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.

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 A Novel Chebyshev Series Fed Linear Array with High Gain and Low Sidelobe Level for WLAN Outdoor Systems

2018 ◽  
Vol 8 (1-2) ◽  
Author(s):  
The Toan Tang ◽  
Minh Tran Nguyen ◽  
Vu Bang Giang Truong
Keyword(s):  
Linear Array ◽  
Measurement Data ◽  
High Gain ◽  
Single Element ◽  
Sidelobe Level ◽  
Antenna Theory ◽  
Yagi Antenna ◽  
Low Sidelobe ◽  
Structure Simulation ◽  
Microstrip Array Antenna

This paper proposes a novel high gain and low sidelobe level (SLL) linear microstrip array antenna for outdoor WLAN applications. The antenna consists of two main parts, which are a linear array and a reflector. The linear array comprises of 10 elements; those have been designed on Rogers RT/Duroid 5870tm with the dimensions of 422×100×10.15 mm3. To gain low SLLs, a series fed network was designed to have the output signals being proportional to the Chebyshev distributions (with preset SLL of -30 dB). Furthermore, Yagi antenna theory has been applied by adding directors above every single element to increase the directivity of the single element. The reflector has been constructed at the back of the proposed structure. Simulation results show that the array can provide high gain of 17.5 dBi and a low SLL of -26 dB. A prototype has been fabricated and measured. Good agreements between simulation and measurement data have been obtained.

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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