An Efficient Technique for the Analysis of Large Multilayered Printed Arrays

Vita, P. De; Vita, F. De; Maria, A. Di; Freni, A.

doi:10.1109/lawp.2008.2012176

Cited by 18 publications

(8 citation statements)

References 16 publications

(18 reference statements)

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“…We start for simplicity by considering sw     for which   can be neglected in (12). From (11) and (12) it is straightforward to demonstrate the following:  a single backward beam in direction 0  is produced by a surface impedance given by Being the structure cylindrical, a conical radiation with aperture angle 0  is obtained for both cases in which the elemental sector radiation is backward or forward, provided that each elemental sector has a single beam. On the one hand, the forward mode operation implies a larger period for a fixed level of impedance, which is a desirable property for the reconstruction of gradual impedance variation with small patches.…”

Section: B Cylindrically Modulated Periodic Reactancementioning

confidence: 99%

See 1 more Smart Citation

A Circularly-Polarized Isoflux Antenna Based on Anisotropic Metasurface

Minatti

Maci

Vita

et al. 2012

IEEE Trans. Antennas Propagat.

218

124

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Theory, design, realization and measurements of an X-band isoflux circularly polarized antenna for LEO satellite platforms are presented. The antenna is based on a metasurface composed by a dense texture of sub-wavelength metal patches on a grounded dielectric slab, excited by a surface wave generated by a coplanar feeder. The antenna is extremely flat (1.57 mm) and light (less than 1Kg) and represents a competitive solution for space-to-ground data link applications.Index Terms-Leaky wave antennas, surface impedance, holographic antennas.

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Section: B Cylindrically Modulated Periodic Reactancementioning

confidence: 99%

“…The overall antenna structure is analyzed by using a Method of Moment code based on the MultiLayer Adaptive Integral Method (MLayAIM) [10]- [11], which is highly suitable for the analysis of multilayered patch antenna arrays with a limited number of vertical conductors. Fig.…”

Section: B Analysis and Optimizationmentioning

confidence: 99%

A Circularly-Polarized Isoflux Antenna Based on Anisotropic Metasurface

Minatti

Maci

Vita

et al. 2012

IEEE Trans. Antennas Propagat.

218

124

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show abstract

“…Thus, weights are changed according to a suitable learning rule, until the error on the ANN outputs is minimized [19].…”

Section: Neural Network Trainingmentioning

confidence: 99%

Optimization of a Dual Ring Antenna by Means of Artificial Neural Network

Manh¹,

Grimaccia²,

Mussetta³

et al. 2014

PIER B

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Abstract-In literature, heuristic algorithms have been successfully applied to a number of electromagnetic problems. The associated cost functions are commonly linked to full-wave analysis, leading to complexity and high computational expense. Artificial Neural Network is one of the most effective biological inspired techniques. In this article, an efficient surrogate model is trained to replace the full-wave analysis in optimizing the bandwidth of microstrip antenna. The numerical comparison between ANN substitution model and full-wave characterization shows significant improvements in time convergence and computational cost. To verify the robustness of this approach, all these concepts are integrated into a case study represented by a rectangular ring antenna with proximity-coupled feed antenna.

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“…In the standard SFX-MoM scheme, the matrix filling time is that of the standard MoM, i.e., , where is a constant that depends on the (average) complexity of computing one reaction integral. Each compressed matrix (2) is obtained with a computational cost ; since the entire consists of blocks, the total computational complexity for the compression results to be (8) Thus, the overall complexity to build the matrix is (9) Concerning the required dynamic memory, it is essentially due to the storage to which we have to add a small amount equal to that necessary to store the largest compression matrix plus the largest matrix block, i.e., . As seen above, and well known (e.g., [2]), the cost of computing the compressed matrix in all DD methods (like SFX, CBF, etc.)…”

Section: Sf Approach To Ddmentioning

confidence: 99%

“…The proposed method is more general than the one in [6] and can be applied to both scattering and antenna problems, without any limitation on the size and location of the radiating elements. Furthermore, it can be applied in a simple manner also to multilayer structures when the formulation in [9] is used instead of classical AIM. As alluded above, a prototypical version of this endeavor was reported in the conference paper [10].…”

Section: Introductionmentioning

confidence: 99%

Fast-Factorization Acceleration of MoM Compressive Domain-Decomposition

Freni

Vita

Pirinoli

et al. 2011

IEEE Trans. Antennas Propagat.

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Domain-decomposition (DD) for Integral Equation can be achieved by aggregating standard basis functions into specialized basis functions on each sub-domain; this results in a strong compression of the MoM matrix, which allows an iteration-free (e.g., LU decomposition) solution also for electrically large problems. Fast matrix-vector product algorithms can be used in the matrix filling and compression process of the employed aggregate-functions approach: this hybrid approach has received considerable attention in recent literature. In order to quantitatively assess the performance, advantages and limitations of this class of methods, we start by proposing and demonstrating the use of the Adaptive Integral Method (AIM) fast factorization to accelerate the Synthetic Function eXpansion (SFX) DD approach. The method remains iteration free, with a significant boost in memory and time performances, with analytical predictions of complexity scalings confirmed by numerical results. Then, we address the complexity scaling of both stand-alone DD and its combined use with fast MoM; this is done analytically and discussed with respect to known literature accounts of various implementations of the DD paradigm, with nonobvious results that highlight needs and limitations, and yielding practical indications.Index Terms-Adaptive integral method, aggregate functions, domain decomposition, fast methods, moment method, numerical methods.

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An Efficient Technique for the Analysis of Large Multilayered Printed Arrays

Cited by 18 publications

References 16 publications

A Circularly-Polarized Isoflux Antenna Based on Anisotropic Metasurface

A Circularly-Polarized Isoflux Antenna Based on Anisotropic Metasurface

Optimization of a Dual Ring Antenna by Means of Artificial Neural Network

Fast-Factorization Acceleration of MoM Compressive Domain-Decomposition

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