1. A foil cloud semi-physical radio frequency simulation triple feed coefficient determination method is characterized by comprising the following steps:

carrying out azimuth direction division on the region where the foil cloud is located according to the projection to the interior of different triples to obtain a plurality of sub-regions with different azimuths;

determining the number of foil strips in each sub-area;

calculating the feed coefficients of the semi-physical radio frequency simulation triplets of the single foil strips with randomly distributed position orientations in the sub-regions;

determining a joint probability density distribution function of the semi-physical radio frequency simulation triple feed coefficients of the foil cloud in the sub-region based on the obtained feed coefficients of the semi-physical radio frequency simulation triple of the single foil;

based on the determined joint probability density distribution function, a sample of the semi-physical radio frequency simulation triple feed coefficient of the foil cloud of each subregion is given, and the feed coefficients of the same radiation unit of each subregion are superposed to obtain the actual feed coefficient of the radiation unit.

2. The method for determining the triple feed coefficient of the foil cloud in the semi-physical radio frequency simulation according to claim 1, wherein the step of dividing the area where the foil cloud is located into different triples according to the direction of the foil cloud projected into the different triples to obtain a plurality of sub-areas with different directions comprises the steps of:

the distance direction division is carried out on the area where the foil strip cloud is located: according to the range resolution of the radar, the radar is taken as a sphere center, the region where the foil strip cloud is located is divided into a layer of concentric spherical shells, and the thickness of each layer of spherical shell is equal to the range resolution of the radar;

and aiming at each layer of spherical shell area, cutting the layer of spherical shell area by utilizing a solid angle pointing to each group of triples by using a radar, so as to mark out sub-areas with different directions on each layer of spherical shell.

3. The method for determining the feed coefficients of the triplets of the semi-physical radio frequency simulation of the foil cloud according to claim 1, wherein the feed coefficients of the triplets of the semi-physical radio frequency simulation of the randomly distributed single foil are expressed as:

wherein the content of the first and second substances,the feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the single foil strips which are randomly distributed are respectively 1,2 and 3; a is the opening angle of the triad; x is the number of_p、y_pNormalized rectangular coordinates of the p-th radiating element of the triplet; and x and y are normalized rectangular coordinates of the single foil strip.

4. The method for determining the triple feed coefficients of the foil cloud according to claim 1, wherein determining the joint probability density distribution function of the triple feed coefficients of the foil cloud in the sub-region based on the obtained feed coefficients of the single foil in the triple feed coefficients of the foil cloud comprises:

determining the semi-physical radio frequency simulation triple feed coefficient C of the foil cloud in the sub-region based on the obtained feed coefficient of the semi-physical radio frequency simulation triple of the single foil₁、C₂、C₃Wherein, C₁、C₂、C₃The feed coefficients of the mth radiating element in the semi-physical radio frequency simulation triple of the foil cloud in the sub-region are respectively, wherein m is 1,2 and 3;

note C₁＝u₁+jv₁，C₂＝u₂+jv₂，C₃＝u₃+jv₃Wherein j is an imaginary unit, u₁、v₁Are respectively C₁Real and imaginary parts of u₂、v₂Are respectively C₂Real and imaginary parts of u₃、v₃Are respectively C₃The real and imaginary parts of (c);

determining u₁,u₂,u₃,v₁,v₂,v₃Covariance matrix of

According to the obtained covariance matrixDetermining u₁,u₂,u₃,v₁,v₂,v₃Is a joint probability density function

5. Semi-physical radio frequency simulation triple feed coefficient determination of a foil strip cloud according to claim 4The method is characterized in that the semi-physical radio frequency simulation triple feed coefficient C of the foil cloud in the sub-region₁、C₂、C₃Expressed as:

wherein, C₁、C₂、C₃The feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the foil cloud in the sub-region are respectively, wherein p is 1,2 and 3; n is the number of foil strips in the triad; sigma_iIs a complex random variable whose phase satisfies a uniform distribution.

6. The method of determining triple feed coefficients for semi-physical radio frequency simulation of a foil cloud according to claim 5, wherein the complex random variable σ is a complex random variable_iExpressed as:

σ_i＝γ_iexp(jα)

wherein j is an imaginary unit, γ_iAnd alpha is respectively sigma_iThe amplitude and phase of (d); gamma ray_iSatisfy rayleigh distribution and alpha satisfies uniform distribution.

7. The method for determining triple feed coefficients of a foil strip cloud in hardware-in-the-loop radio frequency simulation according to claim 5, wherein the method comprises determining the triple feed coefficients of the foil strip cloud in hardware-in-loop radio frequency simulation according to a covariance matrixExpressed as:

wherein λ is the operating wavelength, and N is the number of foil strips in the triplet.

8. The method for determining triple feed coefficients of a foil cloud in a semi-physical radio frequency simulation according to claim 5, wherein W is ═ u₁,u₂,u₃,v₁,v₂,v₃]Combining probability density functionsExpressed as:

9. the method for determining the triplets of feeding coefficients of the foil cloud in the hardware-in-the-loop simulation according to claim 5, wherein the step of giving a sample of the triplets of feeding coefficients of the foil cloud in each sub-region based on the determined joint probability density distribution function, and the step of superposing the feeding coefficients of the same radiation unit in each sub-region to obtain the actual feeding coefficient of the radiation unit comprises:

giving a conforming covariance matrixAnd joint probability density functionIs a random variable u₁,u₂,u₃,v₁,v₂,v₃So as to give a sample of the feed coefficient of the semi-physical radio frequency simulation triple of the foil cloud of each sub-region, and the feed coefficients of the same radiating element of the semi-physical radio frequency simulation triple of the foil cloud of each sub-region are superposed to obtainThe actual feeding coefficient to the radiating element.

10. The method for determining the triple feed coefficient of the foil cloud according to claim 9, wherein for the radiating element 1, the feed coefficients of the radiating elements 1 of the triple of the foil cloud in each sub-region are superimposed to obtain the actual feed coefficient of the radiating element 1

Wherein A is a coefficient which is irrelevant to the serial number of the radiation unit and is relevant to the distance, m represents the serial number of the foil strip cloud subarea to which the radiation unit 1 belongs, j is an imaginary unit,u of the radiation unit 1 corresponding to the mth foil strip cloud sub-area respectively₁、v₁The corresponding samples.

Background

In the complex electronic environment of modern battlefields, foil strip interference plays an important role as an effective passive interference mode. The method is widely applied to the scenes of penetration of airplane missiles, self-defense of ships and warships and the like by virtue of the outstanding characteristics of simple manufacture, low price, large interference range and the like. In order to evaluate the foil strip interference effect, relevant experiments can be carried out in an outfield test environment, which requires a lot of expenditure. In order to effectively evaluate the performance of foil strip interference and simultaneously carry out experiments in a saving manner, the echo signals for implementing the foil strip interference can be modeled and simulated through semi-physical radio frequency simulation. Therefore, the reappearance of the foil strip cloud echo signal space-time characteristics in the semi-physical radio frequency simulation has an important reference value for researching the foil strip interference resisting technology.

Semi-physical radio frequency simulation is a common test method in the research and development process of radar seeker. In a microwave anechoic chamber, an antenna array is established, on which a plurality of radiating elements are distributed. The antenna array faces a turntable, and the seeker to be tested is placed on the turntable. Every three adjacent radiating elements form a triad, and point targets positioned in the triad triangles can be simulated. This Triple (TUA) structure has been adopted by semi-physical radio frequency simulation laboratories in several countries of the world. The three elements of a triplet typically form a regular triangle. Electromagnetic waves radiated by the three radiation units are superposed in the air to form an energy flow direction which is the same as a certain point target echo in a real environment space. By adjusting the feeding amplitude of the three radiating elements of the triad, the synthesized electromagnetic energy flow can be along different directions, so that the purpose of simulating different point target directions is achieved. On the basis, the simulation of the moving point target is realized.

The difficulty for semi-physical radio frequency simulation of the foil cloud is that the number of foil strips of the foil cloud is large. The number of foil strips can reach millions and tens of millions. In the semi-physical radio frequency simulation, if a conventional method is adopted, the feed coefficient corresponding to the position of each foil strip needs to be calculated, and then the feed coefficients corresponding to the foil strips are subjected to Radar Cross Section (RCS) weighted superposition to obtain the feed coefficient of each radiating element on the antenna array surface. In the process, the number of the foil strips is large, so that the calculated amount of the feed coefficient is large, and the real-time performance of the semi-physical radio frequency simulation is influenced.

Therefore, the disadvantages of the prior art are mainly: the calculated amount is huge, and the simulation instantaneity is poor.

Disclosure of Invention

The embodiment of the invention provides a method for determining a triple feed coefficient of semi-physical radio frequency simulation of a foil cloud, which can greatly reduce the calculation time of the feed coefficient of the semi-physical radio frequency simulation of the foil cloud consisting of huge foil strips. The technical scheme is as follows:

in one aspect, a method for determining a foil cloud semi-physical radio frequency simulation triple feed coefficient is provided, and the method is applied to electronic equipment and includes:

carrying out azimuth direction division on the region where the foil cloud is located according to the projection to the interior of different triples to obtain a plurality of sub-regions with different azimuths;

determining the number of foil strips in each sub-area;

calculating the feed coefficients of the semi-physical radio frequency simulation triplets of the single foil strips with randomly distributed position orientations in the sub-regions;

determining a joint probability density distribution function of the semi-physical radio frequency simulation triple feed coefficients of the foil cloud in the sub-region based on the obtained feed coefficients of the semi-physical radio frequency simulation triple of the single foil;

based on the determined joint probability density distribution function, a sample of the semi-physical radio frequency simulation triple feed coefficient of the foil cloud of each subregion is given, and the feed coefficients of the same radiation unit of each subregion are superposed to obtain the actual feed coefficient of the radiation unit.

Further, the dividing of the foil cloud region in the azimuth direction according to the projection into different triples to obtain a plurality of sub-regions with different azimuths includes:

the distance direction division is carried out on the area where the foil strip cloud is located: according to the range resolution of the radar, the radar is taken as a sphere center, the region where the foil strip cloud is located is divided into a layer of concentric spherical shells, and the thickness of each layer of spherical shell is equal to the range resolution of the radar;

and aiming at each layer of spherical shell area, cutting the layer of spherical shell area by utilizing a solid angle pointing to each group of triples by using a radar, so as to mark out sub-areas with different directions on each layer of spherical shell.

Further, the feed coefficient of the semi-physical radio frequency simulation triad of the randomly distributed single foil strips is expressed as:

wherein the content of the first and second substances,the feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the single foil strips which are randomly distributed are respectively 1,2 and 3; a is the opening angle of the triad; x is the number of_p、y_pIs the p-th of the tripletNormalized rectangular coordinates of the radiating elements; and x and y are normalized rectangular coordinates of the single foil strip.

Further, the determining a joint probability density distribution function of the semi-physical radio frequency simulation triple feed coefficients of the foil cloud in the sub-region based on the obtained feed coefficients of the semi-physical radio frequency simulation triple of the single foil includes:

determining the semi-physical radio frequency simulation triple feed coefficient C of the foil cloud in the sub-region based on the obtained feed coefficient of the semi-physical radio frequency simulation triple of the single foil₁、C₂、C₃Wherein, C₁、C₂、C₃The feed coefficients of the mth radiating element in the semi-physical radio frequency simulation triple of the foil cloud in the sub-region are respectively, wherein m is 1,2 and 3;

note C₁＝u₁+jv₁，C₂＝u₂+jv₂，C₃＝u₃+jv₃Wherein j is an imaginary unit, u₁、v₁Are respectively C₁Real and imaginary parts of u₂、v₂Are respectively C₂Real and imaginary parts of u₃、v₃Are respectively C₃The real and imaginary parts of (c);

determining u₁,u₂,u₃,v₁,v₂,v₃Covariance matrix of

According to the obtained covariance matrixDetermining u₁,u₂,u₃,v₁,v₂,v₃Is a joint probability density function

Further, semi-physical radio frequency simulation triple feed coefficient C of foil cloud in sub-region₁、C₂、C₃To representComprises the following steps:

wherein, C₁、C₂、C₃The feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the foil cloud in the sub-region are respectively, wherein p is 1,2 and 3; n is the number of foil strips in the triad; sigma_iIs a complex random variable whose phase satisfies a uniform distribution.

Further, a complex random variable σ_iExpressed as:

σ_i＝γ_i exp(jα)

wherein j is an imaginary unit, γ_iAnd alpha is respectively sigma_iThe amplitude and phase of (d); gamma ray_iSatisfy rayleigh distribution and alpha satisfies uniform distribution.

Further, the covariance matrixExpressed as:

wherein λ is the operating wavelength, and N is the number of foil strips in the triplet.

Further, let W ═ u₁,u₂,u₃,v₁,v₂,v₃]Combining probability density functionsExpressed as:

further, the step of giving a sample of the semi-physical radio frequency simulation triple feed coefficient of the foil cloud of each sub-region based on the determined joint probability density distribution function, and the step of superposing the feed coefficients of the same radiation unit of each sub-region to obtain the actual feed coefficient of the radiation unit includes:

giving a conforming covariance matrixAnd joint probability density functionIs a random variable u₁,u₂,u₃,v₁,v₂,v₃The method comprises the steps of obtaining a sample of a feed coefficient of a semi-physical radio frequency simulation triple of the foil cloud of each sub-region, and superposing the feed coefficients of the same radiating element of the semi-physical radio frequency simulation triple of the foil cloud of each sub-region to obtain an actual feed coefficient of the radiating element.

Further, aiming at the radiation unit 1, the feed coefficients of the radiation units 1 of the semi-physical radio frequency simulation triple of the foil cloud of each sub-area are superposed to obtain the actual feed coefficient of the radiation unit 1

Wherein A is a coefficient which is irrelevant to the serial number of the radiation unit and is relevant to the distance, m represents the serial number of the foil strip cloud subarea to which the radiation unit 1 belongs, j is an imaginary unit,u of the radiation unit 1 corresponding to the mth foil strip cloud sub-area respectively₁、v₁The corresponding samples.

In one aspect, an electronic device is provided, and the electronic device includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the method for determining a triple feed coefficient in semiphysical radio frequency simulation of a foil cloud.

In one aspect, a computer-readable storage medium is provided, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the method for determining triple feed coefficients in semi-physical radio frequency simulation of a foil strip cloud.

The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:

in the embodiment of the invention, modeling is carried out on the basis of the random distribution of the foil positions of the foil clouds, the relevant statistical characteristics of the foil clouds are reserved, and the feed coefficients of all radiation units on the whole antenna array surface are calculated by a statistical method, so that more accurate and rapid foil interference simulation can be carried out in semi-physical radio frequency simulation, and a more rapid and effective method is provided for better researching the performance of an electronic system in a complex electromagnetic environment. Compared with the conventional method for calculating the foil cloud one by one, the method can greatly reduce the calculation time of the feed coefficient of the semi-physical radio frequency simulation of the foil cloud consisting of huge foil strips.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flowchart of a method for determining a triple feed coefficient of semi-physical radio frequency simulation of a foil cloud according to an embodiment of the present invention;

fig. 2 is a schematic diagram of an XYZ rectangular coordinate system provided by an embodiment of the present invention;

fig. 3 is a schematic diagram of numbers of radiation units and numbers of foil strip sub-regions according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

As shown in fig. 1, an embodiment of the present invention provides a method for determining a triple feed coefficient of a foil cloud in a semi-physical radio frequency simulation, where the method may be implemented by an electronic device, and the electronic device may be a terminal or a server, and the method includes:

s101, carrying out azimuth division on the region where the foil cloud is located according to projection to the interior of different triples to obtain a plurality of sub-regions with different azimuths;

s102, determining the number of foil strips in each sub-area;

s103, calculating feed coefficients of semi-physical radio frequency simulation triples of single foil strips with randomly distributed position orientations in the sub-regions;

s104, determining a joint probability density distribution function of the semi-physical radio frequency simulation triple feed coefficients of the foil cloud in the sub-region based on the obtained feed coefficients of the semi-physical radio frequency simulation triple of the single foil;

and S105, based on the determined joint probability density distribution function, giving a sample of the semi-physical radio frequency simulation triple feed coefficient of the foil cloud of each sub-region, and superposing the feed coefficients of the same radiation unit of each sub-region to obtain the actual feed coefficient of the radiation unit.

According to the method for determining the triple feed coefficients of the foil cloud semi-physical radio frequency simulation, modeling is performed on the basis of random distribution of foil positions of the foil cloud, relevant statistical characteristics of the foil cloud are reserved, and the feed coefficients of all radiating units on the whole antenna array surface are calculated by a statistical method, so that interference simulation can be performed more accurately and rapidly in the semi-physical radio frequency simulation, and a faster and more effective method is provided for better researching the performance of an electronic system in a complex electromagnetic environment. Compared with the conventional method for calculating the foil cloud one by one, the method can greatly reduce the calculation time of the feed coefficient of the semi-physical radio frequency simulation of the foil cloud consisting of huge foil strips.

In this embodiment, modeling is performed based on random distribution of foil positions of the foil cloud, the established model is represented by equations (24), (25), and (26) below, statistical characteristics are covariance matrices given by equation (24), and a statistical method is represented by equation (24).

In a specific implementation manner of the method for determining the triple feed coefficient of the foil cloud based on the semi-physical radio frequency simulation, further, the step of dividing the region where the foil cloud is located into different triples according to the direction of the projection of the region into the different triples to obtain a plurality of sub-regions (S101) with different directions includes:

the distance direction division is carried out on the area where the foil strip cloud is located: according to the range resolution of the radar, the radar is taken as a sphere center, the region where the foil strip cloud is located is divided into a layer of concentric spherical shells, and the thickness of each layer of spherical shell is equal to the range resolution of the radar;

and aiming at each layer of spherical shell area, cutting the layer of spherical shell area by utilizing a solid angle pointing to each group of triples by using a radar, so as to mark out sub-areas with different directions on each layer of spherical shell.

In this embodiment, the number of foil strips in each sub-region is determined according to the partitioning result of S101, and each sub-region corresponds to one triple.

In this embodiment, an XYZ rectangular coordinate system as shown in fig. 2 is established, and the coordinate of the p-th radiation element of the triplet in the XYZ rectangular coordinate system is (X)_p,Y_p,Z_p) And p is 1,2, 3. The coordinates of the target in the XYZ rectangular coordinate system are (X, Y, Z). Normalizing the coordinate of the p-th radiation unit to the distance from the radar to obtain the normalized rectangular coordinate (x) of the p-th radiation unit_p,y_p,z_p) Comprises the following steps:

wherein, in the formulas (1) and (2)

The normalized rectangular coordinates (x, y, z) of the target are also obtained as

The gravity formula from the triple simulation can be derived:

x＝C₁x₁+C₂x₂+C₃x₃ (6)

y＝C₁y₁+C₂y₂+C₃y₃ (7)

C₁+C₂+C₃＝1 (8)

wherein, (x, y) are uniformly and randomly distributed in the triad; c₁、C₂、C₃The feeding coefficients of the three radiating elements are respectively.

In this embodiment, if the single foil strips are uniformly and randomly distributed in the triple, the single foil strips are distributedAs a target, according to the formula of gravity center, the feed coefficient of the semi-physical radio frequency simulation triple of the single foil strip randomly distributed in S103 can be obtainedExpression (c):

wherein the content of the first and second substances,the feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the single foil strips which are randomly distributed are respectively 1,2 and 3; a is the opening angle of the triad; x is the number of_p、y_pNormalized rectangular coordinates of the p-th radiating element of the triplet; and x and y are normalized rectangular coordinates of the single foil strip.

In a specific implementation manner of the foregoing method for determining a triple feed coefficient of a foil cloud in a semi-physical radio frequency simulation, the determining a joint probability density distribution function (S104) of the triple feed coefficient of the foil cloud in a sub-region based on the obtained feed coefficient of the single foil in the semi-physical radio frequency simulation triple includes:

a1, determining a semi-physical radio frequency simulation triple feed coefficient C of a foil cloud in a sub-region based on the obtained feed coefficient of the semi-physical radio frequency simulation triple of a single foil₁、C₂、C₃Wherein, C₁、C₂、C₃Respectively of the m-th radiation unit in the semi-physical radio frequency simulation triple of the foil cloud in the sub-areaA feed coefficient, m is 1,2, 3;

in this embodiment, for any radiating element in one triplet, the feeding coefficient of the radiating element should be the superposition of the feeding coefficients of the semi-physical radio frequency simulation triplets of all the foil strips in the triplet.

In this embodiment, based on S103, the feed coefficient of the ith foil strip may be represented as:

according to the formulas (12) - (14), the semi-physical radio frequency simulation triple feed coefficient C of the foil cloud in the sub-area can be obtained₁、C₂、C₃Comprises the following steps:

wherein, C₁、C₂、C₃The feed coefficients of the p-th radiation unit in the semi-physical radio frequency simulation triple of the foil cloud in the sub-region are respectively, wherein p is 1,2 and 3; n is the number of foil strips in the triad; sigma_iIs a complex random variable whose phase satisfies a uniform distribution.

According to the centre poleDefinition principle, C₁、C₂、C₃Satisfying a complex gaussian distribution.

In this embodiment, the complex random variable σ_iExpressed as:

σ_i＝γ_i exp(jα)

wherein j is an imaginary unit, γ_iAnd alpha is respectively sigma_iThe amplitude and phase of (d); gamma ray_iSatisfy rayleigh distribution and alpha satisfies uniform distribution.

A2, note C₁＝u₁+jv₁，C₂＝u₂+jv₂，C₃＝u₃+jv₃Wherein j is an imaginary unit, u₁、v₁Are respectively C₁Real and imaginary parts of u₂、v₂Are respectively C₂Real and imaginary parts of u₃、v₃Are respectively C₃The real and imaginary parts of (c);

a3, determining u₁,u₂,u₃,v₁,v₂,v₃Covariance matrix of

In this example, u₁u₂、u₁u₁Mean value of E (u)₁u₂)、E(u₁u₁) Respectively as follows:

wherein λ is the operating wavelength, and N is the number of foil strips in the triplet.

According to formulae (18) to (19), u is obtained₁And u₂Correlation coefficient ofComprises the following steps:

in the same way, the following can be obtained:

in this example, u₁v₂Mean value of E (u)₁v₂) Comprises the following steps:

in the same way, the following can be obtained:

E(u₁v₂)＝E(u₂v₃)＝E(u₃v₁)＝0 (23)

then u is₁,u₂,u₃,v₁,v₂,v₃Covariance matrix ofIs composed of

A4, obtaining the covariance matrixDetermining u₁,u₂,u₃,v₁,v₂,v₃Is a joint probability density function

In this example, let W ═ u₁,u₂,u₃,v₁,v₂,v₃]Then u is₁,u₂,u₃,v₁,v₂,v₃The joint probability density function of (a) is:

in a specific implementation manner of the foregoing method for determining a triple feed coefficient of semi-physical radio frequency simulation of a foil cloud, further, the obtaining a sample of the triple feed coefficient of semi-physical radio frequency simulation of the foil cloud of each sub-region based on the determined joint probability density distribution function, and overlapping the feed coefficients of the same radiation unit of each sub-region to obtain an actual feed coefficient of the radiation unit includes:

giving a conforming covariance matrixAnd joint probability density functionIs a random variable u₁,u₂,u₃,v₁,v₂,v₃The method comprises the steps of obtaining a sample of a feed coefficient of a semi-physical radio frequency simulation triple of the foil cloud of each sub-region, and superposing the feed coefficients of the same radiating element of the semi-physical radio frequency simulation triple of the foil cloud of each sub-region to obtain an actual feed coefficient of the radiating element.

In this embodiment, u is₁,u₂,u₃,v₁,v₂,v₃To satisfy the joint gaussian distribution of the covariance matrix, one sample of it can be generated: u shape₁,U₂,U₃,V₁,V₂,V₃. Since each radiating element may belong to six different triads, i.e. each radiating element needs to perform the calculation of the feeding coefficient for the foil cloud distributed in the six different triad areas. The six different foil strip cloud sub-regions are numbered as shown in fig. 3. Taking the radiation unit 1 as an example, the number of the foil strip cloud subareas to which the radiation unit belongs is 1To 6, the number of foil strips in each sub-area around the radiating element 1 is marked as N_mM is more than or equal to 1 and less than or equal to 6; one sample of the feed coefficient of the radiation element corresponding to each sub-region isWherein j, k are numbers of six radiation elements which can form a triad with the radiation element 1, and then the feed coefficient of the radiation element 1Can be expressed as:

where a is a coefficient related to distance regardless of the number of the radiating elements. When foil cloud simulation is performed, the feed coefficients of the radiating element 1 and the feed coefficients of other radiating elements are given simultaneously by the same method, for example, the feed coefficient of the radiating element 3 in fig. 3 is obtained by using the same random number sample. According to the scheme, the feed coefficients of all the radiation units on the whole antenna array surface can be obtained, and therefore semi-physical radio frequency simulation of the whole foil cloud is achieved.

Fig. 4 is a schematic structural diagram of an electronic device 600 according to an embodiment of the present invention, where the electronic device 600 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 601 and one or more memories 602, where the memory 602 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 601 to implement the method for determining a semi-physical radio frequency simulation triple feed coefficient of a foil cloud.

In an exemplary embodiment, a computer-readable storage medium, such as a memory, is also provided that includes instructions executable by a processor in a terminal to perform the method for determining a triple feed coefficient for semi-physical radio frequency simulation of a foil strip cloud described above. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.