Open AccessPosition only Antenna Array Synthesis using Normal Distributed Invasive Weed Optimization
Author(s) -
M. Venkata Jayanth*,
B.V.Swetha K.Harika,
B. Aashika,
Lakshman Pappula,
G. Sai Krishna Santosh
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6641.129219
Subject(s) - side lobe , antenna array , computer science , antenna (radio) , particle swarm optimization , position (finance) , convergence (economics) , differential evolution , smart antenna , electronic engineering , algorithm , telecommunications , omnidirectional antenna , engineering , finance , economics , economic growth
Nowadays, low-side lobe antenna arrays are used in many communications systems such as satellite, cellular, radar and wireless communications. The antenna array with low side lobe rates should be designed to avoid noisy contact. A new stochastic approach to synthesize a linear antenna array to suppress normal distributed invasive weed optimization (NDIWO) is proposed in this paper synthesize a linear antenna array to suppress the side lobe levels. NDIWO is applied for optimization of the positions of the antenna elements. A 28-element linear array is designed and synthesized by using the proposed and other popular evolutionary algorithms. The acquired radiation designs are gathered with the calculations like particle swarm optimization (PSO) and differential evolution (DE). The numerical results illustrate that the NDIWO optimized antenna array performs superior over PSO and DE optimized arrays in terms of low PSLL and convergence properties.