Abstract
In this paper, particle swarm optimization algorithm is used to widen the impedance bandwidth of parasitic resonator-based dual-band antenna. Fractional bandwidth of 43.6% is achieved which covers C-band from 4.6 GHz to 6.9 GHz. Particle swarm optimization (PSO) algorithm is implemented for the goal function on the |S11| and radiation efficiency of a dual-band antenna. Frequency range for optimization is considered from 4 to 8 GHz; 57 iterations are performed with 7 swarms to optimize the antenna dimensions. Good impedance matching and radiation efficiency is maintained after optimization for the achieved bandwidth.
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Gupta, V.K., Kour, S., Kumar, D. (2021). Bandwidth Enhancement of a Parasitic Path Loaded Antenna Using PSO Algorithm. In: Das, S., Mohanty, M.N. (eds) Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 202. Springer, Singapore. https://doi.org/10.1007/978-981-16-0695-3_31
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DOI: https://doi.org/10.1007/978-981-16-0695-3_31
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