Sidelobe level reduction of aperiodic planar array using an improved invasive weed optimization algorithm

Author(s):  
R. Bhattacharya ◽  
T. K. Bhattacharyya ◽  
S. Saha
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Geng Sun ◽  
Yanheng Liu ◽  
Han Li ◽  
Shuang Liang ◽  
Aimin Wang ◽  
...  

The problems of synthesizing the beam patterns of the linear antenna array (LAA) and the circular antenna array (CAA) are addressed. First, an optimization problem is formulated for reducing the maximum sidelobe level (SLL) of the beam patterns. Then, the formulated problem is solved by using the invasive weed optimization (IWO) algorithm. Various simulations are performed to evaluate the effectiveness of the IWO algorithm for the synthesis of the beam patterns of the LAA and the CAA. The results show that IWO has a better performance in terms of the accuracy, the convergence rate, and the stability compared with other algorithms for the SLL reductions. Moreover, the electromagnetic simulation results also show that IWO achieves the best performance for the beam pattern synthesis of the antenna arrays in practical conditions.


2010 ◽  
Vol 14 (5) ◽  
pp. 316-320 ◽  
Author(s):  
Ahmed Khairy Aboul-Seoud ◽  
Ahmed Khairy Mahmoud ◽  
Alaa El-Din Sayed Hafez

2007 ◽  
Vol 61 (5) ◽  
pp. 286-290 ◽  
Author(s):  
Carlos Rocha-Alicano ◽  
David Covarrubias-Rosales ◽  
Carlos Brizuela-Rodriguez ◽  
Marco Panduro-Mendoza

Author(s):  
Shuo Peng ◽  
A.-J. Ouyang ◽  
Jeff Jun Zhang

With regards to the low search accuracy of the basic invasive weed optimization algorithm which is easy to get into local extremum, this paper proposes an adaptive invasive weed optimization (AIWO) algorithm. The algorithm sets the initial step size and the final step size as the adaptive step size to guide the global search of the algorithm, and it is applied to 20 famous benchmark functions for a test, the results of which show that the AIWO algorithm owns better global optimization search capacity, faster convergence speed and higher computation accuracy compared with other advanced algorithms.


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