Design of an UWB Microstrip Antenna With DGS Based on Genetic Algorithm

Abstract

In this paper, genetic algorithm (GA) and the defected ground structure (DGS) are combined to design the UWB antenna. Genetic algorithm is used to optimize the structure of the rectangular microstrip antenna so that the antenna can be built and optimized independently. At the same time, the defected ground structure is added to make the S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</inf> lower in order to meet the demand of the UWB. The final S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</inf> of the proposed antenna is under -10dB from 2.5-10.6GHz and the simulation results agree well with the measured results. Compared with the traditional antenna design methods, which is blind and time-consuming, the new approach shown as follows can obviously help us obtain better antenna performances in a short time, which improves the efficiency of antenna design.