scholarly journals Synthesis of a Near-Optimal High-Gain Antenna Array With Main Lobe Tilting and Null Filling Using Taguchi Initialized Invasive Weed Optimization

2014 ◽  
Vol 60 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Zaharias D. Zaharis ◽  
Pavlos I. Lazaridis ◽  
John Cosmas ◽  
Christos Skeberis ◽  
Thomas D. Xenos
2012 ◽  
Vol 4 (6) ◽  
pp. 635-646
Author(s):  
Ahmed Najah Jabbar ◽  
Ali Shaban Hasooni ◽  
Muthana Khallil Ibrahim

In this study, we present the implementation of invasive weed optimization (IWO) in the maximization of main-lobe to side-lobe level for the non-uniform planar antenna array. The antenna arrays investigated in this study are generated using the chaos game algorithm (CGA) and shaped into selected fractal geometries chosen on the basis of their interesting performance. This CGA is picked out in order to overcome the limitations found in the fractal arrays. All the attained results are compared with the results produced by a well-known optimization algorithm that is the particle swarm optimization (PSO). In all the optimized arrays, IWO shows superior optimization results compared with PSO.


Author(s):  
Dau-Chyrh Chang ◽  
Chi-Hsiung Lin ◽  
Ming-Fong Liu ◽  
Chien-Kun Chang

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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