Abstract
In this work, the problem of low sidelobe phased array synthesis is taken up, and variants of particle swarm optimization (PSO), like Grey PSO and Novel PSO, are adopted for dealing with this problem. For simplicity, periodic linear array geometries are considered. Effect of position regulation and inertia control strategies on the convergence of PSO variants is studied in this regard. Results reflect the impacts of position regulation and inertia control strategies on the convergence of the algorithms for the problem instance considered. Without the influence of position regulation Grey PSO and Novel PSO have been able to suppress interference levels for a 20-element linear array to \(-21.31\) and \(-31.23\) dB, respectively. Under the influence of the position regulation, their respective values got improved to \(-27.90\) and \(-43.35\) dB.
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Das, S., Chakravorty, P., Mandal, D. (2020). Current-Phase Synthesis of Linear Antenna Arrays Using Particle Swarm Optimization Variants. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_8
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DOI: https://doi.org/10.1007/978-981-15-0324-5_8
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