Shaped-Beam Reflectarray Design by Means of Social Network Optimization (SNO)

Beccaria, Michele; Niccolai, Alessandro; Zich, R.E.; Pirinoli, Paola

doi:10.3390/electronics10060744

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…This is an approximated approach that provides good results in the identification of the Radiation Pattern for RAs. With respect to a complete FEM solution, the performance worsening is acceptable, and the computational time is a couple of orders of magnitude lower in the aperture field method [25].…”

Section: Performance Parametersmentioning

confidence: 99%

Optimization Environment Definition for Beam Steering Reflectarray Antenna Design

et al. 2021

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Reflectarray antennas are low-profile high-gain systems widely applied in the aerospace industry. The increase in their application is leading to the problem of getting more advanced performance while keeping the system as simple as possible. In these cases, their design cannot be conducted via analytical methods, thus evolutionary optimization algorithms are often implemented. Indeed, the design is characterized by the presence of many local minima, by high number of design variables, and by the high computational burden required to evaluate the antenna performance. The purpose of this paper is to develop, implement, and test a complete Optimization Environment that can be applied to achieve high scanning capabilities with a reflectarray. The design of the optimization environment has been selected to be flexible enough to be applied also with other different algorithms.

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Section: Performance Parametersmentioning

confidence: 99%

Optimization Environment Definition for Beam Steering Reflectarray Antenna Design

et al. 2021

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“…A number of reflectarray antennas have been developed since the 1980s. It has achieved wide applications and has many advantages, such as being of low profile and volume, surface-mountable and easy to deploy [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. In modern wireless communication system such as in 5G/6G base stations or point-to-point communication systems, reflectarray antennas with plane structures can be installed conveniently on building walls or ceilings to reflect beams for covering different areas, especially for blind spots.…”

Section: Introductionmentioning

confidence: 99%

FSS Sandwiched Dual-Frequency Reflectarray for Mobile Communication Applications

Mao

Zhang

2023

Electronics

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Sandwiched frequency selective surface (FSS) is proposed as an additional reflection surface for a dual-frequency reflectarray system. The range of reflection phase for a reflectarray depends on the substrate thickness sensitively. Usually, a tradeoff between the smooth linear level and the wide reflection phase range is needed, especially for a dual-frequency system. By inserting an FSS between the ground plane and the reflecting element layer, a selective plane for the dual-frequency band is provided. For the higher frequency band, the FSS layer is a reflection plane. For the lower frequency band, it is transparent and the reflection plane is changed into the metal ground plane. A dual-band reflectarray with a scattering angle of 30 degrees is simulated and measured to validate this concept.

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“…Direct layout optimization may be performed using any of the multiple optimization algorithms available in the literature. Some algorithms that have been recently applied with success for the optimization of reflectarray antennas include the generalized Intersection approach [18,25], gradient minimax [27] and social network optimization [28,29], among others. These algorithms typically require the evaluation of the cost function that invokes the analysis tools thousands or even hundreds of thousands of times.…”

Section: Introductionmentioning

confidence: 99%

Efficient General Reflectarray Design and Direct Layout Optimization with a Simple and Accurate Database Using Multilinear Interpolation

2022

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In this work, a simple, efficient and accurate database in the form of a lookup table to use in reflectarray design and direct layout optimization is presented. The database uses N-linear interpolation internally to estimate the reflection coefficients at coordinates that are not stored within it. The speed and accuracy of this approach were measured against the use of the full-wave technique based on local periodicity to populate the database. In addition, it was also compared with a machine learning technique, namely, support vector machines applied to regression in the same conditions, to elucidate the advantages and disadvantages of each one of these techniques. The results obtained from the application to the layout design, analysis and crosspolar optimization of a very large reflectarray for space applications show that, despite using a simple N-linear interpolation, the database offers sufficient accuracy, while considerably accelerating the overall design process as long as it is conveniently populated.

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Shaped-Beam Reflectarray Design by Means of Social Network Optimization (SNO)

Cited by 6 publications

References 32 publications

Optimization Environment Definition for Beam Steering Reflectarray Antenna Design

Optimization Environment Definition for Beam Steering Reflectarray Antenna Design

FSS Sandwiched Dual-Frequency Reflectarray for Mobile Communication Applications

Efficient General Reflectarray Design and Direct Layout Optimization with a Simple and Accurate Database Using Multilinear Interpolation

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