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Article

Characterization of Optically-Reconfigurable Metasurfaces by a Free Space Microwave Bistatic Technique

1
Physics and Material Science Laboratory, Sorbonne Université, CNRS-ESPCI, 75005 Paris, France
2
Thales Defense Mission Systems, 78990 Élancourt, France
3
Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(12), 4353; https://doi.org/10.3390/app10124353
Submission received: 13 May 2020 / Revised: 19 June 2020 / Accepted: 22 June 2020 / Published: 25 June 2020
(This article belongs to the Special Issue Millimeter-wave and Terahertz Applications of Metamaterials)

Abstract

:
Microwave performance extraction of optically-controlled squared frequency-selective surface (FSS) structures printed on highly resistive (HR) silicon substrate are presented, from a innovative bistatic microwave photonic characterization technique operating in the 40 to 60 GHz frequency range, commonly used for radar cross section (RCS) measurements. According to typical physical photon absorption phenomenon occurring in photoconductive materials, these structures demonstrate experimentally a bandpass filtering frequency response cancellation through reflection coefficient measurements, under specific incident collective illumination in the Near-infrared region (NIR). This behaviour is attributed to their microwave surface impedance modification accordingly to the incident optical power, allowing ultrafast reconfigurability of such devices by optics

1. Introduction

Metasurfaces (MTS) can act today as a new generation of frequency-selective surface (FSS) which have significantly contributed to advanced modern communication systems enhancements. Applications of MTSs at microwaves encompass those of FSS, namely, phase shifting elements for reflector antennas [1,2,3,4,5,6], filtering interfaces in radomes to reduce RCS levels in military platforms [7], as well as new generation of antennas [8,9,10]. Today, a complementary frequency and phase agility in MTS design is expected in next future industrial systems, as in 5G communications where a dynamic frequency allocation at end user level is required. In this area, main research works have been largely devoted to electronic solutions suggestion, such as by local electrical switching [11] from planar active devices (diodes) networks, or by substrate material permittivity change under specific electrical bias, using phase change materials.
Optical control becomes a disruptive alternative providing many advantages such as ultrafast activation speed, and EMI-protected external control. In this context, for the first time, this paper describes the development of a novel accurate free space experimental set-up dedicated to microwave reflection/transmission Fresnel coefficients measurements. This environment also incorporates optical illumination system for frequency response change demonstration of microwave FSS structures under light excitation.
Our approach was born from research works on exploitation and exaltation of photoconductive properties of semiconducting materials, in microwave switching devices when submitted to photons flux bringing an energy by absorption superior to their band gap energy E g .
In such materials, under light excitation, at first order of approximation, photogenerated free carriers either electrons or holes in the illuminated area change locally material conductivity by a value of Δ σ . As material absorption coefficient determining light penetration depth value α in the material is dependent to the wavelength λ of the incident optical signal, coupled parameters such as optical wavelength and material thickness must be carefully chosen for photoconductive effect existence [12,13,14,15,16]. In our case, NIR light appears as a suitable wavelength illumination for light/matter interaction exaltation in silicon material, which also acts as standard substrate material for integrated electronic devices manufacturing.
This publication presents experimental microwave response results of optically-controlled FSS structures Figure 1 assumed by planar capacitive square metallic patterns supported by a HR silicon substrate whose relative complex permittivity expression following Drude model (1) is a function of the angular frequency ω , σ is the substrate conductivity, ε inf being the high frequency substrate permittivity, and ϵ 0 the vacuum permittivity.
ε r = ε inf + i σ 0 + Δ σ ω ϵ 0
Through light/matter interaction, the photon energy absorption produces a material conductance change Δ σ (2), which is strongly dependent on carriers dynamics such as lifetime τ and mobility μ n , p , in association with the incident photon flux Φ ( t ) , quantum efficiency η and effective volume of the light/matter interaction area w A [17].
Δ σ = q η τ ( μ n + μ p ) Φ w A

2. Characterization Technique

Compared to other competitive material characterisation techniques operating in guided environment, free space method fits for broadband material electromagnetic properties qualification and simultaneous optical illumination implementation needs. Furthermore, thanks to a homemade three-step calibration and a genetic algorithm-based data postprocessing technique, frequency-dependent material permittivity, permeability and conductivity parameters are obtained simultaneously with accuracy [18,19]. Schematic of the free space bistatic measurement system given in Figure 2, which consists of a pair of microwave horn antennas connected to a vectorial network analyser (VNA), acting as microwave signal transmitter and receiver.
Microwave Teflon lenses placed between antennas and the material under test (MUT), under a small signal incidence angle of 28 with the respect to the normal of the MUT, are added for the guarantee of microwave signal focus in a foot print at order of MUT surface dimensions and microwave signal wavelength value. These components are mandatory for occurring diffraction effects minimization at the MUT edges responsible of measurements errors.
The focusing system has been designed for a nominal microwave frequency of 50 GHz. In this configuration, the microwave lenses must be localized at a distance d 1 equal to 31.85 cm from transmitter or receiver delivering a microwave signal waist of w 1 is equal to 1.24 cm, and at a distance d 2 to the MUT equal to 18.15 cm.
The lowest possible angle ( θ i = 28 ) is determined by the size of transmitter and receiver. This limitation is then governed by the MUT dimensions w, the distance between antennas and MUT d 1 + d 2 , as well as 3-dB angular beamwidths of each antenna in E-plane and H-plane [20]. In our configuration, the highest angle of 33 has been calculated for a 1 cm 2 of MUT surface and 50 cm of distance with 20 of antennas angular beamwidths. S-parameters measurements are performed at the distance ( D = d 1 + d 2 ) above the far field region limit corresponding to 50 cm at the setup lowest frequency of 40 GHz.
An optical system consisting of a LUMICS thermally-regulated cw laser diode (model:LU0808/0980/1064D100/100/100-U30AA) and a set of optical lenses is inserted between microwave horn antennas in order to realize a collimated illumination of 2.5 cm 2 at low incident angle on the top face of the sample in order to avoid optical back reflection signal on the laser source.

3. Calibration Technique

After a standard SOLT calibration procedure executed in the reference plane of the coaxial port inputs of each horn antenna, an additional homemade calibration stepis performed for measurements deembedding at the front face of the sample. This step is based on scattering parameters measurement between the two horn antennas connected to the VNA, obtained from a metallic plate used as reference short circuit and placed at three different phase references (SSS) thanks to a piezoelectric sample holder, solving errors measurements made in a quadrupole configuration as in Figure 3. These error factors are attributed to multiple reflections between transmitting and receiving signals through MUT top face, as well as from non protected EM environment. As in Figure 2, a 0 and b 0 coefficients correspond to incident and reflected voltage wave amplitudes from transmit and receive antennas, respectively, and b 1 and a 1 coefficients being incident and reflected voltage wave amplitudes at a reference plane located at the top face of the MUT, respectively, as indicated in the schematic given in Figure 3.
This latter helps in the definition of the relationship between effective reflection coefficient of the MUT Γ a and raw reflection coefficient Γ m from S 21 coefficient measurement, through error coefficients introduction ( e 00 , e 01 , e 10 and e 11 ).
From equivalent circuit in Figure 3, we can write that b 0 coefficient is equal to e 00 a 0 + e 01 a 1 , b 1 is equivalent to e 10 a 0 + e 11 a 1 and that Γ m , a are defined by b 0 , 1 / a 0 , 1 , respectively. Then, the corrected and raw reflection coefficients Γ a and Γ m , respectively, are expressed as in (3),
Γ m = a Γ a + b c Γ a + 1
where a = ( e 10 e 01 e 00 e 11 ) , b = e 00 and c = e 11 .
To estimate the corrected reflection coefficient, it is necessary to determine the unknown parameters a, b and c, as it is reachable by testing three calibration standards at different phase reference planes delivering known Γ a .
The first calibration standard consists of a metallic sample acting as a short circuit, placed at the reference plane. The second and third calibration standards are defined by moving this metallic sample by a distance of λ z m / 8 and λ z m / 4 , respectively, from the reference plane, leading to their reflection coefficient expression derived from the standard transmission line theory (4):
Γ a , i = ( j tan ( β z m z ) 1 ) ( j tan ( β z m z ) + 1 )
With, for i = 2, z = λ z m / 8 and i = 3, z = λ z m / 4 . The Equation (3) can be rewritten in analytic form as in (5) leading to a better definition of error coefficients a, b and c.
Γ a , i a + b Γ a , i Γ m , i c = Γ m , i { i = 1 , 2 , 3 }
Experimental reflection coefficient magnitude and phase values of Γ of a 2 cm 2 metallic sample, placed at the reference plane, are provided in Figure 4 in frequency, attesting calibration technique accuracy.

4. Microwave Characterization of HR Silicon Material under NIR Illumination

Using the same experimental set-up, S-parameters measurements of a square HR-silicon sample of with a 2 cm 2 cross section and 500 µm thickness are performed at room temperature under optical power up to 10 W and wavelength of 805 nm.
Under light illumination, as described in Figure 5, microwave incident plane wave is polarised either perpendicularly or parallel to its plane of incidence (TE or TM mode respectively) onto successively air/plasma, plasma/HR-Si and HR Si/air layers interfaces, synthesized as shunt tranverse impedances representation for each individual propagating medium.
Z 2 ( z 1 ) = Z 0
Boundary conditions on tangential fields can be applied at z = z 0 . Conservation of both tangential/normal electric and normal/tangential magnetic fields through each interface may be achieved by enforcing continuity of transverse impedance Z 1 ( T M ) ( z 0 ) = Z 2 T M ( z 0 ) and Z 1 ( T E ) ( z 0 ) = Z 2 T E ( z 0 ) .
Then,
Z 1 ( α ) ( z 0 ) = χ ( α ) Z 0 ( α ) + χ ( α ) tanh ( j k z 1 δ ) χ ( α ) + Z 0 ( α ) tanh ( j k z 1 δ ) , α = T M , T E
From (7), theoretical respective reflection coefficients Γ 0 ( T M ) ( ε r * , μ r * ) and Γ 0 ( T E ) ( ε r * , μ r * ) can be established and expressed as follows,
Γ 0 ( α ) ( ε r * , μ r * ) = Z 1 ( α ) ( z 0 ) Z 0 ( α ) Z 1 ( α ) ( z 0 ) + Z 0 ( α ) , α = T M , T E
The free space impedance and plasma characteristic impedance, ( Z 0 α , χ α ), for the TE and TM modes are given for different angles of incidence θ 0 as
Z 0 ( T M ) = η 0 cos θ 0 Z 0 ( T E ) = η 0 cos θ 0
χ ( T M ) = k z 1 ω ϵ r 1 * ϵ 0 χ ( T E ) = ω μ r 1 * μ 0 k z 1
with k z 1 = k 2 k 0 2 sin 2 θ o is the propagation constant along the normal direction to the dielectric.
Where k = ω ϵ 1 μ 1 and η 0 = μ 0 ϵ 0 is the free space impedance.
From experimental results, photoconductive material complex permittivity is extracted by using a numerical optimization procedure based on genetic algorithm [18].
From (2), photoconductance value Δ σ , attributed to the electron/hole pairs plasma layer presence induced by light absorption inside the semiconducting material, is deduced as a function of microwave frequency. In complement, from shunt impedance de-embedding calculations, a plasma profile Δ σ is obtained as a function of depth inside the material, as in Figure 6 at a fixed microwave frequency of 50 GHz, and Figure 7 shows the plasma conductivity according the optical power of the NIR source and a fixed plasma depth t p = 50 μ m. From fitting calculations, material absorption coefficient α = 234 × 10 3 m 1 , and carrier lifetime of τ = 158 × 10 9 s at 805 nm are simultaneously extracted from measurement results.
Exponential photoconductance decrease from the surface of sample is experimentally observed, on both real and imaginary parts, in very good agreement with theoretical predictions considering light penetration length at a given optical wavelength in the absorption band of the photoconductive material [21].

5. Design and Characterization of Optically-Controlled Microwave FSS

Coplanar slot based MTS structures have been designed by 550 × 550 μ m 2 square metallic patches with a 100 μ m gap with surrounding planar ground plane in Figure 1. Metallic parts are fabricated by optical lithography of a 2 μ m-thick layer of gold deposited on a 250 μ m thick HR Si substrate after a SiN dielectric layer deposition and etching at edges of conductive FSS parts.
The beam spot cross section of collective optical illumination of 2.5 cm 2 at a wavelength of 805 nm and a maximum incident power of 10 W is applied at the top face of the MUT. In dark environment, MTS-based MUT is expected to demonstrate a microwave bandpass filtering behaviour centred at a frequency of 46 GHz. Reflection coefficient simulations have been achieved byelectromagnetic (EM) full-wave analysis (Ansys-HFSS software), as shown in Figure 8 where conduction losses of the HR-Silicon substrate play a significant role in the frequency response.
Under optical illumination, magnitude and phase values of Γ obtained from S 21 measurements reveal impedance mismatching response of MTS structures operated by light absorption through photoconductive effect operation occurring in the substrate opened ring area formed by the gap between the metallic patches and surrounding ground plane.
As reported in Figure 8, dual magnitude decrease and null-phase shifting of the reflection coefficient Γ indicate the progressive device microwave response transition from a FSS to short-circuit type in the optical power range of 0 to 7 W at an optical wavelength of λ = 805 nm, directly attributed to a surface impedance Z s modification of FSS structure by optical control. Experimental results have been then validated by a complementary full-wave analysis (Ansys-HFSS software) integrating the photogenerated plasma ring layer with experimental complex data obtained in Figure 1. Free carriers presence during light excitation affect the magnitude of Γ through its real part, and the resonance frequency shift from its imaginary part as shown in Figure 8. Resistive losses in silicon are responsible of the detected frequency notch as we consider a perfect dielectric substrate for dark environment representation in EM simulations.
FSS surface impedance Z s is then directly extracted from input impedance Z i n = Z D . Z s / ( Z D + Z s ) with Z D modelling the impedance of the thin SiO2 dielectric layer (2 µm) covering the HR-Silicon substrate ( ε r = 11.9 and thickness of 250 µm) inducing a resonant frequency shift between Γ and Z s .
As reported in Figure 9, when increasing optical power, plasma conductivity enhancement Δ σ tends to shunt FSS structures, where a decrease of the real part of Z s as well as a low slope of the imaginary part of the surface impedance Z s respectively is measured. Identical frequency-dependent behaviour of Z s is observed through EM simulations by changing plasma conductivity value Δ σ in the gap region.

6. Conclusions

A thin material layer characterization technique based on free space bistatic radar cross section measurements has been developed in order to extract the microwave complex conductivity and photoconductivity of a HR Silicon substrate. From this new microwave photonic set-up associated to a complementary homemade calibration technique, material absorption coefficient α , as well as carrier lifetime τ are experimentally determined. By suing this set-up, surface impedance extinction of microwave FSS structures designed, fabricated and tested on HR Si wafer, induced by a collective IR illumination have been experimentally demonstrated for the first time, in the 40–60 GHz frequency range.
These results open news routes for next generation of radar and satcom systems where ultrafast frequency agility could be operated by external optical control.

Author Contributions

Conceptualization, C.T.-C., G.P, J.C; methodology, C.T.-C., G.P., S.M., J.C.; investigation, C.T.-C., G.P., S.V.; data curation, H.K.; writing, C.T.-C., H.K.; Software, I.M. project administration, J.C.; funding acquisition, J.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by THALES Defence Mission Systems, Elancourt, France.

Acknowledgments

This work has been supported by THALES Defence Mission Systems, Elancourt, France.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Figure 1. Optical image of frequency-selective surface (FSS) structures on Si substrate and unit cell physical description.
Figure 1. Optical image of frequency-selective surface (FSS) structures on Si substrate and unit cell physical description.
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Figure 2. Schematic description of the experimental set-up.
Figure 2. Schematic description of the experimental set-up.
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Figure 3. Quadrupole representation of microwave set-up errors.
Figure 3. Quadrupole representation of microwave set-up errors.
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Figure 4. Experimental reflection coefficient values in magnitude and phase ofa 2 cm 2 metallic plate as a function of microwave frequency before and after SSS calibration ( θ 0 = 28 and D = 50 cm)
Figure 4. Experimental reflection coefficient values in magnitude and phase ofa 2 cm 2 metallic plate as a function of microwave frequency before and after SSS calibration ( θ 0 = 28 and D = 50 cm)
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Figure 5. Two independent reflection measurements.
Figure 5. Two independent reflection measurements.
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Figure 6. Extraction of the HR Si substrate photoconductance Δ σ (left) Real part and (right) imaginary part according to the plasma depth t p of the HR Silicon illuminated by optical power Popt = 6 W at wavelength λ = 805 nm and F = 50 GHz.
Figure 6. Extraction of the HR Si substrate photoconductance Δ σ (left) Real part and (right) imaginary part according to the plasma depth t p of the HR Silicon illuminated by optical power Popt = 6 W at wavelength λ = 805 nm and F = 50 GHz.
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Figure 7. Extraction of the HR Si substrate photoconductance Δ σ in (left) Real part and (right) imaginary part according to incident optical power P o p at optical wavelength λ = 805 nm and microwave signal frequency F = 50 GHz.
Figure 7. Extraction of the HR Si substrate photoconductance Δ σ in (left) Real part and (right) imaginary part according to incident optical power P o p at optical wavelength λ = 805 nm and microwave signal frequency F = 50 GHz.
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Figure 8. Measured (MD) and Simulated (SD) magnitude Γ ( d B ) and phase Γ ( r a d ) values of reflection coefficient under different optical illumination power from FSS structures on HR Silicon substrate with a thickness of 250 μ m.
Figure 8. Measured (MD) and Simulated (SD) magnitude Γ ( d B ) and phase Γ ( r a d ) values of reflection coefficient under different optical illumination power from FSS structures on HR Silicon substrate with a thickness of 250 μ m.
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Figure 9. Measured data (MD) and Simulated with HFSS (left) Real ( Z s ) and (right) Image ( Z s ) under different optical illumination ( Δ σ * ) of MTS printed on HR Silicon substrate of thickness 250 μ m.
Figure 9. Measured data (MD) and Simulated with HFSS (left) Real ( Z s ) and (right) Image ( Z s ) under different optical illumination ( Δ σ * ) of MTS printed on HR Silicon substrate of thickness 250 μ m.
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MDPI and ACS Style

Krraoui, H.; Tripon-Canseliet, C.; Maksimovic, I.; Varault, S.; Pillet, G.; Maci, S.; Chazelas, J. Characterization of Optically-Reconfigurable Metasurfaces by a Free Space Microwave Bistatic Technique. Appl. Sci. 2020, 10, 4353. https://doi.org/10.3390/app10124353

AMA Style

Krraoui H, Tripon-Canseliet C, Maksimovic I, Varault S, Pillet G, Maci S, Chazelas J. Characterization of Optically-Reconfigurable Metasurfaces by a Free Space Microwave Bistatic Technique. Applied Sciences. 2020; 10(12):4353. https://doi.org/10.3390/app10124353

Chicago/Turabian Style

Krraoui, Houssemeddine, Charlotte Tripon-Canseliet, Ivan Maksimovic, Stefan Varault, Gregoire Pillet, Stefano Maci, and Jean Chazelas. 2020. "Characterization of Optically-Reconfigurable Metasurfaces by a Free Space Microwave Bistatic Technique" Applied Sciences 10, no. 12: 4353. https://doi.org/10.3390/app10124353

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