algorithm for the optimization task. The SADEA Optimizer combines the capabilities of CST microwave studio electromagnetic design environment with those of intrinsic MATLAB computing and programming environment. Impedance matching and gain are optimized over a predefined frequency range. This resulted to a very small and compact 12.87mm × 28.62mm ultra-wideband antenna with optimal parameters.
Research Interests:
This paper presents parameterization and optimization of a bowtie-dipole adjacent to dielectric material for through the wall imaging based on hybrid finite difference time domain and method of moment's computational electromagnetic... more
This paper presents parameterization and optimization of a bowtie-dipole adjacent to dielectric material for through the wall imaging based on hybrid finite difference time domain and method of moment's computational electromagnetic techniques. The antenna shapes are parameterized and optimized to reduce the return loss in a specific frequency band using Surrogate Model Assisted Differential Evolution Algorithm for the optimization task. The SADEA Optimizer combines the capabilities of CST microwave studio electromagnetic design environment with those of intrinsic MATLAB computing and programming environment. Impedance matching and gain are optimized over a predefined frequency range. This resulted to a very small and compact 12.87mm × 28.62mm ultra-wideband antenna with optimal parameters.
Research Interests:
Research Interests:
Near-field imaging using microwaves in medical applications is of great current interest for its capability and accuracy in identifying features of interest, in comparison with other known screening tools. This paper documents microwave... more
Near-field imaging using microwaves in medical applications is of great current interest for its capability and accuracy in identifying features of interest, in comparison with other known screening tools. This paper documents microwave imaging experiments on breast cancer detection, using active antenna tuning to obtain matching over a wide bandwidth. A simple phantom consisting of a plastic container with a low dielectric material emulating fatty tissue and a high dielectric constant object emulating a tumor is scanned between 4 and 8 GHz with a ultra-wideband microstrip antenna. Measurements indicate that this prototype microwave sensor is a good candidate for such imaging applications.