Soft-Computing-Based Optimization of Low Return Loss Multiband Microstrip Patch Antenna

Abstract

In this chapter, we report the outline of design and optimization of multiband antenna, the ground plane of which is introduced with a Complementary Split Ring Resonator (CSRR).The dimension of CSRR is optimized using a soft-computing tool like Artificial Neural Network (ANN) and evolutionary computing like Genetic Algorithm (GA). The proposed design of the multi-band frequency terminal antenna for high data rate applications is compact with low return loss and multiband in characteristics. The ANN and GA based optimizations improve the design considerably for applications in a range of wireless and mobile communication set-ups including Long Term Evolution-Advanced (LTE-A). The design has inset feed over microstrip line geometry for a frequency of 2.4 GHz. The dimension of the feed line is 7.64×14.89 mm. The microstrip antenna is designed over a FR4 epoxy substrate with dielectric constant,e_r=4.4.