Improvement of DDM Preprocessing for the Simulation of the GRAVES Radar Densified Sparse Array for Space Surveillance and Tracking

Barka, André; Barka, André

doi:10.1109/lawp.2020.3004925

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…This particularity comes from the fact that we have chosen to assign a computing core to each sub-domain even to those of smaller size located in the lens. A significant reduction in memory occupation could be obtained by allocating several sub-domains to a computing core as proposed in [21]. Finaly, we gain a factor of 10 in simulation time at 20 GHz an a factor of 26 at 30 GHz compared to the MLFMM, but the strategy for using the computational cores (which is not optimal here) for this FETI-2LM simulation requires 303 more memory than MLFMM method.…”

Section: Table V Configurations Of Machines Usedmentioning

confidence: 99%

“…Nevertheless, our domain decomposition implementation (number of unknowns in the sub-domain) is not optimal for this TA simulation. As a consequence we can optimize the use of the memory of each of the computational cores following the procedure recently proposed in [21] resulting in important savings in memory and computation time. Indeed, based on the Tab.…”

Section: Table V Configurations Of Machines Usedmentioning

confidence: 99%

“…Section III completely describes the geometry of the 30 dBi dual-band TA, as well as cross comparison of FACTOPO (FETI-2LM) simulation results with CST simulation results (TLM and MLFMA) and experimental results. Finally, section IV discusses the efficiency of parallel computation using the new FETI-2LM implementation and gives, by extrapolation, an estimation of the memory and number of computing cores required for a 40 dBi TA simulation, following a recent improvement of the FETI-2LM preprocessing for space radar surveillance [21].…”

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confidence: 99%

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Applying Massively Parallel Computing to Multiscale Ka Dual-Band Transmit-Array Analysis Using FETI-2LM

Barka

Matos

Costa

et al. 2020

IEEE J. Multiscale Multiphys. Comput. Tech.

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Transmit-arrays (TAs) are a popular cost-effective solution for high-gain antennas at millimeter waves (mmW). The design of these antennas relies on the fine tuning of the subwavelength unit-cells that compose the aperture. The intricacy of the unit-cells increases as new features are implemented, such as dual-band operation and wide-angle beam steering, making this antenna even more computationally challenging. In this work, a high gain (25 dBi @ 20 GHz and 28 dBi @ 30 GHz) multiscale Ka dual-band TA for beam-steering applications is analyzed using a massively parallel implementation on multicores clusters of the Finite Element Tearing and Interconnecting method, with a two Lagrange Multiplier (FETI-2LM) technique. The main contribution of this work is the implementation of 3D non-periodic grids with sub-domains of different scales, that is suitable for proper modelling of different regions of the antenna (horn feed, lens cells, air region). An automatic batch file procedure is proposed for the TA meshing, allowing the limited set of constitutive unit-cells of the TA to be meshed separately. Additionally, we are using a block-Krylov strategy to efficiently capture the TA beam-steering capability, without restarting from scratch the interface problem for each feed position. Since other Finite Element Method (FEM) results were not accessible due the size of the problem, the FETI-2LM numerical results provided in this work are compared with other MultiLevel Fast Multipole Method (MLFMM) [1] and Transmission Line Modeling Method (TLM) [2] of CST Microwave Studio solvers, as well as with the measured results of the corresponding Ka dual-band prototype. The computational infrastructure has been used only a fraction of its capacity. Therefore, a much higher gain design (40 dBi) can be assessed, opening a new realm of applicability of TAs in the space segment usually occupied by reflector-based solutions.

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Section: Table V Configurations Of Machines Usedmentioning

confidence: 99%

Section: Table V Configurations Of Machines Usedmentioning

confidence: 99%

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confidence: 99%

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Applying Massively Parallel Computing to Multiscale Ka Dual-Band Transmit-Array Analysis Using FETI-2LM

Barka

Matos

Costa

et al. 2020

IEEE J. Multiscale Multiphys. Comput. Tech.

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“…However, the methodology to extract the scattering matrix of the array is based on a mix of periodic approximations (for the center elements) and partial local embedded zones for the border elements of the array. In this work, so as to efficiently calculate the embedded radiation patterns of all the radiating elements (internal and boundary radiating elements) as well as the complete Scattering Matrix [6] of the array, we discuss the interest of the implementation of the FETI-2LM domain decomposition methods taking into account the finitude o f t he a rray on massively parallel computers initially developed in [14] and optimized in [15] and [16] for large size sparse arrays. The main goal is to implement a method allowing in a first step to calculate the radiating elements radiation patterns and the GSM of the array, and in a second post processing step to calculate the gain patterns of the antenna array for azimuth and elevation scanning directions while taking into account the active reflection c oefficient.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Active Reflection Coefficient Phenomena of Large Antenna Array Using FEM Domain Decomposition Methods

Barka

Jacquinot²

2020

Antennas Wirel. Propag. Lett.

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This paper proposes the application of the Finite Element Tearing and Interconnecting method (FETI-2LM) a Domain Decompositon Method (DDM) [1], [2] for the full-wave simulation of large antenna array (few thousands of radiating elements). The proposed methodology makes it possible to efficiently calculate in a post-processing step the antenna patterns for steering directions within the desired field of view while taking into account the active reflection coefficients. The methodology is based on an efficient extraction of the embedded radiating elements far field radiation patterns as well as the Generalized Scattering Matrix (GSM) [3] of the array by implementing massively parallel computers. The beauty of the GSM is its capability to handle the active S-parameters independently of the steering direction. This permits to generate the angulardependent active reflection coefficients by post-processing. This implementation is a step forward to provide us with a tool that permits to evaluate by simulation large antenna array while taking into account all the phenomena and interactions that may degrade the key performances that are required at a higher level, to specify a global system before fabrication.

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Improvement of DDM Preprocessing for the Simulation of the GRAVES Radar Densified Sparse Array for Space Surveillance and Tracking

Cited by 2 publications

References 8 publications

Applying Massively Parallel Computing to Multiscale Ka Dual-Band Transmit-Array Analysis Using FETI-2LM

Applying Massively Parallel Computing to Multiscale Ka Dual-Band Transmit-Array Analysis Using FETI-2LM

Simulation of Active Reflection Coefficient Phenomena of Large Antenna Array Using FEM Domain Decomposition Methods

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