Application of a Stochastic Approach in the Design of a Rectangular Microstrip Patch Antenna

Abstract

Abstract A Microstrip patch antenna can be efficiently designed using a soft computing algorithm named particle swarm optimization. A number of basic variations have been developed to improve speed of convergence and quality of solution found by other methods. On the other hand, PSO is more appropriate in accelerating the best solutions and also the diversity of problems to be resolved. In this paper the design of probe fed rectangular Microstrip patch antenna for WCDMA using soft computing technique, particle swarm optimization is presented. A substrate with dielectric constant of 4.4 and height 1.588 mm has been used for the design of Microstrip patch antenna. The parameters like patch length, width and feed position at centre frequency of 1.95 GHz using Sonnet13.52 have been analyzed using PSO which gives better and faster results. Compared to other optimization techniques, the advantages of PSO are that PSO is easy to implement and there are few parameters to adjust.