Abstract
Evolutionary algorithm for optimization is the popular one and is referred to genetic algorithm. It is based on soft computing method. It has occupied a very good space in optimization techniques. In the same fashion it has been also applied for antenna parameters. Microstrip antenna is an essential component of wireless communication systems. The optimization leads for improving the performance of the system. As handsets improve in compactness with multifunctions in recent age, the antennas for these equipments have come under the spotlight. In this paper, the optimization has been applied for the design of hybrid slot antenna. The design is based on the T-slot combination with the L-slot microstrip patch. The shape will provide the broad bandwidth which is required for the operation of next generation wireless systems. Evolutionary algorithm-based optimization has been utilized in HFSS-ANSOFT to optimize the microstrip line feed antenna dimensions in order to obtain reliable return loss and high directivity. The dielectric constant and thickness of the antenna is 4.4 and 1.6 mm, respectively. The patch antenna is analyzed for different metrics for performance. A comparative analysis between nonoptimized patch design and optimized patch design has also been presented.
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Das, A., Mohanty, M.N., Mishra, L.P., Padma Suresh, L. (2016). EA-Based Optimization of Hybrid T-Slot Patch Antenna. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_3
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DOI: https://doi.org/10.1007/978-81-322-2671-0_3
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