A Technique to Optimize Nonuniformly Spaced Arrays with Low Sidelobe Level by Using a Genetic Algorithm

2005 ◽  
Author(s):  
A. Monorchio ◽  
S. Genovesi ◽  
U. Serra ◽  
A. Brizzi ◽  
G. Manara
Keyword(s):  
Genetic Algorithm ◽  
Sidelobe Level ◽  
Low Sidelobe

scholarly journals Linear Array Thinning with Cavity backed U-slot Patch Antenna using Genetic Algorithm

2021 ◽  
Vol 5 (1) ◽  
pp. 9
Author(s):  
Novalia Pertiwi ◽  
Fannush Shofi Akbar ◽  
Eko Setijadi ◽  
Gamantyo Hendrantoro
Keyword(s):  
Genetic Algorithm ◽  
Patch Antenna ◽  
Linear Array ◽  
Dense Array ◽  
Sidelobe Level ◽  
Low Sidelobe ◽  
Genetic Algorithm Method ◽  
Peak Sidelobe Level

In this paper, a thinned linear array with Cavity backed U-slot Patch has been investigated using the Genetic Algorithm to minimize peak sidelobe level and the number of antenna elements. One of the essential steps in the Genetic Algorithm method is a crossover, which uses the Paired Top Ten and Combined Top Five rules applied to the Cavity backed U-slot Patch antenna. The peak sidelobe level value is -18.63 dB with a array filling of 63.33% at the broadside angle using Combined Top Five rules. In Paired Top Ten, the peak sidelobe level value is -19.48 dB with a array filling of 70%. The two methods are still better as compared to a dense array. This study is essential in the development of radar technologies since it needs a low sidelobe level.

scholarly journals Low Sidelobe Sparse Concentric Ring Arrays Optimization Using Modified GA

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Ke-song Chen ◽  
Yong-yun Zhu ◽  
Xiao-long Ni ◽  
Hui Chen
Keyword(s):  
Genetic Algorithm ◽  
Computational Cost ◽  
Optimization Method ◽  
Sidelobe Level ◽  
Concentric Ring ◽  
Low Sidelobe ◽  
Array Aperture ◽  
Peak Sidelobe Level

To minimize the peak sidelobe level (PSLL) of sparse concentric ring arrays, this paper presents an optimization method of grid ring radii of these arrays. The proposed method is based on modified real genetic algorithm (MGA); it makes grid ring radii as optimal variables and makes elements more reasonably distributed on the array aperture. Also, it can improve the PSLL of the sparse concentric ring arrays and can meanwhile control the computational cost. The simulated results confirming the efficiency and the robustness of the algorithm are provided at last.

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