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.

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 Optimization of Sparse Concentric Ring Arrays for Low Sidelobe

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Kesong Chen ◽  
Yafei Li ◽  
Jiajia Shi
Keyword(s):  
Multiple Constraints ◽  
Search Efficiency ◽  
Sidelobe Level ◽  
Concentric Ring ◽  
Function Model ◽  
Design Constraints ◽  
Minimum Element ◽  
Low Sidelobe ◽  
Optimization Variable ◽  
Array Aperture

To lower the peak sidelobe level (PSLL) of sparse concentric ring arrays, a method with multiple design constraints that embed a function model into modified real genetic algorithm (MGA) and select the grid ring radii as optimization individual to synthesize sparse concentric ring arrays is proposed. The multiple constraints include the array aperture, the minimum element spacing, and the number of elements. The proposed method dynamically calculates the ratio of element on each ring, and it has a faster convergence rate than other algorithms. The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. Finally, the results demonstrate the accuracy and effectiveness of the algorithm.

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 Orthogonal Genetic Algorithm for Planar Thinned Array Designs

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Li Zhang ◽  
Yong-Chang Jiao ◽  
Bo Chen ◽  
Hong Li
Keyword(s):  
Genetic Algorithm ◽  
Factor Analysis ◽  
Orthogonal Array ◽  
Orthogonal Design ◽  
Crossover Operator ◽  
Sidelobe Level ◽  
Thinned Array ◽  
Better Than ◽  
Peak Sidelobe Level

An orthogonal genetic algorithm (OGA) is applied to optimize the planar thinned array with a minimum peak sidelobe level. The method is a genetic algorithm based on orthogonal design. A crossover operator formed by the orthogonal array and the factor analysis is employed to enhance the genetic algorithm for optimization. In order to evaluate the performance of the OGA, 20×10-element planar thinned arrays have been designed to minimize peak sidelobe level. The optimization results by the OGA are better than the previously published results.

scholarly journals Sidelobe Reduction in a Planar Array using Genetic Algorithm under Backlobe Reduction Condition

2017 ◽  
Vol 16 (1) ◽  
pp. 1-8
Author(s):  
Reena Manandhar ◽  
Prapun Suksompong ◽  
Chalie Charoenlarpnopparut
Keyword(s):  
Genetic Algorithm ◽  
Research Work ◽  
Sidelobe Level ◽  
Reduction Condition ◽  
Planar Array ◽  
Binary Genetic Algorithm ◽  
3D Beamforming ◽  
Level Reduction ◽  
Peak Sidelobe Level

The peak sidelobe level (PSL) minimizing amplitude weights for planar array, with 3D beamforming under the backlobe level reduction (BLL) condition is proposed. Binary genetic algorithm (BGA) is performed on the amplitude weights to achieve low PSL. BLL reduction condition for the inter-element distance between the antenna elements is applied to achieve reduced BLL. Earlier studies only focus on minimizing sidelobe level of planar array. BLL reduction condition has not yet been applied for planar array case. Hence a different way of achieving the amplitude weights to reduce PSL with 3D beamforming using BGA, under the BLL reduction condition is proposed in this paper. Obtained PSL and BLL for  planar array by applying optimized weights under BLL condition is -20.89 dB and -2.37 dB respectively. PSL is reduced by 8.84 dB compared to  uniform planar array. BLL is reduced by 2.37 dB compared to planar array discussed in existing research work.

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