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Optica Publishing Group

Cloaking design for arbitrarily shape objects based on characteristic mode method

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Abstract

In the framework of characteristic mode method (CMM) we develop a theoretical approach for achieving invisibility and illusion of three-dimensional arbitrary-shaped objects. Starting from rigorous electromagnetic theory, electromagnetic wave interaction with arbitrarily shape scatterers is modelled by discrete-dipole approximation (DDA) method. By exploiting the characteristic mode analysis, it is theoretically shown that scattered field is tightly related to generalized eigenvalues of the matrix in the DDA method. A theoretical formulation for designing thin homogeneous cover is derived to achieve invisibility and illusion image of the irregularly shaped objects. It is demonstrated by numerical simulations that the proposed cloaking design provides a significant scattering reduction and optimal illusion performance.

© 2017 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. Introduction

Interest in metamaterials has grown in recent years and various electromagnetic applications based on their anomalous properties have been developed [1–3]. One of the most exciting applications is realization of electromagnetic invisibility cloak [4–28]. Especially, transformation optics (TO) [8, 9] as a breakthrough technique to manipulate electromagnetic waves offers an unprecedented flexibility in design of the cloak. To-based cloaking strategies theoretically and experimentally demonstrated at various frequencies rely on the intuitive idea of bending incoming waves around an object smoothly without any scatterings [10–17]. Material properties based on the TO design are often strongly inhomogeneous, anisotropic and negative. These complexities of the material parameters limit the practical realization of these cloaks.

In recent years, scattering cancellation has been shown to be a simple way to design cloaking devices with moderately size objects [18–28]. By warping a shell with the designed permittivity and permeability on a target, the target becomes invisible [18–24] or disguised as another object [25–27]. The scattering cancellation-based cloak design is implemented by controlling the zeroth and first orders of Mie scattering coefficients. However, analytical expressions for the Mie scattering coefficients are only limited to canonical shapes, for instance an infinite cylinder and a sphere [18–27]. Extension of the scattering cancellation approach to the cloaking design for the arbitrarily-shaped objects has been reported [28]. The facing critical issue is how to determine the relationship between scattering section of the object and its equivalent polarizability tensor. A feasible implementation way to use numerical methods, for example method of moment (MoM) [29]. However, owing to time consuming, it becomes cumbersome to implement the numerical methods in the scattering cancellation-based cloaking design for the arbitrarily-shaped objects.

In this work, a characteristic mode method (CMM) [30–32] is developed to design invisibility and illusion cloaks for arbitrarily-shaped objects. Discrete dipole approximation (DDA) [33–38] as a flexible and powerful technique is used to solve electromagnetic wave scattering from object with arbitrary geometry and composition. With the CMM, a generalized eigenvalue equation for the matrix in the DDA method is formulated and physical mechanisms of the scattering problem are shed some light on according to the resultant generalized eigenvalues, which distinguishes the proposed method from all reported scattering cancellation approaches. The analytical formulations are derived for illusion and invisibility cloak designs. To our best knowledge, it is first time to theoretically design the cloak based on the CMM. The formulations of our theory are given in Section II. In Section III, we present the numerical simulations to achieve the optimal invisibility and illusion cloak designs for the arbitrarily-shaped objects. Conclusions are given in Section IV.

2. Cloaking of arbitrarily shaped objects

2.1 Discrete-dipole approximation (DDA)

The DDA method initially proposed by Purcell and Pennypacker [33] and further developed by Draine and associates [34–36] is used to solve interaction of electromagnetic wave and object with arbitrary shape in free space. Consider an incident plane wave with Einc(r)=u^inceikincrscattering from a dielectric object with relative permittivity of εr, where kinc=kk^inc and u^inc are incident vector and unit polarization vector, respectively. Here eiωt time dependence is assumed.

The DDA method starts from a volume integral equation (VIE) governing electric field inside a dielectric scatterer [39], i.e.,

E(r)=Einc(r)+i4πωε0VG¯(r,r)J(r)dv,
where J(r)=iω[εr(r)1]ε0E(r) is equivalent volume current density and free-space dyadic Green’s function is defined as

G¯(r,r)=[k2I¯+]g(r,r)=g(r,r)[k2(I¯R^R^R2)1ikRR2(I¯3R^R^R2)],
g(r,r)=eik|rr||rr|,R^=RR=rr|rr|.

The object is discretized into N small cubic elements, each of which is approximately represented by a point dipole. The size length of each cubic element is d and the corresponding volume is Vj=d3 (j=1,,N). Application of the discretization into the VIE leads to

E(r)i4πε0ωVjG¯(r,r)J(r)dv=Eexc(r),
in which
Eexc(r)=Einc(r)+i4πε0ωk=1kjNVkG¯(r,r)J(r)dv.
Equation (5) represents the field exciting the jth element, which consists of the incident field and the contribution from all other elements. Invoking the long wave approximation, we can re-express Eq. (5) as

Ejexc=Ejinc+i4πωε0k=1kjNG¯(rj,rk)JkΔVk.

The volume current density Jk in the kth element can be related to a dipole moment

pk=i4πωε0VkJk.
Inserting Eq. (7) into Eq. (6), we can obtain
Ejexc=Ejinc+k=1kjNG¯(rj,rk)pk.
Furthermore, the dipole moment in the Vj induced by Ejexc can be obtained as
pj=αjEjexc,
where αj is defined as dipole polarizability. There are some formulations for calculation of the dipole polarizability [38]. One of the most popular forms is based on lattice dispersion relation (LDR), i.e.,
αj=αjCM1+(αjCM/d3)[b1+εjb2+εjb3S](kd)2(2/3)i(kd)3,
in which b1=1.8915316, b2=0.1648469, b3=1.7700004 and the Clausius–Mossotti polarizability αjCM is
αjCM=3d34π(εj1εj+2),
and
S=(uxinckxinc)2+(uyinckyinc)2+(uzinckzinc)2.
Here ktinc and utinc (t=x,y,z) are components of the incident vector kinc and the polarization vector uinc of the incident field. Substituting Eq. (9) into Eq. (8), we can obtain a system of 3N complex linear equations:
A¯p¯=E¯inc,
where
Amn={eikRm(m)n(n)Rm(m)n(n)[k2(I¯u(m)v(n)R^u(m)R^v(n)Rm(m)n(n)2)1ikRm(m)n(n)Rm(m)n(n)2(I¯u(m)v(n)3R^u(m)R^v(n)Rm(m)n(n)2)]mnαm(m)1m=n.
Here m(m) and n(n) are the indexes of the cubic elements corresponding to the mth row and the nth column of the matrix, respectively, and u(m)is the Cartesian components in the mth cubic element. Note that A¯ in Eq. (13) is a symmetry matrix. By solving Eq. (13), we can obtain the polarization of each element. Furthermore, the scattered electric field with the scattering vector ksca=kk^sca and the radar cross section (RCS) can be calculated as, respectively

Esca(r)=eikrrk2m=1Neikrmk^scapm,
σ=limr4πr2|EscaEinc|2=4πk4|m=1Neikrmk^scapm|2.

2.2 Characteristic mode method (CMM)

The CMM originally defined by Garbacz [30] and later reformulated by Harrington and Mautz [31,32] determines mode currents and modal fields for the objects with arbitrary shapes. The CMM offers deep insights into the analysis of scattering and radiation problems. According to A¯ in Eq. (13), its real and imaginary parts can be defined as

R¯=12(A¯+A¯*),X¯=12i(A¯A¯*).
Here asterisk denotes complex conjugate. Because A¯ is symmetry, R¯ and X¯ are real symmetry. From Eq. (17), we can know A¯=R¯+iX¯.

Case 1X¯0

For the matrix A¯ with nonzero imaginary part, we consider the following generalized eigenvalue equation

A¯q¯n=(1+iλn)R¯q¯n,
in which λn are eigenvalues and q¯n are corresponding eigenfunctions. Further, Eq. (18) can be reduced to

X¯q¯n=λnR¯q¯n.

Due to the real symmetry property of R¯ and X¯, the eigenvalues λn and the eigenfunctions q¯n are real. Moreover, the eigenfunctions q¯nsatisfy the orthogonality relationship [31,32], i.e.,

q¯mTZ¯q¯n=0(Z¯=A¯,R¯,X¯),
where mn . When the eigenfunctions q¯n are normalized according to
q¯nTR¯q¯n=1,
we can obtain
{q¯mTR¯q¯n=δmnq¯mTX¯q¯n=λnδmnq¯mTA¯q¯n=(1+iλn)δmn,
where δmn is the Kronecker delta. It can be seen from (22) that the choice of q¯n as the basis functions leads to diagonal matrix representations of A¯, R¯ and X¯. Therefore, we shall call q¯n the characteristic dipole moments. Then the dipole moment p of the object is expanded in terms of q¯n, i.e.,
p¯=lαlq¯l.
Substituting Eq. (23) into Eq. (13) and considering Eq. (22), we have
p¯=lVlinc1+iλlq¯l,
in which
Vlinc=q¯lTE¯inc.
Substituting Eq. (24) into Eq. (16), the RCS is rewritten as
σ=4πk4|lVlincVlsca1+iλl|2,
where Vlsca can be obtained by replacing k^incin Eq. (25) by k^sca.

Case 2 X¯0

If X¯ is approximately negligible compared with R¯, the eigenvalue Eq. (18) becomes meaningless. In this scenario, the eigenvalue equation should be reconsidered as

A¯q¯n=R¯q¯n=λnq¯n.

With the normalization and orthogonality of eigenfunctions q¯n, we have

q¯mTA¯q¯n=λnδmn.
Following the above derivation, we can obtain
p¯=lVlincλlq¯l,
Finally, the RCS can be expressed as

σ=4πk4|lVlincVlscaλl|2.

It is worthwhile pointing out that according to Eqs. (26) and (30) the eigenvalue λn ranging from to + is very important for scattering phenomenon. When |λn|=0, the corresponding eigenfunction q¯n is an externally resonant mode which is most efficient in scattering energy. On the contrary, the eigenfunction q¯n with |λn|= corresponds to the trivial mode, which does not lead to scattering problem. When λn>0(λn<0), q¯n is an inductive (capacitive) mode which stores predominantly magnetic (electric) energy. Figure 1 shows the eigenvalue distributions and the RCSs of two spheres with the same radius and different permittivity at 700MHz. The radius of the sphere is 0.15λ, in which λ is wavelength in free space. Relative permittivities of two spheres are 5 and 1.02, respectively. We can observe that the eigenvalues of the sphere with the relative permittivity of 5 distribute at zero nearby, while the eigenvalues of the nearly air-filled sphere tend to be infinite. Hence, the RCS of the former is far larger than that of the latter.

 figure: Fig. 1

Fig. 1 Two spheres with the same radius and the different permittivities. (a) Eigenvalue distribution. (b) RCS.

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2.3 Illusion and invisibility conditions

According to Eqs. (26) and (30), we can observe that the RCS of the object is tightly related to its eigenvalues. Assume a dielectric object with an arbitrary shape and relative permittivity ε1. In order to make the object have an illusion image as another object with relative permittivity εe, the object is wrapped by a dielectric shell with relative permittivity ε2 so that the shape of the resultant coated object is same as that of the illusion object, as shown in Fig. 2.

 figure: Fig. 2

Fig. 2 Diagram of the illusion effect.

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We use the DDA method to solve the plane wave scattering from the coated object and the illusion object, respectively. The corresponding linear equation systems of the coated and the illusion objects are

A¯coatedp¯coated=E¯inc,
A¯Illusionp¯Illusion=E¯inc.
Considering that the coated and illusion objects have the same shapes, the dimensions of the matrices in Eqs. (31) and (32) are same when the same cubic elements are used to discretize these two objects. According to the CMM, we have
(R¯coated)1X¯coatedq¯coated=λcoatedq¯coated,
(R¯Illusion)1X¯Illusionq¯Illusion=λIllusionq¯Illusion.
If the coated object has the same eigenvalues and eigenfunctions as those of the illusion object, the coated object behaves same as the illusion object. However, this rigorous condition is almost impossible to achieve. An approximate to the rigorous condition is to keep summation of all eigenvalues same for the coated and illusion objects, i.e., the same traces of the matrices. Specifically, we have
tr[X¯Illusion(R¯Illusion)1]=tr[X¯coated(R¯coated)1].
When the object is of moderately size, the diagonal elements of the matrices A¯coated and A¯Illusion in Eqs. (31) and (32) are dominant compared with the non-diagonal elements. Hence these non-diagonal elements are reasonably omitted. In this scenario, the matrices in Eq. (35) can be written as
X¯Illusion=X¯coated=diag[23k323k3],
R¯Illusion=diag[βeβe],
R¯coated=diag[β2β2β1β1β2β2],
where βs=4π3d3εs+2εs1+k2d(b1+b2εs) (s=1,2,e) . Assume that the total numbers of the dipole moments for both the coated and illusion objects are N, and the numbers of the dipole moments for the original object and the coating shell are N1 and N2, respectively. Therefore, we have N = N1 + N2. Inserting Eqs. (36)-(38) into Eq. (35), we can obtain
N1β1+N2β2=Nβe.
Solving Eq. (39), the relative permittivity of the coating shell can be obtained as
ε2=3β2d33k2(b1b2)d24π6b2k2d216b2k2d2{9d6[(b1+b2)k2d218(b1+b2)k2β2d5+,+πk2d2(24b1120b2)+9β22]24πβ2d3+16π2}12
in which

β2=N2β1βe(Nβ1N1βe).

In order to make the original object invisible, we only require to replace the relative permittivity εe of the illusion object by one. In this case, we have βe= and the elements in the X¯Illusion are far smaller than those in the R¯Illusion. Hence we can obtain tr[R¯coated]=, which means no scattering phenomena.

Note that the relative permittivity of the coating determined by (40) does not rigorously satisfy the condition that the coated object has the same eigenvalues as those of the illusion object. Therefore, the relative permittivity in (40) may be considered as an initial value. By optimizing the relative permittivity, we search for the optimal invisibility and illusion effects of the arbitrarily shaped object. Here we define the following evaluation functions for the optimization procedure [27]:for illusion

σ1=14π0π02π|σcoated(θ,ϕ)σillusion(θ,ϕ)|sinθdθdϕ.
and for invisibility
σ2=14π0π02π|σcoated(θ,ϕ)|sinθdθdϕ.
By suitably choose the relative permittivity of the coating shell, we can minimize σ1 and σ2 to achieve the optimal invisibility and illusion effects of the arbitrarily-shaped objects.

3. Simulations and discussion

To validate the above theoretical design, some numerical examples are given in this section. A finite element based numerical simulation is used to study illusion and invisibility cloak performance. An incident plane wave is considered in the simulation and the computational domain is terminated by the scattering boundary conditions.

As the first example, consider a slightly lossy cubic object with a side length of 0.05 m and relative permittivity of ε1=3.8+i0.5. In order to make the cubic object have the same illusion image as a sphere with a radius of 0.075 m and relative permittivity of εe=5 at the frequency of 600 MHz, a coating with relative permittivity of ε2=5.142 is designed according to Eq. (40). Figure 3 shows RCS comparisons in XOY and XOZ planes between the coated and illusion objects, in good agreement. Further, Fig. 4 demonstrates near-field distributions of the coated and illusion objects. Two nearly identical field distributions are observed. Backscattering comparison between the coated and illusion objects over the frequencies is plotted in Fig. 5. It can be seen that backscattering cross sections of the coated and illusion objects are almost same in a wide frequency band ranging from 100MHz to 1GHz.

 figure: Fig. 3

Fig. 3 RCS comparison between the coated object and the illusion object. (a) XOY plane. (b) XOZ plane.

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 figure: Fig. 4

Fig. 4 Comparison of near field distribution. (a) Coated object. (b) Illusion object.

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 figure: Fig. 5

Fig. 5 Backscattering comparison between the coated and illusion objects over frequencies.

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In the following, a mantle cloaking for a target with a large loss is designed. We consider a cubic object with a side length of 0.2λ0 and relative permittivity of ε1=4.96+i5.55. To achieve the lossy object invisible, the object is wrapped by a material shell with a thickness of 0.1λ0. According to Eq. (40), the relative permittivity of the coating is obtained as ε2=0.61. The object is illuminated by a TE polarized plane wave with a wavelength of λ0=30.2μm in the direction of θ=90o and ϕ=0o, and Fig. 6 demonstrates the comparison of the near-field distribution in XOZ plane between the lossy object without and with the cloaking. With the designed cloaking, the object becomes invisible. Figure 7 depicts the RCSs of the lossy object with and without the coating in XOY and XOZ planes, respectively. We can observe that a RCS reduction of 7dB is obtained by using the designed coating. According to Figs. 3-7, we can know that the cloak designed by the proposed method is independent of the dissipation of the target.

 figure: Fig. 6

Fig. 6 Comparison of near field distribution. (a) Sole object. (b) Coated object.

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 figure: Fig. 7

Fig. 7 RCS comparison between the coated object and the sole object. (a) XOY plane. (b) XOZ plane.

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Next, the illusion cloak design for a target composed of an anisotropic material is performed. Consider a cylinder with a radius of 0.1λ0. The anisotropic relative permittivity of the cylinder is given as follows:

ε¯1=[6.2541].
A TE polarized plane wave with a frequency of 3GHz is incident on the cylinder. In order to make the cylindrical object disguised as a cylinder with a radius of 0.2λ0 and the relative permittivity of εe=6.5, a coating with the relative permittivity of ε2=7 is designed according to Eq. (40). Figures 8 and 9 show comparisons of the near-field distribution in the XOY plane and the RCS between the anisotropic cylinder with and without the covering, respectively. Good illusion performance can be observed and thus the proposed method is suitable to the cloaking design of the anisotropic objects.

 figure: Fig. 8

Fig. 8 Comparison of near field distribution. (a) Coated object. (b) Illusion object.

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 figure: Fig. 9

Fig. 9 RCS comparison between the coated object and the sole object.

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Further, an invisible cloaking design for a target with a dispersive material is implemented. Here consider a cubic object with a side length of 0.6 m. The object is made of the Lorentz medium with the following relative permittivity

ε1=ε+(εsε)ωp2ωp2+j2ωδpω2
in which ε=3, εs=4.5, δp=108s1, and ωp=4×108s1. The real and imaginary parts of the relative permittivity of the cube are given in Fig. 10 (a). In order to achieve the invisibility of the dispersive object, a mantle coating is designed according to the relative permittivity of the object at 200 MHz. The relative permittivity of the coating is determined as ε2=0.39from Eq. (40). Figures 10(b) and 11 show comparisons of the backscattering cross section and the near-field distribution between the sole object and the coated object, respectively. At 200 MHz, a RCS reduction of 20 dB can be obtained, and thus good invisibility is achieved. At the frequencies below 200 MHz, good RCS reductions are still observed because there is a slight change in the relative permittivity of the dispersive object compared with that at 200 MHz. However, with the increase of the frequency, the relative permittivity of the dispersive object greatly varies. Hence the invisibility effect caused by the coating based on the relative permittivity of the object at 200 MHz becomes worsen.

 figure: Fig. 10

Fig. 10 Invisibility of the dispersive object. (a) Relative permittivity of the object. (b) Backscattering comparison between the coated and illusion objects over frequencies.

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 figure: Fig. 11

Fig. 11 Comparison of near field distribution at 200 MHz. (a) Sole object. (b) Coated object.

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In the fifth example, consider a goblet-shaped object with relative permittivity ofε1=2.5, as shown in Fig. 14. A TE polarized plane wave with the frequency of 500 MHz is incident on the object from the direction of θ=90o and ϕ=0o. For the purpose of suppressing its RCS, the object is wrapped by a material shell. According to Eq. (40), we have ε2=0.76. The relative permittivity of the coating is reasonably adjusted to obtain the minimal evaluation function σ2. As shown in Fig. 12, σ2 reaches the minimum value with ε2=0.45. Figure 13 shows the RCS reduction of the goblet-shaped object coated by a designed shell. It can be seen that the RCS reductions of 5.8 dB at ϕ=0o in XOY plane and at θ=90o in XOZ plane are obtained when the unoptimized coating is used. With the use of the optimized coating, the RCS reductions of 14dB at ϕ=0o in XOY plane and at θ=90o in XOZ plane are achieved. A comparison of the near-field distribution between the sole object and the coated object with the optimized coating is shown in Fig. 14. It can be seen that the object becomes invisible when the designed coating is used. Further, the RCS comparisons between the sole object and the coated object with the optimized coating for the obliquely incident plane waves with TE and TM polarizations are given in Figs. 15 and 16, respectively. It can be seen that whatever the polarization of the incident wave is, the RCS of the object at θ=0o is reduced over 10dB.

 figure: Fig. 12

Fig. 12 Variation of the evaluation function with the relative permittivity of the coating.

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 figure: Fig. 13

Fig. 13 RCS comparison between the coated object and the sole object. (a) XOY plane. (b) XOZ plane.

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 figure: Fig. 14

Fig. 14 Comparison of near-field distribution. (a) Sole object. (b) Coated object.

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 figure: Fig. 15

Fig. 15 RCS comparison between the coated object and the sole object for TE polarized, obliquely incident wave. (a) YOZ plane. (b) XOZ plane.

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 figure: Fig. 16

Fig. 16 RCS comparison between the coated object and the sole object for TM polarized, obliquely incident wave. (a) YOZ plane. (b) XOZ plane.

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Finally, consider a Chinese map-shaped object with an area of 0.412 m2 and a height of 0.2 m and the relative permittivity of 6.5, as shown in Fig. 19. A cover is designed to make the object disguised as a similar object with an area of 1.1 m2 and the relative permittivity of 5 at the frequency of 300 MHz. According to Eq. (40), the relative permittivity of the coating is obtained, i.e., ε2=4.03. Further we determine the optimal coating parameter of ε2=4.38 for the minimal evaluation function σ1, as shown in Fig. 17. Figures 18 and 19 demonstrate comparisons of the RCS and the near-field distribution between the coated object with the optimal coating and the illusion object, respectively. Good illusion performance is observed in this example.

 figure: Fig. 17

Fig. 17 Variation of the evaluation function with the relative permittivity of the coating.

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 figure: Fig. 18

Fig. 18 RCS comparison between the coated object and the illusion object. (a) XOY plane. (b) XOZ plane.

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 figure: Fig. 19

Fig. 19 Comparison of near field distribution. (a) Coated object. (b) Illusion object.

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According to above numerical examples, the invisibility and illusion mantle cloaks designed by the proposed method consists of a homogeneous and isotropic material with the relative permittivity larger than zero, whatever the target is composed of isotropic or anisotropic, lossless or lossy, dispersive or nondispersive material. Therefore, the proposed mantle cloaking is more easily achieved. A possible implementation for the cloak is to use the metasurface. Some metasurface elements, such as capacitively coupled short dipole and spiral resonator elements [18], square and triangle elements [23], and Jerusalem cross element [24], have been designed to achieve the invisibility and the illusion images of the objects with canonical shapes including sphere and cylinder.

4. Conclusions

We have successfully demonstrated invisibility and illusion cloak designs for the arbitrarily shaped objects based on the CMM. We have theoretically investigated the relationship between the scattering field and generalized eigenvalues of the matrix in the DDA method. With the proposed design method, the cloaks have arbitrarily shapes and provide ideal invisibility and illusion performance in microwave and optical frequencies, independent of the incident wave and the target.

Funding

National Natural Science Foundation of China (No. 61771359); Technology Innovation Research Project of the CETC; Fundamental Research Funds for the Central Universities (No. SPSZ031410).

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Figures (19)

Fig. 1
Fig. 1 Two spheres with the same radius and the different permittivities. (a) Eigenvalue distribution. (b) RCS.
Fig. 2
Fig. 2 Diagram of the illusion effect.
Fig. 3
Fig. 3 RCS comparison between the coated object and the illusion object. (a) XOY plane. (b) XOZ plane.
Fig. 4
Fig. 4 Comparison of near field distribution. (a) Coated object. (b) Illusion object.
Fig. 5
Fig. 5 Backscattering comparison between the coated and illusion objects over frequencies.
Fig. 6
Fig. 6 Comparison of near field distribution. (a) Sole object. (b) Coated object.
Fig. 7
Fig. 7 RCS comparison between the coated object and the sole object. (a) XOY plane. (b) XOZ plane.
Fig. 8
Fig. 8 Comparison of near field distribution. (a) Coated object. (b) Illusion object.
Fig. 9
Fig. 9 RCS comparison between the coated object and the sole object.
Fig. 10
Fig. 10 Invisibility of the dispersive object. (a) Relative permittivity of the object. (b) Backscattering comparison between the coated and illusion objects over frequencies.
Fig. 11
Fig. 11 Comparison of near field distribution at 200 MHz. (a) Sole object. (b) Coated object.
Fig. 12
Fig. 12 Variation of the evaluation function with the relative permittivity of the coating.
Fig. 13
Fig. 13 RCS comparison between the coated object and the sole object. (a) XOY plane. (b) XOZ plane.
Fig. 14
Fig. 14 Comparison of near-field distribution. (a) Sole object. (b) Coated object.
Fig. 15
Fig. 15 RCS comparison between the coated object and the sole object for TE polarized, obliquely incident wave. (a) YOZ plane. (b) XOZ plane.
Fig. 16
Fig. 16 RCS comparison between the coated object and the sole object for TM polarized, obliquely incident wave. (a) YOZ plane. (b) XOZ plane.
Fig. 17
Fig. 17 Variation of the evaluation function with the relative permittivity of the coating.
Fig. 18
Fig. 18 RCS comparison between the coated object and the illusion object. (a) XOY plane. (b) XOZ plane.
Fig. 19
Fig. 19 Comparison of near field distribution. (a) Coated object. (b) Illusion object.

Equations (45)

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E ( r ) = E i n c ( r ) + i 4 π ω ε 0 V G ¯ ( r , r ) J ( r ) d v ,
G ¯ ( r , r ) = [ k 2 I ¯ + ] g ( r , r ) = g ( r , r ) [ k 2 ( I ¯ R ^ R ^ R 2 ) 1 i k R R 2 ( I ¯ 3 R ^ R ^ R 2 ) ] ,
g ( r , r ) = e i k | r r | | r r | , R ^ = R R = r r | r r | .
E ( r ) i 4 π ε 0 ω V j G ¯ ( r , r ) J ( r ) d v = E e x c ( r ) ,
E e x c ( r ) = E i n c ( r ) + i 4 π ε 0 ω k = 1 k j N V k G ¯ ( r , r ) J ( r ) d v .
E j e x c = E j i n c + i 4 π ω ε 0 k = 1 k j N G ¯ ( r j , r k ) J k Δ V k .
p k = i 4 π ω ε 0 V k J k .
E j e x c = E j i n c + k = 1 k j N G ¯ ( r j , r k ) p k .
p j = α j E j e x c ,
α j = α j C M 1 + ( α j C M / d 3 ) [ b 1 + ε j b 2 + ε j b 3 S ] ( k d ) 2 ( 2 / 3 ) i ( k d ) 3 ,
α j C M = 3 d 3 4 π ( ε j 1 ε j + 2 ) ,
S = ( u x i n c k x i n c ) 2 + ( u y i n c k y i n c ) 2 + ( u z i n c k z i n c ) 2 .
A ¯ p ¯ = E ¯ i n c ,
A m n = { e i k R m ( m ) n ( n ) R m ( m ) n ( n ) [ k 2 ( I ¯ u ( m ) v ( n ) R ^ u ( m ) R ^ v ( n ) R m ( m ) n ( n ) 2 ) 1 i k R m ( m ) n ( n ) R m ( m ) n ( n ) 2 ( I ¯ u ( m ) v ( n ) 3 R ^ u ( m ) R ^ v ( n ) R m ( m ) n ( n ) 2 ) ] m n α m ( m ) 1 m = n .
E s c a ( r ) = e i k r r k 2 m = 1 N e i k r m k ^ s c a p m ,
σ = lim r 4 π r 2 | E s c a E i n c | 2 = 4 π k 4 | m = 1 N e i k r m k ^ s c a p m | 2 .
R ¯ = 1 2 ( A ¯ + A ¯ * ) , X ¯ = 1 2 i ( A ¯ A ¯ * ) .
A ¯ q ¯ n = ( 1 + i λ n ) R ¯ q ¯ n ,
X ¯ q ¯ n = λ n R ¯ q ¯ n .
q ¯ m T Z ¯ q ¯ n = 0 ( Z ¯ = A ¯ , R ¯ , X ¯ ) ,
q ¯ n T R ¯ q ¯ n = 1 ,
{ q ¯ m T R ¯ q ¯ n = δ m n q ¯ m T X ¯ q ¯ n = λ n δ m n q ¯ m T A ¯ q ¯ n = ( 1 + i λ n ) δ m n ,
p ¯ = l α l q ¯ l .
p ¯ = l V l i n c 1 + i λ l q ¯ l ,
V l i n c = q ¯ l T E ¯ i n c .
σ = 4 π k 4 | l V l i n c V l s c a 1 + i λ l | 2 ,
A ¯ q ¯ n = R ¯ q ¯ n = λ n q ¯ n .
q ¯ m T A ¯ q ¯ n = λ n δ m n .
p ¯ = l V l i n c λ l q ¯ l ,
σ = 4 π k 4 | l V l i n c V l s c a λ l | 2 .
A ¯ c o a t e d p ¯ c o a t e d = E ¯ i n c ,
A ¯ I l l u s i o n p ¯ I l l u s i o n = E ¯ i n c .
( R ¯ c o a t e d ) 1 X ¯ c o a t e d q ¯ c o a t e d = λ c o a t e d q ¯ c o a t e d ,
( R ¯ I l l u s i o n ) 1 X ¯ I l l u s i o n q ¯ I l l u s i o n = λ I l l u s i o n q ¯ I l l u s i o n .
t r [ X ¯ I l l u s i o n ( R ¯ I l l u s i o n ) 1 ] = t r [ X ¯ c o a t e d ( R ¯ c o a t e d ) 1 ] .
X ¯ I l l u s i o n = X ¯ c o a t e d = d i a g [ 2 3 k 3 2 3 k 3 ] ,
R ¯ I l l u s i o n = d i a g [ β e β e ] ,
R ¯ c o a t e d = d i a g [ β 2 β 2 β 1 β 1 β 2 β 2 ] ,
N 1 β 1 + N 2 β 2 = N β e .
ε 2 = 3 β 2 d 3 3 k 2 ( b 1 b 2 ) d 2 4 π 6 b 2 k 2 d 2 1 6 b 2 k 2 d 2 { 9 d 6 [ ( b 1 + b 2 ) k 2 d 2 18 ( b 1 + b 2 ) k 2 β 2 d 5 + , + π k 2 d 2 ( 24 b 1 120 b 2 ) + 9 β 2 2 ] 24 π β 2 d 3 + 16 π 2 } 1 2
β 2 = N 2 β 1 β e ( N β 1 N 1 β e ) .
σ 1 = 1 4 π 0 π 0 2 π | σ c o a t e d ( θ , ϕ ) σ i l l u s i o n ( θ , ϕ ) | sin θ d θ d ϕ .
σ 2 = 1 4 π 0 π 0 2 π | σ c o a t e d ( θ , ϕ ) | sin θ d θ d ϕ .
ε ¯ 1 = [ 6.25 4 1 ] .
ε 1 = ε + ( ε s ε ) ω p 2 ω p 2 + j 2 ω δ p ω 2
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