Current-Phase Synthesis of Linear Antenna Arrays Using Particle Swarm Optimization Variants

2Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Das, S., Chakravorty, P., & Mandal, D. (2020). Current-Phase Synthesis of Linear Antenna Arrays Using Particle Swarm Optimization Variants. In Advances in Intelligent Systems and Computing (Vol. 1059, pp. 87–95). Springer. https://doi.org/10.1007/978-981-15-0324-5_8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free