A Wideband Corrugated Ridged Horn Antenna With Enhanced Gain and Stable Phase Center for X- and Ku-Band Applications

Manshari, Saeed; Koziel, Slawomir; Leifsson, Leifur

doi:10.1109/lawp.2019.2908290

Cited by 28 publications

(15 citation statements)

References 21 publications

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“…However, the design of a corrugated horn having the required phase center stability should take into account additional aspects: the difference of the phase center for the E‐plane and the H‐plane, 12 the inconsistency of the phase center within a broad band, 13 and the phase fluctuation within a wide angle 14 . When the QZ of the CATR has high index requirements, the phase stability of the feed will become an important factor limiting its performance.…”

Section: Introductionmentioning

confidence: 99%

Corrugated horn with stable phase center for Ka‐band compact antenna test range measurement systems

Cai

Zhou

Weng

et al. 2022

Int J RF Mic Comp-Aid Eng

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In this article, a corrugated horn feed antenna with a stable phase center is designed for the millimeter wave compact antenna test range (CATR). The calculation method of the phase center of a horn is analyzed in this article.The 45 -plane phase center is used as the combined phase center of the horn in order to perform the phase center calculation only once, thus faster, and to optimize the phase performance more conveniently. By adding an absorbing material surrounding the edge of the outer surface of the horn, the irregular currents on the outer surface of the horn are suppressed, thus achieving a more stable phase center. The absorbing material can also reduce the radar cross section of the antenna. The designed corrugated horn works in the 24-40 GHz wide band with the following performances: the deviation of the phase center in the working frequency band is less than ±0.25 mm, the phase variation within a ±30 beam width is less than ±2.5 . Moreover, the measured return loss is lower than À10 dB, the measured gain is 8-12 dBi, and the measured cross-polarization level is less than À30 dB. The beamwidth is about 56 -70 in the whole band, and the beamwidth difference between different planes is less than 5 . The achieved targets listed above makes the proposed corrugated horn suitable for very precise antenna measurements in CATR systems.

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Section: Introductionmentioning

confidence: 99%

Corrugated horn with stable phase center for Ka‐band compact antenna test range measurement systems

Cai

Zhou

Weng

et al. 2022

Int J RF Mic Comp-Aid Eng

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“…Full-wave electromagnetic (EM) simulation has become the single most important tool in a practical design of contemporary antenna structures. Apart from the rough conceptual development, EM analysis is ubiquitous throughout all other design stages, including parametric studies (conducted to verify the relevance of the introduced topological modifications and to yield a reasonable initial design for further tuning) as well as the final parameter adjustment [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging

Pietrenko‐Dabrowska

Koziel

2020

IEEE Access

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Utilization of fast surrogate models has become a viable alternative to direct handling of full-wave electromagnetic (EM) simulations in EM-driven design. Their purpose is to alleviate the difficulties related to high computational cost of multiple simulations required by the common numerical procedures such as parametric optimization or uncertainty quantification. Yet, conventional data-driven (or approximation) modeling techniques are severely affected by the curse of dimensionality. This is a serious limitation when it comes to modeling of highly nonlinear antenna characteristics. In practice, general-purpose surrogates can be rendered for the structures described by a few parameters within limited ranges thereof, which is grossly insufficient from the utility point of view. This paper proposes a novel modeling approach involving variable-fidelity EM simulations incorporated into the recently reported nested kriging modeling framework. Combining the information contained in the densely sampled lowand sparsely sampled high-fidelity models is realized using co-kriging. The resulting surrogate exhibits the predictive power comparable to the model constructed using exclusively high-fidelity data while offering significantly reduced setup cost. The advantages over conventional surrogates are pronounced even further. The presented modeling procedure is demonstrated using two antenna examples and further validated through the application case studies. INDEX TERMS Antenna design, surrogate modeling, kriging interpolation, co-kriging, electromagnetic (EM) simulation.

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“…The entire design process has become an EM-driven task, from the topology evolution stage 9 to the final tuning of geometry parameters. 10 More often than not, the design closure is nowadays performed through numerical optimization, 11 to permit handling of multiple performance figures and simultaneous adjustment all variables. Yet, the computational overhead of EM-driven design may prove unacceptable even in the case of local optimization, 12 let alone global search procedures, 13 typically involving population-based metaheuristics.…”

Section: Introductionmentioning

confidence: 99%

“…Electromagnetic (EM) simulation becomes imperative for their reliable evaluation but also the design process itself: simpler models are not available or lack the accuracy. The entire design process has become an EM‐driven task, from the topology evolution stage 9 to the final tuning of geometry parameters 10 . More often than not, the design closure is nowadays performed through numerical optimization, 11 to permit handling of multiple performance figures and simultaneous adjustment all variables.…”

Section: Introductionmentioning

confidence: 99%

Cost‐efficient performance‐driven modelling of multi‐band antennas by variable‐fidelity electromagnetic simulations and customized space mapping

Koziel

Pietrenko‐Dabrowska

2020

Int J Numerical Modelling

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Electromagnetic (EM) simulations have become an indispensable tool in the design of contemporary antennas. EM-driven tasks, for example, parametric optimization, entail considerable computational efforts, which may be reduced by employing surrogate models. Yet, data-driven modelling of antenna characteristics is largely hindered by the curse of dimensionality. This may be addressed using the recently reported domain-confinement techniques, especially the nested-kriging framework, which permits rendering of reliable surrogates over wide ranges of antenna parameters while greatly reducing the computational overhead of training data acquisition. Focused on modelling of multi-band antennas, this paper attempts to reduce the cost of surrogate construction even further by incorporating variable-fidelity simulations into the nested kriging. The principal challenge being design-dependent frequency shifts between the models of various fidelities is handled through the development of a customized frequency scaling and output space mapping. Validation is carried out using a dual-band dipole antenna modeled over broad ranges of operating conditions. A small training data set is sufficient to secure the predictive power comparable to that of the nested kriging model set up using solely high-fidelity data, and by far exceeding the accuracy of conventional surrogates. Application examples for antenna optimization and experimental verification of the selected designs are also provided.

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A Wideband Corrugated Ridged Horn Antenna With Enhanced Gain and Stable Phase Center for X- and Ku-Band Applications

Cited by 28 publications

References 21 publications

Corrugated horn with stable phase center for Ka‐band compact antenna test range measurement systems

Corrugated horn with stable phase center for Ka‐band compact antenna test range measurement systems

Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging

Cost‐efficient performance‐driven modelling of multi‐band antennas by variable‐fidelity electromagnetic simulations and customized space mapping

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