ARCS: Active Radar Cross Section for Multi-Radiator Problems in Complex EM Environments

In order to analyze the scattering properties in multi-radiator problems, the active radar cross section (ARCS) concept is proposed under complex electromagnetic (EM) environments. The corresponding calculation methods and formulation are proposed by incorporating the monostatic radar cross section (RCS) concept with external disturbances. By introducing the phase characteristics into the ARCS concept, the coherent problems can be accurately solved. Through analyzing the external disturbance and the radar waves by employing the finite element method, the coherent and the incoherent characteristics of the external disturbance can be simulated in complex structures. Numerical examples and an experiment are carried out to further demonstrate the effectiveness of the proposed ARCS concept. The results demonstrate that the proposed ARCS concept obtains better universality compared with the existing incoherent multi-radiator formulation. Meanwhile, the ARCS can be identical with the solution which is obtained by the single radar wave. Compared with the existing incoherent methods for external disturbances calculations, the proposed ARCS concept is more rational. Through the experiment, the effectiveness of the calculation method and formulation is further demonstrated and validated.


Introduction
With the development of electronic devices and radar systems, the electromagnetic (EM) environment becomes more increasingly complex than ever before [1][2][3]. In complex and various EM environments, the analysis of scattering problems, the improvement of radar systems and the recognition of hidden targets have become frontier science in recent years [4][5][6][7], including electronic countermeasures, electronic support and so on [8,9]. When solving scattering problems, the investigation of the scattering properties is regarded as one of the most important aspects [8][9][10]. Especially in complex EM environments, the scattering properties will be affected by the incidence of multi-radiators [11]. Hence, the investigation of target scattering properties in complex EM environments has been established as of great value both for military and civil employments [12,13].
Within various parameters, the radar cross section (RCS) is regarded as one of the most important ones during the analyzing and predicting of scattering property problems [14,15]. The radar is a device for transmitting and receiving electromagnetic waves for the purpose of accurately detecting and identifying the target. The RCS of the target is usually measured by radar. The radar is often calibrated to make data accurate before it is used. Active radar calibrators are used to calibrate the radar [16][17][18]. Thus, RCS has been extensively employed and investigated by various countries and experts [19][20][21]. Different full-wave analysis methodologies have been introduced during RCS investigation, such as the method of moment (MoM) [22][23][24] and finite difference time domain (FDTD) [25][26][27][28]. In

 
Rm is the distance between radar and target. When R is an infinitely large value, the distance between the radar and the antenna satisfies the far-field condition. Thus, the influence of the distance on RCS can be eliminated. As shown in Figure 1, the scattering ability can be reflected by the RCS value. When the target is incident by the radar, the power received by the target is scattered in various directions. Thus, the power distribution becomes different in space. The power distribution is defined as the scattering field which can be reflected by RCS. In view of induced current, the scattering field comes from the second radiation of induced current on the surface of the target. RCS is a complex physical quantity which is related to the geometry parameters and physical parameters, such as size, shape and material; the parameters of incidence waves, such as frequency, polarization direction and waveform; and the attitude angle between the radar and the targets.
However, the conventional RCS concept is only efficient in single radiator problems. When the target is incident by the multi-radiators, the scattering properties of targets change compared with the single radiator situation. The reason is that the waves which come from the multi-radiators and the radar wave work together, resulting in the occupation of modulation effect. Meanwhile, the scattering effect is generated between the radiated waves of the active equipment on the target and the scattering echo waves, resulting in the scattering waves diversification. The sketch picture of the multi-radiators problem is shown in Figure 2. RCS is a complex physical quantity which is related to the geometry parameters and physical parameters, such as size, shape and material; the parameters of incidence waves, such as frequency, polarization direction and waveform; and the attitude angle between the radar and the targets.
However, the conventional RCS concept is only efficient in single radiator problems. When the target is incident by the multi-radiators, the scattering properties of targets change compared with the single radiator situation. The reason is that the waves which come from the multi-radiators and the radar wave work together, resulting in the occupation of modulation effect. Meanwhile, the scattering effect is generated between the radiated waves of the active equipment on the target and the scattering echo waves, resulting in the scattering waves diversification. The sketch picture of the multi-radiators problem is shown in Figure 2.
However, the conventional RCS concept is only efficient in single radiator problems. When the target is incident by the multi-radiators, the scattering properties of targets change compared with the single radiator situation. The reason is that the waves which come from the multi-radiators and the radar wave work together, resulting in the occupation of modulation effect. Meanwhile, the scattering effect is generated between the radiated waves of the active equipment on the target and the scattering echo waves, resulting in the scattering waves diversification. The sketch picture of the multi-radiators problem is shown in Figure 2. The scattering echo waves are caused by the radar, multi-radiators and active equipment working together. The radar outside the target, the radiators outside the target and the frequency equipment on the surface of the target work together towards the target, resulting in the second radiation in space. This second radiation is called ARCS. Here, the definition of ARCS can be proposed as where σ m 2 denotes the ARCS, E iR (V/m) is the incident field which is radiated on the target by radar and R (m) is the distance between radar and target. Similar to the RCS, the impact of distance on ARCS can be eliminated when R is infinitely large. E s (V/m) is the scattering field of the receiving antenna in the radar system under the multi-radiators, which can be calculated as where E s_iR is the scattering field caused by E iR , E s_iM is the total field which can be obtained by adding the E iM with the waves from surface active equipment and E iM is the electric field radiated by multi-radiators. The sketch picture of the ARCS concept is shown in Figure 3. It can be observed that E s of ARCS is composed of the radar, multi-radiators and active equipment working together on the target. Meanwhile, it can be concluded that E s of ARCS is completely different compared with RCS. The scattering echo waves are caused by the radar, multi-radiators and active equipment working together. The radar outside the target, the radiators outside the target and the frequency equipment on the surface of the target work together towards the target, resulting in the second radiation in space. This second radiation is called ARCS. Here, the definition of ARCS can be proposed as In order to solve scattering fields of perfectly E condition (PEC) targets, the Green's function Surface S can be divided into four parts. Region I can be expressed as S I , which is illuminated by incident plane wave (E i1 , H i1 ); region II, expressed as S II , is illuminated by two incident plane waves (E i1 , H i1 and E i2 , H i2 ); region III is illuminated by incident plane wave (E i2 , H i2 ), and region IV is not illuminated. Surface S can be expressed as Assuming E iI , E iII , E iIII and H iI , H iII , H iIII represent the incident electric and magnetic field, respectively, of S I , S II and S III , one obtains In order to solve scattering fields of perfectly E condition (PEC) targets, the Green's function G A (r, r ) was introduced. The vector and the scalar potentials can be expressed as [38] A(r) = µ S G A (r, r ) · J(r )dS (8) where A(r) and Φ(r) are the vector and scalar potentials at r, r is the position vectors for observation point, dS is the increment area, µ and ε are the permeability and permittivity, ρ r is the charge density and J(r ) is the surface current density. Assuming J I , J II , J III , J IV , H sI , H sII , H sIII , H sIV and H I , H II , H III , H IV represent currents, scattering magnetic fields H sn r and total magnetic fields J n r , respectively, of S I , S II ,S III and S IV , one obtains H sn r = H n r − H in r , r ∈ S n , n ∈ I, II, III, IV (10) J n r =n × H n r (11) wheren is the unit normal outward from the surface. By substituting (7)-(11) into (4), the far zone (r) scattering field E S (r) can be expressed as As can be observed, the multi-radiator wave can change the magnetic field on the target according to (11). Thus, the scattering field can be changed according to (12). The far electric field can be expressed as where rE is the far electric field, which can be obtained by multiplying E with the corresponding r, r is the radiation radius and E is the electric field at the distance of r. Generally, rE can be regarded as the scattering field, and one obtains where (rE) s is the scattering field of rE. By substituting (14) into (2), the ARCS can be written in the final form as

Coherent and Incoherent Calculation of ARCS
The impact of radar echo can be analyzed through the coherent and incoherent characteristics. In the incoherent situation, the received radar power of scattering waves is the addition of scattering power, which is generated by the incidence of radar and the incidence of multi-radiators, as shown in Figure 5.

Coherent and Incoherent Calculation of ARCS
The impact of radar echo can be analyzed through the coherent and incoherent characteristics. In the incoherent situation, the received radar power of scattering waves is the addition of scattering power, which is generated by the incidence of radar and the incidence of multi-radiators, as shown in Figure 5. The incoherent external disturbance can be calculated as where P t1 , G 1 , λ 1 , R 1 and σ 1 are radar radiated power, radar gain, radar wavelength and distance between radar and target and the monostatic RCS. P t2 , G 2 , λ 2 , R 2 and σ 2 are the multi-radiator radiated power, multi-radiator gain, multi-radiator wavelength, distance between multi-radiator and target and bistatic RCS, respectively. The incoherent external disturbance can be obtained by employing (15) and (16) as where (rE) M s is the scattering field directed to the radar when E iM incidents the object separately and (rE) R s is the backward scattering field when E iR incidents the object separately. However, Equation (17) is no longer efficient in the calculation of total radar receiving power under coherent situations. The reason is that the stable relationship is formed between the radar and multi-radiators. To alleviate such a problem, the synthetic electric field on the surface of the target is calculated as follows where ϕ 1 and ϕ 2 are the phase of radar wave and the phase multi-radiators, respectively, and E i is the synthetic electric field. The power of echo wave which is received by the radar can be given as where λ is the wavelength of the EM waves and η is the wave impedance in a vacuum.

Active Cancellation Technology
In [61][62][63], the interference effect is analyzed from the perspective of active cancellation. The interference effect will be generated with the incidence of the same frequency of multiple waves, resulting in the addition and the cancellation of the field amplitude. More precisely, the phenomenon is caused by the strengthened and weakened wave vibration. The active cancellation can be described from several aspects as follows: (1) active electronic equipment, which is loaded on the target body emits waves to interfere with the incoming wave enemy; and (2) scattering field, which is weakened along the direction which can be detected by the enemy radar. Supposing that the RCS at radar and cancellation signal are σ 0 and σ 1 , respectively, the phases of the radar incident wave and the cancellation wave are ϕ 0 and ϕ 1 . RCS aiming at consultant wave can be given as Equation (20) can be further obtained as

Numerical Results, Experiment Results And Discussion
To demonstrate the ARCS concept for multi-radiator problems, numerical examples and an experiment are introduced, respectively. Firstly, a metal cylinder structure is employed to demonstrate the unity of the proposed ARCS and conventional RCS. Secondly, the coherent theory is introduced in the ARCS concept. Thirdly, the ARCS statistics characteristic is investigated through the F22 model. Finally, the active cancellation based on the ARCS concept is simulated and tested experimentally. Here, the numerical examples are simulated by HFSS.

Unity of ARCS and RCS
In order to further demonstrate the ARCS concept in different applications, it is necessary to validate the uniformity between the ARCS and RCS. In this section, the ARCS concept is testified through a metal cylinder structure with a single incidence wave. The unity is illustrated through comparison.
As shown in Figure 6, the incidence wave is a plane wave with a maximum frequency of 1 GHz and wavelength (λ) of 0.3 m. The wave E iR in the xOz plane incidents along the negative side of the z-direction. The polarization direction is along the y-direction. In this calculation, E iM = 0 is chosen to validate the uniformity. rE is the scatted field by the target. The metal cylinder structure has a radius of 0.75 m (2.5λ) and a height of (5λ). The metal material can be simulated by employing the perfect E conductor (PEC). The perfectly matched layer (PML) is employed at boundaries. The distances between the object and the boundaries are 0.075 m. In this simulation, rE is observed for further calculation.

Numerical Results, Experiment Results And Discussion
To demonstrate the ARCS concept for multi-radiator problems, numerical examples and an experiment are introduced, respectively. Firstly, a metal cylinder structure is employed to demonstrate the unity of the proposed ARCS and conventional RCS. Secondly, the coherent theory is introduced in the ARCS concept. Thirdly, the ARCS statistics characteristic is investigated through the F22 model. Finally, the active cancellation based on the ARCS concept is simulated and tested experimentally. Here, the numerical examples are simulated by HFSS.

Unity of ARCS and RCS
In order to further demonstrate the ARCS concept in different applications, it is necessary to validate the uniformity between the ARCS and RCS. In this section, the ARCS concept is testified through a metal cylinder structure with a single incidence wave. The unity is illustrated through comparison.
As shown in Figure 6, the incidence wave is a plane wave with a maximum frequency of 1 GHz and wavelength (  ) of 0.3 m. The wave iR E in the xOz plane incidents along the negative side of the z-direction. The polarization direction is along the y-direction. In this calculation, 0 iM E  is chosen to validate the uniformity. rE is the scatted field by the target. The metal cylinder structure has a radius of 0.75 m (2.5  ) and a height of (5  ). The metal material can be simulated by employing the perfect E conductor (PEC). The perfectly matched layer (PML) is employed at boundaries. The distances between the object and the boundaries are 0.075 m. In this simulation, rE is observed for further calculation.

Comparison of ARCS between the Coherent Distribution and Incoherent Distribution
To further demonstrate the characteristics of the coherent and incoherent distribution at different phases, a prismatic model is carried out. As shown in Figure 8, the top and bottom of the PEC prismatic model are 0.3 m and 1.5 m, respectively. The height of the model is 1.5 m. The incidence wave iR E which is polarized along the y-direction, incidents from the xOz plane with the range between -180° to 180°. The maximum frequency of iR E is 1 GHz. As shown in Figure 9, when the object is incident by the radar wave and the multi-radiators, the surface-induced current of the metal prismoid model is different compared with a single radar wave. The radar wave is incident along the z-axis. The multi-radiator wave from 30° is with the same power

Comparison of ARCS between the Coherent Distribution and Incoherent Distribution
To further demonstrate the characteristics of the coherent and incoherent distribution at different phases, a prismatic model is carried out. As shown in Figure 8

Comparison of ARCS between the Coherent Distribution and Incoherent Distribution
To further demonstrate the characteristics of the coherent and incoherent distribution at different phases, a prismatic model is carried out. As shown in Figure 8, the top and bottom of the PEC prismatic model are 0.3 m and 1.5 m, respectively. The height of the model is 1.5 m. The incidence wave iR E which is polarized along the y-direction, incidents from the xOz plane with the range between -180° to 180°. The maximum frequency of iR E is 1 GHz. As shown in Figure 9, when the object is incident by the radar wave and the multi-radiators, the surface-induced current of the metal prismoid model is different compared with a single radar wave. The radar wave is incident along the z-axis. The multi-radiator wave from 30° is with the same power The directions of the multi-radiators' electronic fields E iM which have the same polarization direction with E iR are assumed as the opposite of the z-direction. The boundaries conditions and the position of the model are the same as the numerical example above. To obtain the ARCS, the scattering field rE is observed.
As shown in Figure 9, when the object is incident by the radar wave and the multi-radiators, the surface-induced current of the metal prismoid model is different compared with a single radar wave. The radar wave is incident along the z-axis. The multi-radiator wave from 30 • is with the same power and polarization direction with the incident wave. Figure 9a shows the current distribution of the surface of metal prismoid with the incidence of the radar wave. Figure 9b shows the surface current distribution of the surface of the metal prismoid model with the incidence of both the radar wave and the multi-radiator wave. The phase difference between the radar wave and multi-radiator wave is 0 • . Figure 9c shows the surface-induced current distribution of the surface of the metal prismoid model with a different phase angle of 180 • . Figure 9d shows the surface-induced current distribution of the surface of the metal prismoid model with a different phase angle of 90 • .
Sensors 2020, 20, x FOR PEER REVIEW 10 of 20 and the multi-radiator wave. The phase difference between the radar wave and multi-radiator wave is 0°. Figure 9c shows the surface-induced current distribution of the surface of the metal prismoid model with a different phase angle of 180°. Figure 9d shows the surface-induced current distribution of the surface of the metal prismoid model with a different phase angle of 90°.  Figure 10 shows the coherent external disturbances with the same, inverse and 90° difference in phases and incoherent external disturbances in (16) [64]. It can be observed that the curves are symmetrical at 0°. The reason is that the prismatic model is a symmetrical structure. Thus, the characteristics at the right side of 0° are discussed here. The left side can be obtained by employing the same approach.
When the incidence wave and the multi-radiator wave hold the same phases, the coherent external disturbance ARCS is 3.01 dBsm higher than the incoherent at 0°. From 0° to 25° and 175° to 180°, the coherent external disturbances are 2.00 dBsm higher than the incoherent external disturbances. Within the whole degree band, the maximum difference between the coherent and incoherent external disturbance is 8.93 dBsm. From 25° to 55° and 90° to 175°, a large difference occurs. Between 110° to 175°, the coherent external disturbances and incoherent external disturbances are almost overlapped.  Figure 10 shows the coherent external disturbances with the same, inverse and 90 • difference in phases and incoherent external disturbances in (16) [64]. It can be observed that the curves are symmetrical at 0 • . The reason is that the prismatic model is a symmetrical structure. Thus, the characteristics at the right side of 0 • are discussed here. The left side can be obtained by employing the same approach.
When the incidence wave and the multi-radiator wave hold the same phases, the coherent external disturbance ARCS is 3.01 dBsm higher than the incoherent at 0 • . From 0 • to 25 • and 175 • to 180 • , the coherent external disturbances are 2.00 dBsm higher than the incoherent external disturbances. Within the whole degree band, the maximum difference between the coherent and incoherent external disturbance is 8.93 dBsm. From 25 • to 55 • and 90 • to 175 • , a large difference occurs. Between 110 • to 175 • , the coherent external disturbances and incoherent external disturbances are almost overlapped. Comparing the coherent external disturbances at the inverse phase with the incoherent external disturbances, it can be calculated that the ARCS of coherent external disturbance is 319.32 dBsm lower than that of the incoherent external disturbance at 0°. From 110° to 175°, the curves are almost overlapped. At the other angles, a large calculation difference can be observed.
Comparing the coherent external disturbances at the phase difference of 90° with the incoherent external disturbances, it can be observed that the ARCS of coherent external disturbance is almost overlapped with that of the incoherent external disturbance around an angle of 0°.
As can be concluded from the second numerical example, the difference between the coherent external disturbances and incoherent external disturbances is substantial. The reason is that the phase of the electric field is not considered during the calculation of incoherent external disturbances. When echoes of backward scattering fields from radar and multi-radiator hold the same polarization directions and phases, the backward scattering of the total field can be significantly enhanced. Meanwhile, the backward total scattering field will be reduced when they hold the same polarization directions and inverse phases. In conclusion, the coherent external disturbances play an important part in the analysis of the scattering properties.

The Statistical Characteristics of ARCS
In the complex EM environment, the phase randomness of the multi-radiator has a huge influence on the scattering properties, especially in the calculation of RCS. To investigate such a phenomenon, the statistical electromagnetics theory is employed. The phase of the multi-radiator is considered as a stochastic variable. By this means, the ARCS and the statistic characteristics can be analyzed. Figure 11 shows the diagram of the processing during the analysis of the statistical characteristics. Comparing the coherent external disturbances at the inverse phase with the incoherent external disturbances, it can be calculated that the ARCS of coherent external disturbance is 319.32 dBsm lower than that of the incoherent external disturbance at 0 • . From 110 • to 175 • , the curves are almost overlapped. At the other angles, a large calculation difference can be observed.
Comparing the coherent external disturbances at the phase difference of 90 • with the incoherent external disturbances, it can be observed that the ARCS of coherent external disturbance is almost overlapped with that of the incoherent external disturbance around an angle of 0 • .
As can be concluded from the second numerical example, the difference between the coherent external disturbances and incoherent external disturbances is substantial. The reason is that the phase of the electric field is not considered during the calculation of incoherent external disturbances. When echoes of backward scattering fields from radar and multi-radiator hold the same polarization directions and phases, the backward scattering of the total field can be significantly enhanced. Meanwhile, the backward total scattering field will be reduced when they hold the same polarization directions and inverse phases. In conclusion, the coherent external disturbances play an important part in the analysis of the scattering properties.

The Statistical Characteristics of ARCS
In the complex EM environment, the phase randomness of the multi-radiator has a huge influence on the scattering properties, especially in the calculation of RCS. To investigate such a phenomenon, the statistical electromagnetics theory is employed. The phase of the multi-radiator is considered as a stochastic variable. By this means, the ARCS and the statistic characteristics can be analyzed. Figure 11 shows the diagram of the processing during the analysis of the statistical characteristics. It can be observed that the processing can be divided into three parts for demonstration as follows: (1) The model, simulation conditions, confirm multi-radiator phase distribution and frequency number are set.
(2) The phase value is selected to simulate the   s rE by HFSS under certain frequency numbers.
(3) The distribution of ARCS is counted to obtain the final solution. Figure 12 shows the model of an F22 [65]. The PEC F22 has dimensions of 1.9 × 1.3 m in the xand y-directions. More details can be found in [65].  In this simulation, the phases of the multi-radiator with different probability distributions are considered. Firstly, the uniform distribution of [0, 2 ] is considered, which can be given as  It can be observed that the processing can be divided into three parts for demonstration as follows: (1) The model, simulation conditions, confirm multi-radiator phase distribution and frequency number are set.
(2) The phase value is selected to simulate the (rE) s by HFSS under certain frequency numbers.
(3) The distribution of ARCS is counted to obtain the final solution. Figure 12 shows the model of an F22 [65]. The PEC F22 has dimensions of 1.9 × 1.3 m in the x-and y-directions. More details can be found in [65]. The parameters of the incidence wave and the boundary conditions are the same as the numerical examples above. E iR and E iM are incident along the negative side of z-direction. The polarization direction of E iM and E iR are along the y-direction. To obtain the statistical characteristics of ARCS, the scattering field rE is observed along the z-direction.
Sensors 2020, 20, x FOR PEER REVIEW 12 of 20 Figure 11. The diagram of the statistic ARCS by a random phase of multi-radiators.
It can be observed that the processing can be divided into three parts for demonstration as follows: (1) The model, simulation conditions, confirm multi-radiator phase distribution and frequency number are set.
(2) The phase value is selected to simulate the   s rE by HFSS under certain frequency numbers.
(3) The distribution of ARCS is counted to obtain the final solution. Figure 12 shows the model of an F22 [65]. The PEC F22 has dimensions of 1.9 × 1.3 m in the xand y-directions. More details can be found in [65].  In this simulation, the phases of the multi-radiator with different probability distributions are considered. Firstly, the uniform distribution of [0, 2 ] is considered, which can be given as  In this simulation, the phases of the multi-radiator with different probability distributions are considered. Firstly, the uniform distribution of [0, 2π] is considered, which can be given as where p U (θ) is the probability density of the uniform distribution. To further illustrate the ARCS with different phases, multi-radiators with the uniform distribution are simulated randomly 500 times. Figure 13 shows the uniform distribution of the multi-radiator in this simulation.
Sensors 2020, 20, x FOR PEER REVIEW 13 of 20 where   U p q is the probability density of the uniform distribution. To further illustrate the ARCS with different phases, multi-radiators with the uniform distribution are simulated randomly 500 times. Figure 13 shows the uniform distribution of the multi-radiator in this simulation. Figure 13. The uniform distribution of the multi-radiator phase. Figure 14 shows the statistical characteristics of ARCS obtained by the uniform distribution multi-radiators with 500 times random simulation. The ARCS range, the outcome frequencies and the outcome rate are shown in Table 1. It can be observed from Table 1 and Figure 14 that the maximum outcome of ARCS has a number of 222 and a proportion of 44.40%, which occurred between 20 dBsm to 25 dBsm. It concluded that the outcomes of ARCS improve with the increment of ARCS value from −50 dBsm to 25 dBsm. Ranging from 15 dBsm to 30 dBsm, the ARCS outcomes are with the most proportion of 80.60%.   Figure 14 shows the statistical characteristics of ARCS obtained by the uniform distribution multi-radiators with 500 times random simulation. The ARCS range, the outcome frequencies and the outcome rate are shown in Table 1. It can be observed from Table 1 and Figure 14 that the maximum outcome of ARCS has a number of 222 and a proportion of 44.40%, which occurred between 20 dBsm to 25 dBsm. It concluded that the outcomes of ARCS improve with the increment of ARCS value from −50 dBsm to 25 dBsm. Ranging from 15 dBsm to 30 dBsm, the ARCS outcomes are with the most proportion of 80.60%.
Sensors 2020, 20, x FOR PEER REVIEW 13 of 20 where   U p q is the probability density of the uniform distribution. To further illustrate the ARCS with different phases, multi-radiators with the uniform distribution are simulated randomly 500 times. Figure 13 shows the uniform distribution of the multi-radiator in this simulation. Figure 13. The uniform distribution of the multi-radiator phase. Figure 14 shows the statistical characteristics of ARCS obtained by the uniform distribution multi-radiators with 500 times random simulation. The ARCS range, the outcome frequencies and the outcome rate are shown in Table 1. It can be observed from Table 1 and Figure 14 that the maximum outcome of ARCS has a number of 222 and a proportion of 44.40%, which occurred between 20 dBsm to 25 dBsm. It concluded that the outcomes of ARCS improve with the increment of ARCS value from −50 dBsm to 25 dBsm. Ranging from 15 dBsm to 30 dBsm, the ARCS outcomes are with the most proportion of 80.60%.   The Gaussian distribution of [0, 2π] with the average value of µ = π and standard deviation of σ = 0.05 is considered. The probability density can be given as where θ ∼ N(µ, σ) is the probability density of the Gaussian distribution. Meanwhile, ARCS, which is influenced by the multi-radiator with the Gaussian distribution, is calculated randomly 500 times. The Gaussian distribution of multi-radiator is shown in Figure 15.  is influenced by the multi-radiator with the Gaussian distribution, is calculated randomly 500 times. The Gaussian distribution of multi-radiator is shown in Figure 15.

 
can be calculated as 99.74%. The statistic characteristics of ARCS obtained by the Gaussian distribution are shown in Figure 16. As shown, the distribution of ARCS follows Gaussian distribution. Table 2 shows the ARCS range, the outcome frequencies and the outcome rate at the Gaussian distribution. As shown from Figure 16 and Table 2, the outcome rates of ARCS with the range from −20 dBsm to −10 dBsm and −10 dBsm to 0 dBsm are 33.40% and 46.60%, respectively. The outcome numbers under the multi-radiator phase with Gaussian distribution decreases with the decrement of ARCS. As is concluded from both Figure 16 and Table 2, the outcome numbers account for 80.00%, with the ARCS from −20 dBsm to 0 dBsm. It can be established that most values are concentrated near the average point π. Thus, the probability of the phase with the value of [π − 0.15, π + 0.15] can be calculated as 99.74%. The statistic characteristics of ARCS obtained by the Gaussian distribution are shown in Figure 16. As shown, the distribution of ARCS follows Gaussian distribution. Table 2 shows the ARCS range, the outcome frequencies and the outcome rate at the Gaussian distribution. As shown from Figure 16 and Table 2, the outcome rates of ARCS with the range from −20 dBsm to −10 dBsm and −10 dBsm to 0 dBsm are 33.40% and 46.60%, respectively. The outcome numbers under the multi-radiator phase with Gaussian distribution decreases with the decrement of ARCS. As is concluded from both Figure 16 and Table 2, the outcome numbers account for 80.00%, with the ARCS from −20 dBsm to 0 dBsm.

ARCS Concept Applied to the Active Cancellation
The ARCS concept can be applied to the active cancellation. Through the active cancellation, the scattering intensity will be reduced and its stealth performance will be improved at the same time.
To investigate the application of ARCS, the interaction between the wave of the antenna on the surface of the target and the echo of radar are considered. For the scattering of the target containing the antenna, the influence of the antenna structure and mode scatterings are considered.
In this section, a numerical example is introduced. The effectiveness of the proposal is validated through the experiment. As shown in Figure 17, the PEC metal cuboid structure has dimensions of 0.6 m × 0.6 m × 0.2 m. A monopole antenna with a length of 0.05 m in the z-direction is located at the center of the top surface. iR E is the incident plane wave with the maximum frequency of 5 GHz. iR E , which has the polarization direction along the z-direction, incidents from the positive ydirection. The distances between the cuboid structure and the boundaries are 0.015 m. The PML is employed to absorb the outgoing waves. ARCS is calculated through rE along the negative sides of the y-direction. In this simulation, the antenna is excited by the inverter phase excitation with -10

ARCS Concept Applied to the Active Cancellation
The ARCS concept can be applied to the active cancellation. Through the active cancellation, the scattering intensity will be reduced and its stealth performance will be improved at the same time. To investigate the application of ARCS, the interaction between the wave of the antenna on the surface of the target and the echo of radar are considered. For the scattering of the target containing the antenna, the influence of the antenna structure and mode scatterings are considered.
In this section, a numerical example is introduced. The effectiveness of the proposal is validated through the experiment. As shown in Figure 17, the PEC metal cuboid structure has dimensions of 0.6 m × 0.6 m × 0.2 m. A monopole antenna with a length of 0.05 m in the z-direction is located at the center of the top surface. E iR is the incident plane wave with the maximum frequency of 5 GHz. E iR , which has the polarization direction along the z-direction, incidents from the positive y-direction. The distances between the cuboid structure and the boundaries are 0.015 m. The PML is employed to absorb the outgoing waves. ARCS is calculated through rE along the negative sides of the y-direction. In this simulation, the antenna is excited by the inverter phase excitation with -10 dBm. The ACRS is calculated through the comparison of active cancellation. When the antenna is excited, the active cancellation can be obtained.
Sensors 2020, 20, x FOR PEER REVIEW 16 of 20 dBm. The ACRS is calculated through the comparison of active cancellation. When the antenna is excited, the active cancellation can be obtained. Figure 17. The sketch picture of active cancellation structure.
From the simulation results, it can be observed that the ARCS with the active cancellation is 2.83 dBsm lower than that without active cancellation. This indicates that the wave scattering can be decreased by employing the scattering waves which interact with the multi-radiators and the external radar with the same frequency and inverse phase.
To further investigate the effectiveness of the proposal, an experiment is introduced in the microwave dark chamber. Figure 18 shows a photograph of the experiment. The object is the same as that in the numerical example above. The metal cuboid structure is made up of aluminum. To simulate the plane wave, the compact field with 5 GHz is incident. On the surface of the metal cuboid structure, a monopole antenna with a length of 0.05 m is located at the center. The antenna is excited by the −10 dBm source with the inverse phase and the same frequency compared with the incidence wave. Table 3 shows the results obtained by the simulation and experiment with different conditions. As shown in the experiment, ARCS is 0.9 dBsm lower than that of the simulation without the active cancellation. Furthermore, the experiment is 0.13 dBsm lower than that of the simulation with the active cancellation. This indicates the multi-radiators affect the scattering properties.   From the simulation results, it can be observed that the ARCS with the active cancellation is 2.83 dBsm lower than that without active cancellation. This indicates that the wave scattering can be decreased by employing the scattering waves which interact with the multi-radiators and the external radar with the same frequency and inverse phase.
To further investigate the effectiveness of the proposal, an experiment is introduced in the microwave dark chamber. Figure 18 shows a photograph of the experiment. The object is the same as that in the numerical example above. The metal cuboid structure is made up of aluminum. To simulate the plane wave, the compact field with 5 GHz is incident. On the surface of the metal cuboid structure, a monopole antenna with a length of 0.05 m is located at the center. The antenna is excited by the −10 dBm source with the inverse phase and the same frequency compared with the incidence wave. Table 3 shows the results obtained by the simulation and experiment with different conditions. As shown in the experiment, ARCS is 0.9 dBsm lower than that of the simulation without the active cancellation. Furthermore, the experiment is 0.13 dBsm lower than that of the simulation with the active cancellation. This indicates the multi-radiators affect the scattering properties.
Sensors 2020, 20, x FOR PEER REVIEW 16 of 20 dBm. The ACRS is calculated through the comparison of active cancellation. When the antenna is excited, the active cancellation can be obtained. Figure 17. The sketch picture of active cancellation structure.
From the simulation results, it can be observed that the ARCS with the active cancellation is 2.83 dBsm lower than that without active cancellation. This indicates that the wave scattering can be decreased by employing the scattering waves which interact with the multi-radiators and the external radar with the same frequency and inverse phase.
To further investigate the effectiveness of the proposal, an experiment is introduced in the microwave dark chamber. Figure 18 shows a photograph of the experiment. The object is the same as that in the numerical example above. The metal cuboid structure is made up of aluminum. To simulate the plane wave, the compact field with 5 GHz is incident. On the surface of the metal cuboid structure, a monopole antenna with a length of 0.05 m is located at the center. The antenna is excited by the −10 dBm source with the inverse phase and the same frequency compared with the incidence wave. Table 3 shows the results obtained by the simulation and experiment with different conditions. As shown in the experiment, ARCS is 0.9 dBsm lower than that of the simulation without the active cancellation. Furthermore, the experiment is 0.13 dBsm lower than that of the simulation with the active cancellation. This indicates the multi-radiators affect the scattering properties.

Conclusions
Here, the ARCS concept and formulation are proposed to analyze the problems in complex EM environments. Through numerical examples and an experiment, the uniformity, effectiveness, characteristics and application are demonstrated and tested. The coherent and incoherent characteristics of ARCS are illustrated through the scattering properties with multi-radiators. The results indicate that the ARCS concept and formulations can be degenerated to monostatic situations. Furthermore, the stochastic phase characteristic is investigated through a F22 model. The ARCS statistical characteristics are given through different distributions, indicating the relationship between the ARCS and the different phases. Meanwhile, the application of ARCS is illustrated by employing the active cancellation experiment. All in all, the ARCS for multi-radiators can be regarded as a simplified method for the calculation of target scattering properties in the complex EM environments, especially active cancellation, EM stealth and so on.