Abstract
We proposed an ultrabroadband reflective metamaterial with controlling the scattering electromagnetic fields based on a polarization convertor. The unit cell of the polarization convertor was composed of a three layers substrate with double metallic splitrings structure and a metal ground plane. The proposed polarization convertor and that with rotation angle of 90 deg had been employed as the “0” and “1” elements to design the digital reflective metamaterial. The numbers of the “0” and “1” elements were chosen based on the information entropy theory. Then, the optimized combinational format was selected by genetic optimization algorithm. The scattering electromagnetic fields had been manipulated due to destructive interference, which was attributed to the control of phase and amplitude by the proposed polarization convertor. Simulated and experimental results indicated that the reflective metamaterial exhibited significantly RCS reduction in an ultrabroad frequency band for both normal and oblique incidences.
Introduction
In recent years, great efforts had been dedicated to the metamaterial focusing in microwave, terahertz and optical frequencies. The metamaterial inspired many applications such as acoustic cloaks, gradient index lenses, perfect absorbers, polarization rotators, and many other devices^{1,2,3,4,5,6}. Metamaterial is a manmade artificially periodic or aperiodic structure material with the subwavelength unit structure^{7,8,9}. As well as focusing on the metamaterials that control the near and far electromagnetic scattering fields based on the different mechanisms. Especially, the low farfield scattering such as monostatic radar cross section (MRCS) had been adequately paid attention to because of the demand of stealth for platforms. For obtaining low MRCS, perfect metamaterial absorber (PMA) with nearunity absorptivity and ultrathin structure was firstly proposed by Landy et.al.^{10} in 2008. It had become an important research aspect of metamaterials. Later, lots of researchers made efforts on different PMA structures to achieve broadband absorption and insensitive polarization^{11,12,13,14,15,16}. Another way of achieving low MRCS using planar configuration was proposed by M. Paquay^{17}. Based on a combination of artificial magnetic conductors (AMC) and perfect conductors in a chessboard like configuration, the planar configuration exhibited the narrow band RCS reduction. Then different combinations of several AMC structures were proposed for broadband or multiband MRCS reduction^{18,19,20,21}. Recently, coding metamaterial and digital metamaterial have attracted more attention for significantly manipulating the electromagnetic (EM) waves^{22,23}. In designs, the coding sequences of “0” and “1” elements are introduced to control the scattering fields. On these bases, various functionalities such as anomalous reflection, polarization conversion, scattering beam diffusion can be applied to obtain the low MRCS^{24,25,26,27,28,29,30}. Importantly, metamaterials or metasurfaces could manipulate the polarization of EM waves with asymmetric transmission or reflection. Hence, they were designed as the circular polarizers or polarization rotators^{31,32,33,34,35}. Aiming at manipulating the polarization, the amplitude and phase of the scattering fields have been controlled by metamaterials. More recently, the metasurface was demonstrated to achieve the multiband and broadband low MRCS based on the polarization rotation reflective surface^{36,37}. In application, the metamaterials or metasurfaces have been used for RCS reduction of antennas^{38,39,40}. However, the bandwidth of metamaterials or metasurfaces could not satisfy the application of RCS reduction for antennas. Therefore, it is a major challenge that is to extend the operating bandwidth of low RCS for the metamaterial.
In this paper, we proposed an ultrawideband reflective metamaterial with RCS reduction based on a polarization convertor. The unit cell of the convertor manipulated a linearly polarized wave to its crosspolarized one. To design the reflective metamaterial, the proposed polarization convertor and that with rotation angle of 90 deg had been employed as the “0” and “1” elements based on the concept of digital reflective metamaterial. According to the information entropy theory, the numbers of the “0” and “1” lattices had been chosen. The combinational format of the “0” and “1” lattices was selected based on the genetic optimization algorithm. The reflective metamaterial device with similar geometry in simulation were fabricated and measured to clearly validate our design. The ultrabroadband RCS reduction for proposed reflective metamaterial were illustrated by simulated and measured results. This presented reflective metamaterial provided a more effective and reliable method to design metamaterial for ultrabroadband low scattering.
Results
Reflective convertor element, Number selection and Combinational format optimization
The reflective convertor in this paper is composed of metamaterials, which can be used for controlling the reflective parameters of scattering waves. Consequently, it is an attractive choice to achieve some interesting functionalities such as focusing, low scattering and wave bending. A reflective convertor and that with rotation angle of 90 deg have been chosen as “0” and “1” elements to design the reflective metamaterial with low RCS. The reflective convertor elements are shown in Fig. 1(a). The unit cell of proposed reflective convertor is composed of a threelayer dielectric substrate with double metallic splitrings structure and a full copper ground plane on the bottom. The dielectric substrate are all Arlon AD430 (ε_{r} = 4.3 and tanδ = 0.003), and their thicknesses are 1.5 mm, 1.5 mm and 1 mm respectively. The conductivity of copper is 5.8 × 10^{7} S/m and the thickness is 36 μm. For verifying polarization convertor, numerical simulations are performed using the software HFSS. According to the coding metamaterial, the proposed polarization convertor and that with rotation angle of 90 deg had been employed as the “0” and “1” elements. From Fig. 1(b and c), the elements of “0” and “1” effectively manipulate the reflective amplitude and phase of incidence in an ultrawide frequency band. The polarization conversion ratio (PCR) is more than 90% for two elements as shown in Fig. 1(d) from 5.71 GHz to 15.02 GHz. Figure 1(e) shows the phase difference between elements “0” and “1”. It can be seen that the reflective convertor yields around 180 deg phase difference over the ultrabroad spectral band.
Figure 2 shows the simulated results of reflective parameters for the proposed reflective convertor with different azimuthal angles from 2 GHz to 18 GHz. The amplitudes of reflective coefficients for element “0” (Am._{Rxx,0}) have an obviously transformation from 0 to 1 with the copolarized incidence. The deep spectra in Fig. 2(a) close to 10 GHz are exhibited due to the stronger coupling effects between the double metallic splitrings structures and the metallic ground. The coupling effects of double metallic splitrings structures are greatly excited at the resonance frequency. For the crosspolarization, the change of amplitudes of reflective coefficients for element “0” (Am._{Rxy,0}) is opposite shown in Fig. 2(b). When the azimuthal angle is 45 deg, the proposed convertor exhibits the characteristics like an artificial magnetic conductors because Am._{Rxx,0} is close to 1 and phase is near to zero. As shown in Fig. 2(d), the phase difference is only shifted from 0.94π to 1.08π as the azimuthal angle changes from 0 deg to 90 deg. Therefore, the azimuthal angle hardly affects the phase difference.
Figure 3 shows the simulated reflective properties of unit cell versus polar angle from 0 deg to 60 deg with different frequency. The bandwidth of Am._{Rxx,0} ≈ 0 is slowly reduced as the polar angle shifts from 0 deg to 60 deg in Fig. 3(a). We can see that the proposed convertor performs ultrabroad bandwidth with Am._{Rxy,0} ≈ 1 in Fig. 3(b). Over the frequency range from 12 GHz to 18 GHz, the phase of Am._{Rxy,0} has a clear change due to the influence of the coupling effects of higher order modes between double metallic splitrings structure as the polar angle shifts from 0 deg to 60 deg. For example, the Hfields of proposed convertor with polar angle of 40 deg at 6 GHz and 15 GHz are illuminated in Fig. 3(e and f). It is observation that the Hfields change clearly with the excitation of higher order modes when the polar angle is 40 deg. This phenomenon is attributed to that the influence of higher order modes increases when the dimension of unit cell is about half wavelength of 15 GHz. When the frequency is 6 GHz, the dimension of unit cell is less than quarter wavelength of 6 GHz and the higher order modes hardly affect the performance of proposed convertor. As shown in Fig. 3(d), it is necessary to point out that the polar angle hardly affects the phase difference because that is near to π with different polar angles. According to the simulated results shown in Figs 2 and 3, the proposed metamaterial performs the wide angle polarized conversion.
To satisfy the periodic boundary, each lattice is composed of 3 × 3 elements with the same dimension and structure. The lattices “0” and “1” as the coding sequence given in Fig. 4 can be constituted the ultrabroadband reflective metamaterial.
Simulations and measurement
After designing the lattices “0” and “1”, the total number of the lattices is depended on the area of the reflective metamaterial. The number of lattices “0” and “1” is chosen according to the information entropy theory. It is well known that a perfect electric conductor (PEC) plane would exhibit a strong directive scattering beam for plane incident waves. For controlling the reflective scattering beam, we introduced the destructive interference based on the Snell’s law. In order to minimize the scattering fields, it is necessary to enhance the destructive interference which can be controlled by the lattices “0” and “1”. For giving a wellunderstood process, a coding matrix T has been introduced to describe a reflective metamaterial with M × N lattices array.
In the coding matrix T, the element t_{m,n} is either lattice “0” or lattice “1”. Obviously, the decision that t_{m,n} = 0 or t_{m,n} = 1 is essentially random for designing the reflective metamaterial. As well, the numbers of lattice “0” and lattice “1” can’t be determined. From the information entropy theory, it is known that the information is essentially random and should be regarded as aleatory variable of nondeterminism. Therefore, the information entropy can be introduced to determine the numbers of lattice “0” and lattice “1” in coding matrix T.
Here, assume that there are two possible answers for a random variable (such as X), X takes discrete x_{i} with a prior probability p_{i}, i = 1, 2. The information entropy H can be calculated by
According to equation (3), the information entropy H is a function of the prior probability p. The relationship curve between p and H is given in Fig. 5. Form Fig. 5, we can see that H achieves maximum value when p = 0.5. So the numbers of lattice “0” and lattice “1” are all (M × N)/2. The total scattering fields (E_{scattering}) of the reflective metamaterial with the uniform plane incident waves can be regarded as superposition of the scattering wave from each basic lattice. It can be expressed as
where E_{mn} is the farfield scattered pattern function of the basic lattice t_{m,n}. θ and φ are respectively the polar angle and azimuthal angle. In order to rapid calculation, the coupling between lattices “0” and “1” can be ignored due to the configurable orthogonality. According to the array theory, E_{scattering} can be given as
where k is the wave vector. ϕ(m, n) is the reflective phase of each lattice which is translated into “0” and “1” and the values of ϕ(m, n) are determined by the coding matrix T. Hence, the total scattering fields can be depended on the pattern function of the basic lattice E_{m,n} and the coding matrix T. It is noted that the E_{scattering} in Eq. (5) is an approximate model which does not correspond to the realistic reflective metamaterial configurations. The scattering patterns can be calculated from the approximate model.
For a reflective metamaterial with 6 × 8 lattices, the different coding matrices with different information entropy and their corresponding scattering patterns are given in Fig. 6 based on the lattice “0” and lattice “1”. It is observed that the scattering beam can be efficiently controlled by the reflective metamaterial when the number of lattice “0” is equal to that of lattice “0” (H = 1 bit) from Fig. 6(c). The reflective metamaterial with H = 0 bit leads to a strong reflection beam toward the normal direction as shown in Fig. 6(a). From Fig. 6(b and d), the reflective metamaterials with different coding matrices perform the same scattering pattering. This phenomenon is mainly attributed to the same information entropy and the reciprocity principle between the lattice “0” and lattice “1”.
In order to obtain ultrabroad RCS reduction, the combinational format optimization is the key for designing the reflective metamaterial. In this paper, an optimized format has been selected by the genetic algorithm (The process of the algorithm is given in the appendix A). After selection with the genetic algorithm, the optimized coding matrix T_{6×8} has been given in Fig. 7(a). The uniform coding matrix is given in Fig. 7(b). Correspondingly, the simulated results of RCS reduction for the reflective metamaterial are shown in Fig. 7(c and d) with optimized and uniform coding matrices. From Fig. 7(c and d), we can see that the ultrabroadband RCS reduction of the reflective metamaterial with optimized coding matrix can be obtained from 4.51 GHz to 16.99 GHz for ypolarized incidence and from 4.55 GHz to 15.19 GHz for xpolarized incidence. For the uniform coding matrix, the RCS reduction of 10 dB for the reflective metamaterial only covered the frequency from 5.72 GHz to 9.45 GHz. The difference of RCS reduction between xpolarization and ypolarization is attributed to the rectangular matrix (T_{M,N}, M ≠ N). From Fig. 7(c), we can see that the peaks of RCS reduction are achieved for reflective metamaterial with different polarized incidences at 6.15 GHz and 16.75 GHz.
The simulated scattering patterns of PEC and reflective metamaterials are demonstrated in Fig. 8 with optimized coding matrix and uniform coding matrix for normal incidences at 6.15 GHz and 16.75 GHz. Compared to the scattering patterns of PEC, the patterns of reflective metamaterials with different coding matrices obviously perform RCS reduction not only at 6.15 GHz but also at 16.75 GHz. The direction of the scattering beam has been manipulated due to the controlling of phase and amplitude by the polarization convertor. As shown in Fig. 8(b,c,e and f), it can be seen that the RCS reduction of reflective metamaterial with optimized coding matrix is more than that with uniform coding matrix at 6.15 GHz and 16.75 GHz. Therefore, the ultrabroadband RCS reduction can be obtained for the reflective metamaterials with the genetic optimized algorithm.
Figure 9 shows the RCS reduction of the reflective metamaterials with optimized coding matrix with incident angle of 20 deg, 40 deg and 60 deg for xpolarized and ypolarized incidences. It can be seen that the RCS reduction of reflective metamaterials can be achieved with the oblique incidences for xpolarization and ypolarization. It is noted that the RCS reduction is decreasing as the incident angle increases. Hence, we conclude that the proposed reflective metamaterials with optimized coding matrix exhibit ultrawide band RCS reduction for normal and oblique incidences from Figs 7 and 9.
In order to validate the RCS reduction of reflective metamaterials with optimized coding matrix, the nearfields of oblique incidence are shown in Fig. 10 for xpolarization at 6.15 GHz and 16.75 GHz. It can be seen that the near scattering fields have been manipulated with incident angle not only of 0 deg, 20 deg but also of 40 deg & 60 deg. Noted that the components of scattering fields along xaxis have been remarkably manipulated by proposed reflective metamaterial due to the control of phase and amplitude by polarization convertor and the destructive interference by lattices “0” and “1” at 6.15 GHz and 16.75 GHz. From Fig. 10, the change tendency of the scattering fields is consistent for the xpolarized incidences as the incident angle shifts from 0 deg to 60 deg.
To demonstrate the reflective metamaterials, a device easily implemented using common printed circuit board method with 6 × 8 lattices was fabricated and measured by employing the freespace test method in a microwave anechoic chamber. As shown in Fig. 11, the reflective metamaterial device is given. The dielectric substrate is chosen as F4B boards with the thicknesses of 1.5 mm, 1.5 mm and 1 mm. The double metallic splitrings structure and the ground plane are made of 0.035 mmthick copper layers. A vector network analyzer (Agilent N5230C) and two standardgain horn antennas were used for transmitting and receiving the EM waves. The device was placed vertically in the center of a turntable to ensure that the incidence wave was similar to a plane wave in the front of device for measurement. Figure 12 shows the measured results of the reflective metamaterial device for different incident angles with xpolarized and ypolarized incidences. The ultrabroadband RCS reduction can be achieved for the reflective metamaterial device with x and ypolarizations. The measured bandwidth of RCS reduction of 10 dB covers from 5.21 GHz to 15.09 GHz for xpolarized incidence and from 4.77 GHz to 17.08 GHz for ypolarized incident wave with incident angle of 0 deg. The different bandwidths of RCS reduction of 10 dB with x and ypolarizations are performed due to the dissymmetrical structure of fabricated device. From Fig. 12, the broadband RCS reduction is performed due to the destructive interference of the scattering fields which is attributed to the manipulation of phase and amplitude by the reflective convertor. The comprehensive comparison between this proposed reflective metamaterial and other metamaterials in reference are given in appendix B. It is noted that the bandwidth would decrease as the incident angle shifted to 60 deg. The reflective metamaterial device performs broadband RCS reduction from 5.8 GHz to 12.2 GHz for xpolarized incidence and from 5.6 GHz to 12.1 GHz for ypolarized incident wave when the incident angle is 60 deg. The RCS reduction at high frequency is deteriorated. These physical phenomena are all attributed to the excitation of higher order modes for the reflective metamaterial at oblique incidences. At high frequency, the dimension of the unit cells special lattices is larger than the operating wavelength. The RCS reduction is achieved due to the more excitation of higher order modes and the lower excitation of basic mode for the reflective metamaterial. As shown in Figs 7, 9 and 12, good agreement can be obtained between the measurements and simulations.
Conclusion
A valuable reflective metamaterial was designed, analyzed, fabricated and measured based on a threelayer polarization convertor. Compared to the perfect electric conductor, the ultrabroadband RCS reduction is achieved simultaneously due to the destructive interference by the polarization convertor. In the design, the polarization convertor was composed of three layers substrate with double metallic splitrings structure and a metal ground plane. The polarization convertor and that with rotation angle of 90 deg had been employed as the “0” and “1” elements to design the digital reflective metamaterial. The information entropy theory and genetic optimization algorithm were used for choosing and selecting the numbers and combinational format of elements. Two reflective metamaterial based on the lattices array with different coding matrices were compared with each other. From the comparison, we observed that the more RCS reduction and wider bandwidth could be obtained by the information entropy theory and genetic optimization algorithm. A device with 6×8 lattices was easily implemented using common printed circuit board method. Experimental results were completely consistent with those in simulation. The results indicated that the metamaterial device performed ultrawide band RCS reduction.
Methods
In our designing, the scattering characteristics are measured in an anechoic chamber for making good RCS measurement over the frequency range from 2 GHz to 18 GHz. When it is for the normal incident waves, two identical horn antennas are employed and placed adjacently in front of the fabricated devices with the distance more than 3 m to support farfield test. The incidence can be approximated as plane wave due to the distance. Two identical horn antennas are used as the transmitting and receiving antennas, which are connected to the two ports of the Agilent N5230C VNA. For measuring the RCS of devices, these horn antennas as the receiver and transmitter are designed to operate in continuous waves. It is noted that all of these along with the capability to transmit and receive pulses of very short duration. In measurement, the gatereflectline calibration in timedomain analysis kit of VNA is used to experimentally verify and improve the testing capability. When it is for the oblique incidence, the horn antennas are set as xpolarization and placed with a same angle with respect to the normal direction of the fabricated devices. In order to achieve different polarized incidences, the fabricated devices are rotated around their central axis to measure RCS.
Additional Information
How to cite this article: Li, S. J. et al. Ultrabroadband Reflective Metamaterial with RCS Reduction based on Polarization Convertor, Information Entropy Theory and Genetic Optimization Algorithm. Sci. Rep. 6, 37409; doi: 10.1038/srep37409 (2016).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
 1.
R. A. Shelby, D. R. Smith & S. Schultz. Experimental verification of a negative index of refraction. Science 292, 77–79 (2001).
 2.
D. R. Smith, J. B. Pendry & M. C. Wiltshire. Metamaterials and negative refractive index. Science 305, 788–792 (2004).
 3.
K. G. Justyna et al. Gold helix photonic metamaterial as broadband circular polarizer. Science 325, 1513–1515 (2009).
 4.
W. X. Jiang et al. Broadband alldielectric magnifying lens for farfield highresolution imaging. Adv. Mater. 25, 6963–6968 (2013).
 5.
S. J. Li et al. Multiband and broadband polarizationinsensitive perfect absorber devices based on a tunable and thin double splitring metamaterial. Opt. Express 23, 3523–3533 (2015).
 6.
L. Cong et al. A perfect metamaterial polarization rotator. Appl. Phys. Lett. 103, 171107 (2013).
 7.
X. Ni, Z. J. Wong, M. Mrejen, Y. Wang & X. Zhang. An ultrathin invisibility shin cloak for visible light. Science 349, 1310 (2015).
 8.
N. Liu, L. W. Fu, S. Kaiser, H. Schweizer & H. Giessen. Plasmonic building blocks for magnetic molecules in threedimensional metamaterials. Adv. Mater. 20, 3859 (2008).
 9.
I. Z. Nikolay. The road ahead for metamaterials. Science 328, 582–583 (2010).
 10.
N. I. Landy et al. A perfect metamaterial absorber. Phys. Rev. Lett. 100, 207402 (2008).
 11.
S. J. Li et al. Wideband, thin and polarizationinsensitive perfect absorber based the double octagonal rings metamaterials and lumped resistances. J. Appl. Phys. 116, 043710 (2014).
 12.
L. K. Sun, H. F. Cheng, Y. J. Zhou & Jun, Wang. Broadband metamaterial absorber based on coupling resistive frequency selective surface. Opt. Express 20, 4675–4680 (2012).
 13.
S. J. Li et al. Loaded metamaterial perfect absorber using substrate integrated cavity. J. Appl. Phys. 115, 213703 (2014).
 14.
M. Yoo et al. Polarizationindependent and ultrawide band metamaterial absorber using a hexagonal artificial impedance surface and a resistorcapacitor layer. IEEE Trans. Antennas Propag. 62, 2652–2658 (2014).
 15.
T. Cao, W. W. Chen, E. S. Robert, L. Zhang & J. C. Martin. Broadband polarizationindependent perfect absorber using a phasechange metamaterial at visible frequencies. Sci. Rep. 4, 3955 (2014).
 16.
J. Zhu et al. Ultrabroadband terahertz metamaterial absorber. Appl. Phys. Lett. 105, 021102 (2014).
 17.
M. Paquay et al. Thin AMC structure for radar crosssection reduction. IEEE Trans. Antennas Propag. 55, 3630–3638 (2007).
 18.
J. C. Galarregui et al. Broadband radar crosssection reduction using AMC technology. IEEE Trans. Antennas Propag. 61, 6136–6143 (2013).
 19.
A. Edalati & K. Sarabandi. Wideband, wide angle, polarization independent RCS reduction using nonabsorptive miniaturizedelement frequency selective surfaces. IEEE Trans. Antennas Propag. 62, 747–754 (2014).
 20.
Y. Zhao, X. Cao, J. Gao & W. Li. Broadband radar absorbing material based on orthogonal arrangement of CSRR etched artificial magnetic conductor. Microw. Opt. Tech. Lett. 56, 158–161 (2014).
 21.
K. Wang, J. Zhao, Q. Cheng, D. S. Dong & T. J. Cui. Broadband and broadangle lowscattering metasurface based on hybrid optimization algorithm. Sci. Rep. 4, 5935 (2014).
 22.
G. C. Della & N. Engheta. Digital metamaterials. Nature Materials 13, 1115–1121 (2014).
 23.
Tie Jun Cui, Mei Qing Qi, Xiang Wan, Jie Zhao & Qiang Cheng. Coding metamaterials, digital metamaterials and programmable metamaterials. Light Sci. Appl. 3, e218 (2014).
 24.
M. Nina, L. B. William & I. R. Hooper. Plasmonic metaatoms and metasurfaces. Nature photonics 27, 889 (2014).
 25.
L. H. Gao et al. Broadband diffusion of terahertz waves by multibit coding metasurfaces. Light Sci. Appl. 4, e324 (2015).
 26.
D. S. Dong et al. Terahertz broadband lowreflection metasurface by controlling phase distributions. Adv. Mater. Lett. 3, 1405–1410 (2015).
 27.
P. Su et al. An ultrawideband and polarizationindependent metasurface for RCS reduction. Sci. Rep. 6, 20378 (2016).
 28.
Y. Zhao et al. Broadband diffusion metasurface based on a single anisotropic element and optimized by the simulated annealing algorithm. Sci. Rep. 6, 23896 (2016).
 29.
S. Liu et al. Anisotropic coding metamaterials and their powerful manipulation of differently polarized terahertz waves. Light Sci. Appl. 5, e160 (2016).
 30.
J. Chen, Q. Cheng, J. Zhao, D. S. Dong & T. J. Cui. Reduction of radar cross section based on a metasurface. Prog. In Electromagn. Res. 146, 71–76 (2014)
 31.
K. G. Nathaniel et al. Terahertz metamaterials for linear polarization conversion and anomalous refraction. Science 304, 1304–1307 (2013).
 32.
A. E. Miroshnichenko & Y. S. Kivshar. Polarization traffic control for surface plasmons. Science 340, 283–284 (2013).
 33.
H. Shi, J. Li, A. Zhang, J. Wang & Z. Xu. Broadband cross polarization converter using plasmon hybridizations in a ring/disk cavity. Opt. Express 22, 20973–20981 (2014).
 34.
P. Carl & G. Anthony. Bianisotropic metasurfaces for optimal polarization control: analysis and synthesis. Phys. Rev. Appl. 2, 044011 (2014).
 35.
B. Tremain, H. J. Rance, A. P. Hibbins & J. R. Sambles. Polarization conversion from a thin cavity array in the microwave regime. Sci. Rep. 5, 9366 (2015).
 36.
Y. T. Jia et al. Broadband polarization rotation reflective surfaces and their applications to RCS reduction. IEEE Trans. Antennas Propag. 64, 179–185 (2016).
 37.
Y. Zhao et al. Jigsaw puzzle metasurface for multiple functions: polarization conversion, anomalous reflection and diffusion. Opt. Express 24, 261803 (2016).
 38.
S. Genovesi, F. Costa & A. Monorchio. Wideband radar cross section reduction of slot antennas arrays. IEEE Trans. Antennas Propag. 62, 163–173 (2014).
 39.
S.J. Li et al. Loading metamaterial perfect absorber method for inband radar cross section reduction based on the surface current distribution of array antennas. IET Microw. Antennas Propag. 9, 399–406 (2015)
 40.
Y. Zhao et al. Broadband lowRCS metasurface and its application on antenna. IEEE Trans. Antennas Propag. 64, 2954–2962 (2016).
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 61501494, No. 61671464, No. 61471389, and No. 61271100), the Doctoral Foundation of Air Force Engineering University under Grant (No. KGD080914002 and No. KGD08091502).
Author information
Author notes
 Si Jia Li
 & Xiang Yu Cao
These authors contributed equally to this work.
Affiliations
Information and Navigation College, Air Force Engineering University, Xi’an 710077, China
 Si Jia Li
 , Xiang Yu Cao
 , Huan Huan Yang
 , Jiang Feng Han
 , Zhao Zhang
 , Di Zhang
 , Xiao Liu
 , Chen Zhang
 , Yue Jun Zheng
 & Yi Zhao
Science and Technology on Electronic Information Control Laboratory, Chendu 610036, China
 Li Ming Xu
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
 Long Jian Zhou
Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
 Huan Huan Yang
Authors
Search for Si Jia Li in:
Search for Xiang Yu Cao in:
Search for Li Ming Xu in:
Search for Long Jian Zhou in:
Search for Huan Huan Yang in:
Search for Jiang Feng Han in:
Search for Zhao Zhang in:
Search for Di Zhang in:
Search for Xiao Liu in:
Search for Chen Zhang in:
Search for Yue Jun Zheng in:
Search for Yi Zhao in:
Contributions
Si Jia Li and Xiang Yu Cao conceived the idea, did the simulations, interpreted the experiments and wrote the manuscript. Li Ming Xu suggested the numerical simulation. Long Jian Zhou, Huan Huan Yang, and Jiang Feng Han participated in the mathematical optimization procedure. Zhao Zhang, Di Zhang, Xiao Liu, Chen Zhang, Yue Jun Zheng, and Yi Zhao contributed to devices fabrication and measurement.
Competing interests
The authors declare no competing financial interests.
Corresponding authors
Correspondence to Si Jia Li or Xiang Yu Cao.
Supplementary information
Word documents
Rights and permissions
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
About this article
Further reading

Optimal Design of Miniaturized Reflecting Metasurfaces for UltraWideband and Angularly Stable Polarization Conversion
Scientific Reports (2018)

Selective dualband metamaterial perfect absorber for infrared stealth technology
Scientific Reports (2017)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.