An Automated Optimization Technique of a MSPA for Broadband Communication

Abstract

In this research paper, an automated design technique is used to optimize the variables of a microstrip patch antenna (MSPA), for reliable broadband communication systems. The method is based on a computerized procedure to produce a special defect in the ground plane, alongside with dimensions optimizing using genetic algorithm. Conventionally, either cut and try, or dimension optimization is used separately for this purpose. The novelty of the method presented here resides in the fact that the cut and the optimization techniques are automated to produce an wideband antenna. The resulting antenna gave a return loss of less than -10dB between 3GHz and 8GHz i.e. a bandwidth of 5GHz. Compared to other literature techniques, the achieved bandwidth is considered to be the best. The dimensions and the bandwidth of the designed antenna are attractive for next generation communication systems.