EM Performance Analysis of Radomes With Material Properties Errors

Xu, Wanye; Duan, Baoyan; Li, Peng; Qiu, Yuanying; Zong, Yali

doi:10.1109/lawp.2014.2320898

Cited by 18 publications

(5 citation statements)

References 6 publications

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“…Dielectric materials are widely used to implement microwave and millimeter wave components, such as capacitors, antennas, and radomes. 1,2 It is crucial to use a dielectric material with the right relative permittivity (ε ′ r ) and loss tangent (tan δ) to tune the impedance and estimate the frequency-dependent loss of a component. 3 In this context, an accurate technique for characterization ε ′ r and tan δ over a broad bandwidth is called for.…”

Section: Introductionmentioning

confidence: 99%

“…Dielectric materials are widely used to implement microwave and millimeter wave components, such as capacitors, antennas, and radomes 1,2 . It is crucial to use a dielectric material with the right relative permittivity (

{\varepsilon }_{{\rm{r}}}^{^{\prime} }

) and loss tangent (tan

\delta

) to tune the impedance and estimate the frequency‐dependent loss of a component 3 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deep neural network for retrieving material's permittivity from S‐parameters

Chrek

Nov

Chung

2022

Micro & Optical Tech Letters

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This research proposed a deep neural network (DNN) model employing a multilayer feedforward artificial neural network to characterize the relative permittivity and loss tangent of a solid sample in a broad frequency range from 1 to 10 GHz. The method exploited a grounded coplanar waveguide as a measurement fixture, and a vast amount of data was obtained from full-wave simulations. The latter was used to train the proposed DNN model. We performed parametric studies to examine optimal DNN hyperparameters and improve the efficiency of the material property retrieval process. The proposed model was validated by retrieving the relative permittivity and loss tangent of a known substrate. The results show good agreement with the known reference values with a slight error of 1.2%.

show abstract

Section: Introductionmentioning

confidence: 99%

{\varepsilon }_{{\rm{r}}}^{^{\prime} }

) and loss tangent (tan

\delta

) to tune the impedance and estimate the frequency‐dependent loss of a component 3 .…”

Section: Introductionmentioning

confidence: 99%

Deep neural network for retrieving material's permittivity from S‐parameters

Chrek

Nov

Chung

2022

Micro & Optical Tech Letters

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show abstract

“…Based on the literature review [5–32], this paper presents a novel controllable and secure communication technique for an antenna‐radome system. It is not only applicable to airborne radomes but also to ground applications.…”

Section: Introductionmentioning

confidence: 99%

“…It also describes the performance analysis of an inhomogeneous radome through comparison with the variable thickness radome. The variable thickness radomes are half‐wave wall radomes that are known to be narrow banded inherently and are sensitive to errors during manufacturing process [14]. The comparison of BSE and transmission loss (TL) with variable thickness radomes is presented in [15].…”

Section: Introductionmentioning

confidence: 99%

Design of FSS‐antenna‐radome system for airborne and ground applications

2021

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Radome being an RF window and support structure for an antenna system is a very critical element of terrestrial and airborne radar systems. This paper presents an efficient X-band frequency select surface (FSS)-antenna-radome system for airborne and ground applications. In the first step, an optimum wall configuration with lowest insertion loss is found out of A-sandwich, C-sandwich and multilayers wall configurations. In the second step, two 5×5 arrays (FSS screens) are designed that cover the whole antenna face in the broadside direction for a controlled and secure communication system. A slotted array on a dielectric substrate gives a bandpass feature with antenna for radome operation. A dipole array on a dielectric substrate gives a broader bandwidth with antenna somewhat different from antenna alone. It makes the antenna to stop radiating for a specific band. So, it gives bandstop feature. This proposed FSS-antenna-radome system is demonstrated with an X-band high directional horn antenna over the frequency range 9.4-16 GHz under a sandwich-wall dielectric radome. The bandpass and bandstop features make this proposed FSS-antennaradome a good candidate for ground and airborne applications for secure communications. In bandpass feature, antenna becomes inaccessible to other antennas/radars except a narrow band.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Among the former, the method based on the computation of the incident field on the inner radome surface followed by integration, on the outer surface, of the transmitted field is commonly known as ray-tracing method. This method assumes that the fields radiate from the antenna aperture like a bunch of rays and transmit through the radome as the wall is locally plane at each intercept point [11]. Moreover, ray techniques have been widely used for describing propagation through a radome wall both in their classical form and by employing the recently proposed evolutionary concept such as 2D or 3D ray-tracing and complex ray-tracing [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Performance Degradation Introduced by Radome for High-Precision GNSS Antenna

Liu

Zuo

et al. 2019

International Journal of Antennas and Propagation

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High-precision global navigation satellite system (GNSS) antennas employed on the fixed ground station are usually equipped with radomes, which are potential in yielding degradation of key parameters of antenna such as axial ratio and gain. This paper presents a study on the deterioration of high-precision GNSS antenna caused by the radome using electrically EM simulations including comparison of different geometries, materials, and heights of radome. Based on the study, an optimized radome model is proposed to minimize the axial ratio and gain degradation of antenna. Finally, a prototype of proposed radome is fabricated and measured. A good agreement between simulated and measured results evidently illustrates that the geometry, material, and height of radome are set appropriately.

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EM Performance Analysis of Radomes With Material Properties Errors

Cited by 18 publications

References 6 publications

Deep neural network for retrieving material's permittivity from S‐parameters

Deep neural network for retrieving material's permittivity from S‐parameters

Design of FSS‐antenna‐radome system for airborne and ground applications

Analysis of Performance Degradation Introduced by Radome for High-Precision GNSS Antenna

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