Introducing deeper nulls and reduction of Side Lobe Levels in a symmetric linear antenna array using genetic algorithm

2012 ◽  
Author(s):  
Bipul Goswami ◽  
Durbadal Mandal
Keyword(s):  
Genetic Algorithm ◽  
Antenna Array ◽  
Side Lobe ◽  
Linear Antenna ◽  
Linear Antenna Array

SYNTHESIS OF UNIFORM LINEAR ANTENNA ARRAY USING GENETIC ALGORITHM WITH COST BASED ROULETTE TO MAXIMIZE SIDELOBE LEVEL REDUCTION

2011 ◽  
Vol 08 (02) ◽  
pp. 171-179
Author(s):  
T. S. JEYALI LASEETHA ◽  
R. SUKANESH
Keyword(s):  
Genetic Algorithm ◽  
Antenna Array ◽  
Radiation Pattern ◽  
Optimization Method ◽  
Adaptive Beamforming ◽  
Linear Antenna ◽  
Algorithm Optimization ◽  
Sidelobe Level ◽  
Linear Antenna Array ◽  
Sidelobe Level Reduction

This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the Uniform Linear Antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level. This technique proved its effectiveness in improving the performance of the antenna array.

scholarly journals Position only Antenna Array Synthesis using Normal Distributed Invasive Weed Optimization

2019 ◽  
Vol 9 (2) ◽  
pp. 3277-3280
Keyword(s):  
Antenna Array ◽  
Antenna Arrays ◽  
Stochastic Approach ◽  
Side Lobe ◽  
Linear Antenna ◽  
Invasive Weed Optimization ◽  
Convergence Properties ◽  
Invasive Weed ◽  
Linear Antenna Array ◽  
Antenna Array Synthesis

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.

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