CN114420224A - Prediction method applied to wave transmission performance of 5G communication foam antenna housing - Google Patents

Prediction method applied to wave transmission performance of 5G communication foam antenna housing Download PDF

Info

Publication number
CN114420224A
CN114420224A CN202111571647.6A CN202111571647A CN114420224A CN 114420224 A CN114420224 A CN 114420224A CN 202111571647 A CN202111571647 A CN 202111571647A CN 114420224 A CN114420224 A CN 114420224A
Authority
CN
China
Prior art keywords
wave
gas
transmission
foam
solid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111571647.6A
Other languages
Chinese (zh)
Other versions
CN114420224B (en
Inventor
龚鹏剑
李光宪
张博文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Long Chain Light Material Nanjing Technology Co ltd
Jiangsu Jitri Advanced Polymer Materials Research Institute Co Ltd
Original Assignee
Long Chain Light Material Nanjing Technology Co ltd
Jiangsu Jitri Advanced Polymer Materials Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Long Chain Light Material Nanjing Technology Co ltd, Jiangsu Jitri Advanced Polymer Materials Research Institute Co Ltd filed Critical Long Chain Light Material Nanjing Technology Co ltd
Priority to CN202111571647.6A priority Critical patent/CN114420224B/en
Publication of CN114420224A publication Critical patent/CN114420224A/en
Application granted granted Critical
Publication of CN114420224B publication Critical patent/CN114420224B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention relates to a method for predicting wave transmission performance of a 5G communication foam antenna housing, and belongs to the technical field of porous foam material performance prediction. The wave-transmitting rate and the dielectric constant of the foamed material are obtained through abstract representation of a foam cell model of the foamed material and a mathematical model of an electromagnetic wave passing phenomenon, so that whether the foamed material is suitable for a wave-transmitting material of an antenna housing or not is rapidly analyzed, the material selection efficiency in production is improved, and the problems mentioned in the background technology are solved.

Description

Prediction method applied to wave transmission performance of 5G communication foam antenna housing
Technical Field
The invention relates to the technical field of antenna housing design, in particular to a wave transmission performance prediction model for predicting that 5G communication electromagnetic waves pass through foams.
Background
The fifth generation mobile communication technology (5th generation mobile networks) is the latest generation cellular mobile communication technology. The 5G has the characteristics of large-scale integration, high frequency and high spectral efficiency. In the process of building the 5G base station, due to the high-frequency characteristic (capable of reaching millimeter waves) and the denser antenna array, the antenna length is in direct proportion to the wavelength, so that an antenna array with the antenna distance being more than half wavelength is built in the equipment. This also results in more interference between the antennas. On the basis, all small-size antennas need to be provided with the antenna housing to resist the change of the outdoor environment, so that the antenna housing not only needs to have good light resistance, ageing resistance and mechanical property, but also needs to have a low dielectric constant. New materials with lower dielectric constants and better wave permeability would be in great demand.
The micro-nano porous foaming material prepared by the supercritical carbon dioxide foaming process has attracted extensive attention in the new material industry due to the advantages of light weight, low dielectric, high wave-transmitting property, chemical corrosion resistance, green processing and the like. Particularly, for the antenna housing, the foaming material has extremely high air content, obtains the characteristic similar to air, and can be called as 'solidified air', so that the transmission influence of the antenna housing on electromagnetic waves is reduced to an extremely low interval, and the material is an ideal antenna housing material.
In the existing method for testing dielectric properties of materials, high-frequency testing based on a vector network analyzer and low-frequency testing based on a broadband dielectric spectrum are common. In actual operation, a common testing method is to select several kinds of foaming base materials, then foam the foaming base materials, process the foaming sample into a shape required by the test, and then perform the test. This process not only requires the equipment to be completely machined and characterized, but also costs and time. Therefore, simulation software is needed to predict the wave-transmitting performance of the foaming material in the development and test of the material, so as to guide material selection and process selection. However, the existing simulation software cannot perfectly simulate the wave-transparent behavior and parameters of the foaming material from various details.
Disclosure of Invention
The invention aims to provide a method for predicting the wave transmission performance of a 5G communication antenna cover, which obtains the wave transmission rate and the dielectric constant of a foamed material by abstract representation of a foam material bubble hole model and a mathematical model of an electromagnetic wave passing phenomenon, thereby quickly analyzing whether the material is suitable for the wave transmission material of the antenna cover, improving the material selection efficiency in production and further solving the problems mentioned in the background technology.
The technical scheme is as follows:
a prediction method applied to wave transmission performance of a 5G communication foam antenna cover comprises the following steps:
step 1, setting structural parameters of a porous foaming material;
step 2, obtaining an expression of the distribution probability of the incident angle theta of the electromagnetic waves on the cell walls;
step 3, calculating transmission parameters of electromagnetic wave transmission in the foam holes;
step 4, calculating the wave-transmitting performance of the whole porous foaming material according to the transmission parameters obtained in the step 3;
in the step 2, the electromagnetic wave is an electromagnetic wave in a GHz frequency band, and covers P, L, S, C, X, Ku, K, Ka, U, V and W.
In step 3, the transmission parameters of the electromagnetic wave transmission in the cells include: the solid-to-gas and gas-to-solid reflection coefficients of p-waves and s-waves, and the solid-to-gas and gas-to-solid transmission coefficients; wherein p-wave refers to an electromagnetic vector wave parallel to the incident surface, and s-wave is an electromagnetic vector wave perpendicular to the incident surface.
Reflection coefficient of solid to gas phase for s-wave ρsgAnd the reflection coefficient p from gas phase to solid phasegsThe calculation is as follows:
Figure BDA0003423497830000021
reflection coefficient of solid phase to gas phase for p-wave
Figure BDA0003423497830000022
And reflection coefficient from gas phase to solid phase
Figure BDA0003423497830000023
The calculation is as follows:
Figure BDA0003423497830000024
ngis the refractive index of the gas, n is the refractive index of the solid phase;
Figure BDA0003423497830000025
ε 'is the real part of the dielectric constant and ε' is the dielectric loss;
for S-wave, solid to gas phase transmission coefficient:
Figure BDA0003423497830000026
gas phase to solid phase transmission coefficient:
Figure BDA0003423497830000027
for P-wave, solid to gas transmission coefficient:
Figure BDA0003423497830000031
gas phase to solid phase transmission coefficient:
Figure BDA0003423497830000032
where n is the real part of the refractive index, k is the imaginary part of the refractive index, ngIs the refractive index of the gas, theta1Is the angle of incidence, θ2Is the angle of refraction.
In the step 2, the expression is a third-order polynomial equation; and the parameters in the expression are obtained by fitting.
The expression of the third-order polynomial equation is as follows: p (theta) ═ P1·θ3+p2·θ2+p3·θ+p4Wherein p is1-p4Are coefficients of a fitting polynomial.
In step 4, the electromagnetic wave transmittance of the whole foam is as follows:
T=T1 α(ii) a Alpha is the number of the electromagnetic waves penetrating through the wall of the bubble hole;
Figure BDA0003423497830000033
wherein, Tf=(Tf1s+Tf2p)/2;
Tf1sAnd Tf2pThe transmission coefficients of solid phase to gas phase and gas phase to solid phase of s wave and p wave are substituted into the following formula to calculate:
Figure BDA0003423497830000034
in the step 4, the method further comprises calculating the reflectivity of the whole foam, and the process is as follows:
Figure RE-GDA0003558144610000035
Figure BDA0003423497830000036
Rfcalculated by the following formula:
Figure BDA0003423497830000037
in the step 4, the method further comprises a step of calculating the equivalent complex dielectric constant of the whole foam material, and the calculation formula is as follows:
Figure BDA0003423497830000041
wherein,
Figure BDA0003423497830000042
c is the speed of light, murComplex permeability, and ω angular frequency.
Advantageous effects
Compared with the traditional simulation mode such as FTDT, the model has the following advantages:
(1) the change of the transmissivity, the reflectivity and the absorptivity along with the frequency, the cell structure (size) and the foaming multiplying power can be directly obtained; (2) predicting the wave-transparent performance variation trend of the material in the frequency range which cannot be tested by equipment; (3) the calculation speed is high, and the cost of material characterization is reduced; (4) the model is sensitive to the dielectric constant of the material body, and the accuracy is higher; (5) the model is mainly suitable for closed-cell foam and is suitable for the main foaming materials at present.
Drawings
FIG. 1 is a schematic representation of electromagnetic waves traversing a cell;
FIG. 2 is a histogram of the distribution of electromagnetic waves incident at various angles;
FIG. 3 is a schematic view of the shape of sections in a block of foam;
FIG. 4 is a simulation of electromagnetic wave incidence for polypropylene at different thicknesses at 100 GHz;
FIG. 5 is the influencing factors for different expansion ratios and cell diameters;
FIG. 6 is a comparison of free space method test and simulation results;
Detailed Description
The following describes the modeling process of the method of the present invention in detail:
the first step is as follows: when electromagnetic waves are incident to the foam material, the incident angle distribution of each foam hole is regular. First, the cell distribution was simulated according to the Voroni method.
As shown in fig. 1, a thick line shows the cell wall through which the electromagnetic wave needs to pass when passing through each cell on a straight line, ten thousand cells are randomly generated by using Matlab statistics that the electromagnetic wave passes through a section of 10 × 10mm, nine paths are selected for statistics, and the distribution of angles on each path is counted by repeating ten thousand times. After several calculations, the resulting cell wall distributions are found to have a certain quantitative relationship, as shown in FIG. 2:
the method sets the distribution probability of the electromagnetic waves to the incident angle theta of the cell wall to accord with a third-order polynomial equation.
Fitting the above results to obtain:
Figure BDA0003423497830000051
the value of P represents the probability of the distribution of electromagnetic waves at randomly generated cell wall incident angles θ. p is a radical of1-p4Are coefficients of a fitting polynomial.
The second step is that: according to the known incident rule of the electromagnetic wave on the angle of the bubble wall, calculating the integral of the transmission behavior of the electromagnetic wave in one bubble on the incident angle distribution, and showing the transmission behavior of the electromagnetic wave of the whole bubble.
According to the cell diameter deltacThe foaming ratio b, the real part epsilon 'and dielectric loss epsilon' of the dielectric constant of the raw material, the frequency f of incident electromagnetic waves, the thickness L of the foamed material, and relevant independent variables are input to divide different materials.
The dielectric constant epsilon 'and the dielectric loss epsilon' are converted into a complex refractive index and a real part of the refractive index
Figure BDA0003423497830000052
Imaginary refractive index (absorption coefficient)
Figure BDA0003423497830000053
Porosity of the material
Figure BDA0003423497830000054
Thereby obtaining the thickness of the cell wall
Figure BDA0003423497830000055
cCell diameter).
In the aspect of electromagnetic waves, p waves and s waves are the following for the vector vibration direction of the electromagnetic waves: the electromagnetic wave vector is decomposed into two vibration directions perpendicular to each other, the former is called a parallel component and is denoted by "p", and the latter is called a perpendicular component and is denoted by "s", in an incident plane (a plane formed by the electromagnetic wave vector and an interface normal) and in two directions perpendicular to the incident plane. The calculation takes different incidence situations of the p wave and the s wave into consideration. The gas-solid reflectivity and transmittance and the solid-gas reflectivity and transmittance are also considered when the same electromagnetic wave beam propagates in the wall of one bubble hole. According to the fresnel theorem, the following calculation is performed:
for incident waves (s-waves) with electromagnetic waves perpendicular to the cell surface, ngIs the refractive index of the gas, n is the refractive index of the solid phase, theta1Is the angle of incidence, θ2Angle of refraction, reflection coefficient from solid to gas and gas to solid:
Figure BDA0003423497830000056
for an incident wave of electromagnetic waves parallel to the cell surface (p-wave), the reflection coefficients of solid to gas and gas to solid:
Figure BDA0003423497830000057
also, according to fresnel theorem, for s-waves, the transmission coefficient of solid phase to gas phase:
Figure BDA0003423497830000061
transmission coefficient from gas phase to solid phase:
Figure BDA0003423497830000062
for p-wave, solid to gas transmission coefficient:
Figure BDA0003423497830000063
transmission coefficient from gas phase to solid phase:
Figure BDA0003423497830000064
the reflectivity of the cell walls can be calculated as:
Figure BDA0003423497830000065
wherein λ is the wavelength;
the transmission of the cell walls can be calculated as:
Figure BDA0003423497830000066
respectively substituting the two transmission coefficients of the s wave and the p wave from the gas phase to the solid phase and from the solid phase to the gas phase into a transmissivity calculation formula to obtain Tf1sAnd Tf2pLet Tf=(Tf1s+Tf2p) And/2, considering that the incident angles of the electromagnetic waves in the actual cells are different, assuming that the incident angles are distributed according to a sine function, the transmittance of the final single-layer cell is as follows:
Figure BDA0003423497830000067
the reflectivity of the single-layer cells is:
Figure BDA0003423497830000068
considering the effect of reflection interference between cells on transmission, the electromagnetic wave transmission of the final overall foam is:
T=T1 α(ii) a Alpha is the number of the electromagnetic waves penetrating through the wall of the bubble hole;
total reflectance:
Figure RE-GDA0003558144610000071
for a sample with a thickness of L, according to the formula in the "Nicolson-Ross-Weir (NRW)" coaxial line measuring method, the following are provided:
Figure BDA0003423497830000072
c is the speed of light, murIs complex permeability, ω is angular frequency, R is total reflectivity;
the overall foam equivalent complex dielectric constant is then:
Figure BDA0003423497830000073
and (3) verification of the model:
the method comprises the following steps: firstly, the diameter delta of the foam holecThe foaming ratio b, the dielectric constant ε 'and dielectric loss ε' of the raw material, the frequency f of the incident electromagnetic wave, and the thickness L of the foamed material were all measured statistically. The statistics of the diameter of the cells means that the average area of the cross sections of the cells under a certain quantity is counted under a scanning electron microscope, the average area is converted into a circle with the same area, the diameter of the circle is calculated, and the diameter of the cell is approximately estimated. The foaming ratio is measured by measuring the density of the foam (the foam needs to be hydrophobic) by a drainage method, and dividing the density of the material before foaming by the density of the foam. The dielectric constant and dielectric loss of the raw material can be obtained by a vector network analyzer and a broadband dielectric test spectrum.
Step two: these basic parameters are input into a model to obtain the wave-transmitting rate and the equivalent dielectric constant.
Step three: the obtained result is corrected.
Step four: the frequency, expansion ratio and cell diameter are plotted against the wave transmittance.
First, the wave transmittance of each layer in the foam material under the condition of assuming that the electromagnetic wave is a point-shaped emission source is tested, fig. 3 is a schematic diagram of the shape of each section in a piece of foam material, and the simulation of the schematic diagram is shown in fig. 4 assuming that the electromagnetic wave is a point-shaped light source.
The simulation results for different factors affecting the expansion ratio and cell diameter are shown in fig. 5:
free space method test1,2In comparison with the simulation results, as shown in fig. 6.
The method of the patent has good consistency with the true value through the simulation calculation.
The standard gain horn antenna used for the test is a high definition signal antenna (HD-100 SGA) of the West ampere Hengda microwave technology development limited company, the test frequency range is 8.20GHz-12.40GHz, the test environmental condition is a microwave darkroom, and the standard gain horn antenna is used together with a vector network analyzer.
Reference to the literature
1.Ghodgaonkar D K,Varadan V V,Varadan V K.Free-space measurement of complex permittivity and complex permeability of magnetic materials at microwave frequencies[J].IEEE Transactions on instrumentation and measurement,1990,39(2):387-394.
2.Seo I S,Chin W S.Characterization of electromagnetic properties of polymeric composite materials with free space method[J].Composite Structures,2004,66(1-4):533-542.

Claims (9)

1. A method for predicting wave transmission performance of a 5G communication foam antenna housing is characterized by comprising the following steps:
step 1, setting structural parameters of a porous foaming material;
step 2, obtaining an expression of the distribution probability of the incident angle theta of the electromagnetic waves on the cell walls;
step 3, calculating transmission parameters of electromagnetic wave transmission in the foam holes;
and 4, calculating the wave transmission performance of the whole porous foaming material according to the transmission parameters obtained in the step 3.
2. The method for predicting the wave-transmitting performance of the 5G communication foam radome of claim 1, wherein in the step 2, the electromagnetic wave is an electromagnetic wave in a GHz frequency band, and covers P, L, S, C, X, Ku, K, Ka, U, V and W.
3. The method for predicting the wave-transmitting performance of the 5G communication foam radome of claim 1, wherein in the step 3, the transmission parameters of the electromagnetic wave transmission in the foam pores comprise: the solid-to-gas and gas-to-solid reflection coefficients of p-waves and s-waves, and the solid-to-gas and gas-to-solid transmission coefficients; wherein p-wave refers to an electromagnetic vector wave parallel to the incident surface, and s-wave is an electromagnetic vector wave perpendicular to the incident surface.
4. The method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 1, wherein the reflection coefficient p from the solid phase to the gas phase is s-wavesgAnd the reflection coefficient p from gas phase to solid phasegsThe calculation is as follows:
Figure FDA0003423497820000011
reflection coefficient of solid phase to gas phase for p-wave
Figure FDA0003423497820000012
And reflection coefficient from gas phase to solid phase
Figure FDA0003423497820000013
The calculation is as follows:
Figure FDA0003423497820000014
ngis the refractive index of the gas, n is the refractive index of the solid phase, theta1Is the angle of incidence, θ2Is the angle of refraction;
Figure FDA0003423497820000015
ε 'is the real part of the dielectric constant and ε' is the dielectric loss
Where n is the real part of the refractive index, k is the imaginary part of the refractive index, ngIs the refractive index of the gas.
5. The method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 4, wherein for the S wave, the transmission coefficient from the solid phase to the gas phase is as follows:
Figure FDA0003423497820000016
gas phase to solid phase transmission coefficient:
Figure FDA0003423497820000021
for P-wave, solid to gas transmission coefficient:
Figure FDA0003423497820000022
gas phase to solid phase transmission coefficient:
Figure FDA0003423497820000023
6. the method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 1, wherein in the step 2, the expression is a third-order polynomial equation; and the parameters in the expression are obtained by fitting.
7. The method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 6, wherein the expression of the third-order polynomial equation is as follows: p (theta) ═ P1·θ3+p2·θ2+p3·θ+p4Wherein p is1-p4Are coefficients of a fitting polynomial.
8. The method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 7, wherein in the step 4, the electromagnetic wave transmittance of the whole foam is as follows:
T=T1 α(ii) a Alpha is the number of the electromagnetic waves penetrating through the wall of the bubble hole;
Figure RE-FDA0003558144600000024
wherein, Tf=(Tf1s+Tf2p)/2;
Tf1sAnd Tf2pThe transmission coefficients of solid phase to gas phase and gas phase to solid phase of s wave and p wave are substituted into the following formula to calculate:
Figure RE-FDA0003558144600000025
in the step 4, the method further comprises calculating the reflectivity of the whole foam, and the process is as follows:
Figure RE-FDA0003558144600000026
Figure RE-FDA0003558144600000027
Rfcalculated by the following formula:
Figure RE-FDA0003558144600000031
9. the method for predicting the wave-transmitting performance of the 5G communication foam radome according to claim 8, wherein the step 4 further comprises a step of calculating the equivalent complex dielectric constant of the whole foam material, and the calculation formula is as follows:
Figure FDA0003423497820000032
wherein,
Figure FDA0003423497820000033
c is the speed of light, murComplex permeability, and ω angular frequency.
CN202111571647.6A 2021-12-21 2021-12-21 Prediction method applied to wave-transparent performance of 5G communication foam radome Active CN114420224B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111571647.6A CN114420224B (en) 2021-12-21 2021-12-21 Prediction method applied to wave-transparent performance of 5G communication foam radome

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111571647.6A CN114420224B (en) 2021-12-21 2021-12-21 Prediction method applied to wave-transparent performance of 5G communication foam radome

Publications (2)

Publication Number Publication Date
CN114420224A true CN114420224A (en) 2022-04-29
CN114420224B CN114420224B (en) 2024-05-10

Family

ID=81267905

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111571647.6A Active CN114420224B (en) 2021-12-21 2021-12-21 Prediction method applied to wave-transparent performance of 5G communication foam radome

Country Status (1)

Country Link
CN (1) CN114420224B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115093644A (en) * 2022-07-13 2022-09-23 江苏集萃先进高分子材料研究所有限公司 Polypropylene composite foam material, preparation method and wave-transparent performance prediction method
CN117630049A (en) * 2024-01-25 2024-03-01 香港科技大学(广州) Material electromagnetic parameter extraction method based on machine learning gradient descent algorithm

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107664780A (en) * 2017-10-11 2018-02-06 武汉大学 Dielectric nano brick array structure and its application as high-reflecting film and high transmittance film
CN109115306A (en) * 2018-06-19 2019-01-01 浙江大学 A kind of method of the Jet Penetration Depth of sonic detection jet bubbling reactor
CN109239817A (en) * 2018-11-19 2019-01-18 深圳大学 A kind of permeability improvement device of incident electromagnetic wave and the method for adjusting transmissivity using it
CN111380928A (en) * 2020-03-30 2020-07-07 北京工业大学 Reflection characteristic-based method for detecting wave-absorbing performance of carbon nanotube wave-absorbing material
CN111864402A (en) * 2020-07-22 2020-10-30 南京星隐科技发展有限公司 Wave-transparent structure and wave-transparent device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107664780A (en) * 2017-10-11 2018-02-06 武汉大学 Dielectric nano brick array structure and its application as high-reflecting film and high transmittance film
CN109115306A (en) * 2018-06-19 2019-01-01 浙江大学 A kind of method of the Jet Penetration Depth of sonic detection jet bubbling reactor
CN109239817A (en) * 2018-11-19 2019-01-18 深圳大学 A kind of permeability improvement device of incident electromagnetic wave and the method for adjusting transmissivity using it
CN111380928A (en) * 2020-03-30 2020-07-07 北京工业大学 Reflection characteristic-based method for detecting wave-absorbing performance of carbon nanotube wave-absorbing material
CN111864402A (en) * 2020-07-22 2020-10-30 南京星隐科技发展有限公司 Wave-transparent structure and wave-transparent device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
IL SUNG SEO等: "Characterization of electromagnetic properties of polymeric composite materials with free space method", 《COMPOSITE STRUCTURES》, pages 533 - 542 *
LEILEI YAN等: "A novel scheme to enhance both electromagnetic wave transmission and compressive properties of PMI foam sandwich structures", 《COMPOSITE STRUCTURES》, vol. 277, no. 1, pages 1 - 8 *
LISHA ZHANG等: "Ultrahigh Electromagnetic Wave Transmitting Polyphenylene Sulfide Microcellular Foams Based on Molecular Structure Design for 5G Communication", 《INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH》, pages 5850 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115093644A (en) * 2022-07-13 2022-09-23 江苏集萃先进高分子材料研究所有限公司 Polypropylene composite foam material, preparation method and wave-transparent performance prediction method
CN115093644B (en) * 2022-07-13 2024-05-10 江苏集萃先进高分子材料研究所有限公司 Polypropylene composite foam material, preparation method and wave-transparent performance prediction method
CN117630049A (en) * 2024-01-25 2024-03-01 香港科技大学(广州) Material electromagnetic parameter extraction method based on machine learning gradient descent algorithm
CN117630049B (en) * 2024-01-25 2024-03-22 香港科技大学(广州) Material electromagnetic parameter extraction method based on machine learning gradient descent algorithm

Also Published As

Publication number Publication date
CN114420224B (en) 2024-05-10

Similar Documents

Publication Publication Date Title
CN114420224B (en) Prediction method applied to wave-transparent performance of 5G communication foam radome
Neo et al. Optimization of carbon fiber composite for microwave absorber
Chung et al. Modeling of RF absorber for application in the design of anechoic chamber
Yang et al. A hybrid model for radio wave propagation through frequency selective structures (FSS)
Lähteenmäki et al. Measurement of dielectric parameters of wall materials at 60 GHz band
Hallbjorner et al. Extracting electrical material parameters of electrically large dielectric objects from reverberation chamber measurements of absorption cross section
Haddadi et al. Contactless microwave technique based on a spread-loss model for dielectric materials characterization
Bilal et al. Comparison of SBR and MLFMM techniques for the computation of RCS of a fighter aircraft
Sagnard et al. In situ measurements of the complex permittivity of materials using reflection ellipsometry in the microwave band: Experiments (Part II)
US5016185A (en) Electromagnetic pyramidal cone absorber with improved low frequency design
CN111487474B (en) Numerical twin electromagnetic measuring system
CN116800364A (en) LUNA lunar base communication channel method based on ray tracing method
Nazari et al. Efficient design methodology for sandwich radome panels: a C‐band design example
Weinmann et al. A SBR code with GO-PO for calculating scattered fields from coated surfaces
Koledintseva et al. Modeling of metasheets embedded in dielectric layers
Jacob et al. Reflection and transmission properties of building materials in D-band for modeling future mm-wave communication systems
Le et al. Efficient algorithms for mining frequent weighted itemsets from weighted items databases
Choroszucho et al. Inhomogeneities and dumping of high frequency electromagnetic field in the space close to porous wall
Radivojevic et al. Electromagnetic wave attenuation by plane concrete in the frequency range of 4G and 5G systems
Liu et al. Inversion of P-Band Electromagnetic Parameters Based on a Genetic Algorithm and Method of Moments
Nazari et al. Implementation of a C-band sandwich radome and effects of materials and fabrication processes on its electromagnetic characteristics
Brown The wireless friendly building
Nwaokolo et al. Effect of Dielectric Properties of Building Structural Materials on Attenuation of Microwave Signals in Urban Areas of Nigeria
Case et al. Lossy flange for open-ended rectangular waveguide materials characterization
Catalkaya et al. An optimized microwave absorber geometry based on wedge absorber

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant