Patch Antenna Array Designs for Wireless Communication Applications Inside Jet Engines

Krishna, A.; Abdelaziz, A. F.; Khattab, Tamer

doi:10.1109/tap.2018.2882614

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Design of contemporary antenna structures is to a large degree based on full-wave electromagnetic (EM) simulation models 1 – 4 , which are used for the development of antenna topology 5 , parametric studies 6 , as well as geometry adjustment 7 , 8 . The need for EM analysis arises from the fact that alternative representations (e.g.…”

Section: Introductionmentioning

confidence: 99%

Two-stage variable-fidelity modeling of antennas with domain confinement

Pietrenko‐Dabrowska

Kozieł

Golunski

2022

Sci Rep

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Surrogate modeling has become the method of choice in solving an increasing number of antenna design tasks, especially those involving expensive full-wave electromagnetic (EM) simulations. Notwithstanding, the curse of dimensionality considerably affects conventional metamodeling methods, and their capability to efficiently handle nonlinear antenna characteristics over broad ranges of the system parameters is limited. Performance-driven (or constrained) modeling frameworks may be employed to mitigate these issues by considering a construction of surrogates from the standpoint of the antenna performance figures rather than directly geometry parameters. This permits a significant reduction of the model setup cost without restricting its design utility. This paper proposes a novel modeling framework, which capitalizes on the domain confinement concepts and also incorporates variable-fidelity EM simulations, both at the surrogate domain definition stage, and when rendering the final surrogate. The latter employs co-kriging as a method of blending simulation data of different fidelities. The presented approach has been validated using three microstrip antennas, and demonstrated to yield reliable models at remarkably low CPU costs, as compared to both conventional and performance-driven modeling procedures.

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Section: Introductionmentioning

confidence: 99%

Two-stage variable-fidelity modeling of antennas with domain confinement

Pietrenko‐Dabrowska

Kozieł

Golunski

2022

Sci Rep

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A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments

Gaus

Schwarz

Boercsoek

2020

Saf. Extreme Environ.

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This paper presents an approach to a real-time optimization of safety parameters in wireless communication systems. When considering the GEC-model (Generalized Erasure Channel) and the black channel design of a communication channel, then the PFH (Probability of Failure per Hour) value can be estimated using the parameters ε-BER (bit-error-rate), φ-BLR (bit-lossrate), vnumber of safety related messages per second, nmessage length and d minminimum distance of a linear code. The number of safety related messages per second v and the message length n, including the information block k and the checksum block r, can be varying between the permissible bounds. Accordingly, the variable parameters can be adjusted at run-time with additional assimilation of the used cyclic code. It allows the real-time prediction and optimization of the safety parameters. In this paper, the concept of the parameter estimation is discussed and based on it the optimization problem is defined.

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Knowledge-based performance-driven modeling of antenna structures

Kozieł

Pietrenko‐Dabrowska

2022

Knowledge-Based Systems

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Patch Antenna Array Designs for Wireless Communication Applications Inside Jet Engines

Cited by 5 publications

References 16 publications

Two-stage variable-fidelity modeling of antennas with domain confinement

Two-stage variable-fidelity modeling of antennas with domain confinement

A theoretical approach to a safety-based predictive adaptation of wireless communication channel parameters in harsh environments

Knowledge-based performance-driven modeling of antenna structures

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