Calculation method and device for electromagnetic scattering characteristics of particle cloud cluster

Abstract

The invention provides a method and a device for calculating electromagnetic scattering characteristics of a particle cloud cluster. The method comprises the steps of obtaining a simulation result of a particle cloud cluster; wherein the simulation result comprises the distribution type and the distribution volume of the particle cloud cluster and the morphological parameter and the motion parameter of each particle in the cloud cluster; calculating a simulation result based on a cloud cluster spatial distribution model to obtain a position parameter of each particle in the particle cloud cluster and a spatial distribution characteristic of the particle cloud cluster; calculating the position distribution of each particle in the particle cloud cluster at any moment according to the position parameter and the motion parameter of each particle; according to the morphological parameters of each particle, selecting a corresponding calculation method to calculate electromagnetic scattering of each particle to obtain a scattering matrix of each particle; and calculating the electromagnetic scattering characteristics of the particle cloud cluster according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud cluster and the position distribution of each particle. According to the scheme, the generation efficiency of the electromagnetic property of the particle cloud cluster in the dynamic diffusion process can be improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of electromagnetic scattering characteristics simulation, and in particular to a method and device for calculating the electromagnetic scattering characteristics of a particle cloud. Background Art

[0002] At present, there are relatively few studies on the electromagnetic scattering characteristics of particle clouds. After the aerial targets disintegrate or break, some of the targets often form clouds composed of fragments of different sizes and shapes and a large number of particles of different materials. Through the calculation and analysis of particle clouds, we can obtain useful information about the characteristics of particle scattering echoes in collisions. These calculation results not only help to understand the scattering characteristics of explosion clouds, but also provide important clues about parameters such as echo intensity, scattering direction and frequency response.

[0003] Since the shape and distribution of particle clouds are constantly changing and difficult to describe specifically, and there are many types and huge numbers of particles in the cloud, traditional monomer modeling methods cannot achieve fast and accurate simulation of the scattering characteristics of particle clouds.

[0004] Therefore, there is an urgent need to provide a method and device for calculating the electromagnetic scattering characteristics of particle clouds. Summary of the invention

[0005] In order to solve the problem that the traditional single-body modeling method cannot achieve fast and accurate simulation of the scattering characteristics of particle clouds, the embodiments of the present invention provide a method and device for calculating the electromagnetic scattering characteristics of particle clouds.

[0006] In a first aspect, an embodiment of the present invention provides a method for calculating electromagnetic scattering characteristics of a particle cloud, the method comprising:

[0007] Acquire the simulation result of the particle cloud; wherein the simulation result includes the distribution type and distribution volume of the particle cloud and the morphological parameters and motion parameters of each particle in the cloud;

[0008] The simulation results are calculated based on a cloud cluster spatial distribution model to obtain position parameters of each particle in the particle cloud cluster and spatial distribution characteristics of the particle cloud cluster;

[0009] The position distribution of each particle in the particle cloud at any time is calculated according to the position parameter and motion parameter of each particle;

[0010] According to the morphological parameters of each particle, a corresponding calculation method is selected to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle;

[0011] The electromagnetic scattering characteristics of the particle cloud are calculated according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

[0012] In a second aspect, an embodiment of the present invention further provides a device for calculating electromagnetic scattering characteristics of a particle cloud, the device comprising:

[0013] An acquisition unit, used to acquire a simulation result of a particle cloud; wherein the simulation result includes a distribution type and a distribution volume of the particle cloud, and a morphological parameter and a motion parameter of each particle in the cloud;

[0014] A first calculation unit is used to calculate the simulation result based on the cloud space distribution model to obtain the position parameter of each particle in the particle cloud and the spatial distribution characteristics of the particle cloud;

[0015] A second calculation unit is used to calculate the position distribution of each particle in the particle cloud at any time according to the position parameter and motion parameter of each particle;

[0016] A third calculation unit is used to select a corresponding calculation method according to the morphological parameters of each particle to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle;

[0017] The fourth calculation unit is used to calculate the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

[0018] In a third aspect, an embodiment of the present invention further provides a computing device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0019] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the method described in any embodiment of this specification.

[0020] On the other hand, an embodiment of the present application further provides a computer program product, which includes a computer program. A processor of a computer device reads the computer program from a computer-readable storage medium, and the processor executes the computer program, so that the computer device executes any of the methods described in the above embodiments.

[0021] The embodiment of the present invention provides a method and device for calculating the electromagnetic scattering characteristics of a particle cloud. First, the distribution type and distribution volume of the particle cloud are simulated and calculated using a constructed cloud spatial distribution model to obtain the spatial distribution characteristics of the particle cloud and the position parameters of each particle. Then, based on the position parameters and motion parameters of each particle, the position diffusion distribution of each particle at any time can be inferred. On this basis, a corresponding method is selected based on the morphological parameters of each particle to calculate the scattering matrix of each particle. Then, in combination with the spatial distribution characteristics of the particle cloud, different methods are used to calculate the regions in the particle cloud under different density states. Finally, the electromagnetic scattering characteristics of the entire particle cloud can be obtained. In this way, the generation efficiency of the electromagnetic characteristics of the particle cloud under the dynamic diffusion process can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a flow chart of a method for calculating electromagnetic scattering characteristics of a particle cloud provided by one embodiment of the present invention;

[0024] Figure 2 It is a structural schematic diagram of a cloud cluster spatial distribution model provided by an embodiment of the present invention;

[0025] Figure 3 It is a schematic diagram of a model of a particle cloud after diffusion at different times provided by an embodiment of the present invention;

[0026] Figure 4 It is a graph comparing the shape type of a particle provided by an embodiment of the present invention and the calculation results using the method in the embodiment of the present invention and the traditional moment method;

[0027] Figure 5 is a diagram comparing the shape type of another particle provided by an embodiment of the present invention and the calculation results using the method in the embodiment of the present invention and the traditional moment method;

[0028] Figure 6 This is a comparison diagram of electromagnetic scattering characteristics simulation results of a particle cloud composed of 1200 5 mm metal spherical particles provided by an embodiment of the present invention, with a radius of 1.82 m, and a vector superposition method at various angles under 10 GHz and VV polarization and Feko simulation results;

[0029] Figure 7is a hardware architecture diagram of a computing device provided by an embodiment of the present invention;

[0030] Figure 8 It is a structural diagram of a device for calculating the electromagnetic scattering characteristics of a particle cloud provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] The specific implementation of the above concept is described below.

[0033] Please refer to Figure 1 The embodiment of the present invention provides a method for calculating the electromagnetic scattering characteristics of a particle cloud, the method comprising:

[0034] Step 100, obtaining a simulation result of a particle cloud; wherein the simulation result includes a distribution type and a distribution volume of the particle cloud, and a morphological parameter and a motion parameter of each particle in the cloud;

[0035] Step 102, calculating the simulation results based on the cloud space distribution model to obtain the position parameters of each particle in the particle cloud and the spatial distribution characteristics of the particle cloud; wherein the spatial distribution characteristics of the particle cloud include uniform distribution, dense inside and sparse outside, and dense outside and sparse inside;

[0036] Step 104, calculating the position distribution of each particle in the particle cloud at any time according to the position parameter and motion parameter of each particle;

[0037] Step 106, selecting a corresponding calculation method according to the morphological parameters of each particle to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle;

[0038] Step 108, calculating the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

[0039] In the embodiment of the present invention, the distribution type and distribution volume of the particle cloud are simulated and calculated using the constructed cloud space distribution model to obtain the spatial distribution characteristics of the particle cloud and the position parameters of each particle. Then, based on the position parameters and motion parameters of each particle, the position diffusion distribution of each particle at any time can be inferred; and on this basis, the scattering matrix of each particle is calculated by selecting a corresponding method based on the morphological parameters of each particle, and then further combined with the spatial distribution characteristics of the particle cloud, different methods are used to calculate the regions in the particle cloud with different density states, and finally the electromagnetic scattering characteristics of the entire particle cloud can be obtained. In this way, the generation efficiency of the electromagnetic characteristics of the particle cloud under the dynamic diffusion process can be improved.

[0040] For step 100 and step 102:

[0041] The calculation method in the embodiment of the present invention is established on the basis of the existing simulation method, and needs to take the simulation result of the particle cloud as input. By constructing a relatively typical cloud spatial distribution model, the distribution type and distribution volume of the simulated particle cloud are input into the spatial distribution model, and the position parameters of each particle can be obtained by simulation calculation, thereby determining the spatial distribution characteristics of the particle cloud.

[0042] In some embodiments, the cloud cluster spatial distribution model includes a spherical uniform distribution model and a spherical non-uniform distribution model;

[0043] Assuming that the center of the particle cloud is the coordinate origin, the position of the center of mass of any particle in the particle cloud can be expressed by (r, φ, θ), where r represents the distance from the center of mass of the particle to the coordinate origin, φ is the azimuth angle, and θ is the pitch angle.

[0044] For spherical uniform distribution, r and φ are uniform random variables, and θ is spherical uniform distribution; therefore, in the spherical uniform distribution model, the position parameters of each particle are calculated by the following formula:

[0045]

[0046] Where p(r,φ,θ) is the probability of the particle mass center being at any point in space, R is the radius of the spherical particle cloud, r is the distance from the particle mass center to the coordinate origin, θ is the particle pitch angle, and φ is the particle azimuth angle;

[0047] For spherical non-uniform distribution, r is normal distribution, φ is uniform distribution, and θ is spherical uniform distribution; therefore, in the spherical non-uniform distribution model, the position parameters of each particle are calculated by the following formula:

[0048]

[0049] In the formula, u is the mean of the normal distribution, D 2 is the variance of the normal distribution; when u=0, the distribution of the particle cloud is dense in the middle and sparse outside; when u≠0, the distribution of the particle cloud is sparse in the middle and dense outside.

[0050] In the embodiment of the present invention, a particle cloud composed of 50,000 particles is used to carry out a position distribution study using a cloud space distribution model. The radius of the particle cloud is R = 1.5 m. Figure 2 It can be seen that the particle cloud is spherical and non-uniformly distributed (dense inside and sparse outside).

[0051] Regarding step 104:

[0052] In some embodiments, the morphological parameters of each particle include the shape type and volume size of the particle, and the motion parameters of each particle include the initial velocity of particle diffusion.

[0053] In the embodiment of the present invention, the spatial distribution of the particle cloud and the initial diffusion velocity of each particle are known, and the initial position of each particle is assumed, so the position distribution of each particle in the particle cloud at any time can be deduced. In this embodiment, a diffusion study is conducted based on a single spherical particle cloud composed of 50,000 1mm metal particles. Assuming that the diffusion velocity of each particle is 200m / s, Figure 3 The position distribution of the particle cloud after diffusion at different times can be seen in the figure.

[0054] Regarding step 106:

[0055] In some embodiments, the shape type of the particle includes spherical, ellipsoidal, cylindrical or needle-shaped; wherein, when the shape type of the particle is spherical and ellipsoidal, the generalized Rayleigh-Gans approximation method is used to calculate the scattering matrix of each particle, when the shape type of the particle is cylindrical, the polarization basis transformation combined with the Euler axis transformation method is used to calculate the scattering matrix of each particle, and when the shape type of the particle is needle-shaped, the half-wavelength dipole method is used to calculate the scattering matrix of each particle.

[0056] Considering that there are many types of disintegrated particles of different volumes and shapes in the particle cloud, in order to achieve accurate and rapid calculation of particle scattering in the particle cloud, in the embodiment of the present invention, different scattering calculation methods are used for particles of different shapes. Specifically, for spherical and ellipsoidal particles, the generalized Rayleigh-Gans (GRG) approximation method is used, which requires that the minimum size of the particle is much smaller than the wavelength, so that the particle scattering matrix can be quickly calculated; for cylindrical particles, the scattering matrix of vertically oriented cylindrical particles is derived by polarization basis transformation and Euler angle conversion, so that the scattering matrix of finite-length cylinders of arbitrary orientation can be quickly calculated; for needle-shaped metal particles, the particle size is close to half of the wavelength, and the electric dipole approximation method is used to achieve the rapid calculation of the scattering matrix of needle-shaped particles.

[0057] like Figure 4 and 5 As shown in FIG. 1 , the scattering matrices of metal spherical particles (radius 1 mm) and metal ellipsoidal particles (semi-major and semi-minor axis radii 1 mm, height 2 mm) were calculated in different ways under the same conditions in the embodiment of the present invention. Figure 4 and Figure 5 It can be seen that under the frequency of 3 GHz and VV polarization, the scattering results of metal spherical particles at various angles calculated by the Rayleigh-Gans method in this embodiment are basically consistent with the results of the moment method. This shows that the calculation method used in this embodiment has both good accuracy and high calculation efficiency.

[0058] Regarding step 108:

[0059] In some embodiments, step 108 includes:

[0060] Based on the position distribution of each particle, the distance between two adjacent particles is calculated respectively;

[0061] Based on the distance between every two adjacent particles, the average distance between particles in the particle cloud is obtained;

[0062] According to the average distance between particles, the density of particles is judged, and the particle area in the particle cloud is divided; wherein the particle area includes dense distribution and / or sparse distribution;

[0063] According to the scattering matrix of each particle in each particle region, a corresponding method is selected to calculate the scattering matrix of each particle region, and the scattering characteristics of each particle region in the particle cloud are obtained;

[0064] The scattering characteristics of each particle region are superimposed to obtain the scattering characteristics of the particle cloud.

[0065] It can be seen from step 102 that there are three types of spatial distribution of particle clouds: uniform distribution, dense inside and sparse outside, and dense outside and sparse inside. When the particle distribution in the particle cloud is relatively dense, there will be scattering coupling between the particles. If the scattering matrix of each particle is directly superimposed, the scattering characteristics of the particle cloud will be less accurate. Based on this, in an embodiment of the present invention, the distance between adjacent particles is first calculated based on the position distribution of the particles, and the average distance of the particles in the entire particle cloud is obtained based on the distance between each two adjacent particles. When the average distance is less than 2λ, the scattering coupling between the particles needs to be considered. When the average distance is greater than 2λ, it can be considered that there is basically no coupling between the particles. The particle area in the particle cloud is further divided in combination with the position distribution and spatial distribution of the particles, so as to obtain a dense distribution area and a sparse distribution area; and different calculation methods are selected to calculate the scattering characteristics of different dense and sparse areas. Finally, the calculation results of the scattering characteristics of the two areas are superimposed, and the electromagnetic scattering characteristics of the entire particle cloud can be quickly obtained, which can improve the generation efficiency of the electromagnetic characteristics of the particle cloud under the dynamic diffusion process.

[0066] In some specific implementations, if the current particle region is densely distributed, a scattering matrix of each particle in the current particle region is calculated using a vector radiation transfer method to obtain a scattering characteristic of the current particle region;

[0067] If the current particle region is sparsely distributed, the scattering matrix of each particle in the current particle region is calculated using the vector superposition method to obtain the scattering characteristics of the current particle region.

[0068] In the embodiment of the present invention, the spatial distribution characteristics of the particle cloud are taken into consideration. For the dense area in the particle cloud, the electromagnetic scattering characteristics of the particle cloud are calculated by using the vector radiation transmission method. For the sparse area, the scattering field of the actual target can be approximately calculated by superimposing the scattering field of the scattering particles in space. Specifically, the scattering characteristics of the sparse area Calculated by the following formula:

[0069]

[0070] In the formula, represents the complex amplitude of the scattered electric field generated by the kth scatterer at the observation point, d k represents the distance from the source point to the kth scatterer, and λ represents the wavelength in free space.

[0071] In the embodiment of the present invention, the vector radiation transmission method and the vector superposition method are respectively used to detect the dense particle cloud (1200 particles are randomly and evenly distributed in spheres of different radii, the particle length is 1.5 cm, the incident wave frequency is 10 GHz, and the incident angle θ is 0. i =90°,φi =0°) and a sparse particle cloud (a particle cloud composed of 1200 5mm metal spherical particles, with a radius of 1.82m, 10GHz, VV polarization) are simulated and calculated, and the simulation results are compared with the calculation results of the traditional commercial software FEKO. Figure 6 It can be seen that by using the different methods selected in this embodiment to calculate the scattering characteristics of particle clouds in different regions respectively, it is possible to achieve rapid and accurate generation of the scattering characteristics of particle clouds.

[0072] Table 1 Comparison of RCS results for different particle cloud radii and fixed particle numbers

[0073]

[0074] It should be noted that the key to the embodiments of the present invention is to propose corresponding calculation methods for particles of different shapes and particles at different distances, and the specific processes for realizing particle scattering matrix calculation (Rayleigh-Gans method, electric dipole approximation method, vector radiation transmission method, etc.) are relatively mature methods in the field and will not be described in detail in the embodiments of the present invention.

[0075] like Figure 7 , Figure 8 As shown, an embodiment of the present invention provides a device for calculating the electromagnetic scattering characteristics of a particle cloud. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, Figure 7 FIG. 1 is a hardware architecture diagram of a computing device where a computing device for calculating electromagnetic scattering characteristics of a particle cloud provided by an embodiment of the present invention is located. Figure 7 In addition to the processor, memory, network interface, and non-volatile memory shown in the figure, the computing device in which the device is located in the embodiment may also generally include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 8 As shown, as a device in a logical sense, the CPU of the computing device in which it is located reads the corresponding computer program in the non-volatile memory into the memory and runs it. This embodiment provides a device for calculating the electromagnetic scattering characteristics of a particle cloud, the device comprising:

[0076] An acquisition unit 801 is used to acquire a simulation result of a particle cloud; wherein the simulation result includes a distribution type and a distribution volume of the particle cloud, and a morphological parameter and a motion parameter of each particle in the cloud;

[0077] A first calculation unit 802 is used to calculate the simulation result based on the cloud space distribution model to obtain the position parameter of each particle in the particle cloud and the spatial distribution characteristics of the particle cloud; wherein the spatial distribution characteristics of the particle cloud include uniform distribution, dense inside and sparse outside, and dense outside and sparse inside;

[0078] The second calculation unit 803 is used to calculate the position distribution of each particle in the particle cloud at any time according to the position parameter and motion parameter of each particle;

[0079] The third calculation unit 804 is used to select a corresponding calculation method according to the morphological parameters of each particle to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle;

[0080] The fourth calculation unit 805 is used to calculate the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

[0081] In an embodiment of the present invention, the acquisition unit 801 can be used to execute step 100 in the above method embodiment, the first calculation unit 802 can be used to execute step 102 in the above method embodiment, the second calculation unit 803 can be used to execute step 104 in the above method embodiment, the third calculation unit 804 can be used to execute step 106 in the above method embodiment, and the fourth calculation unit 805 can be used to execute step 106 in the above method embodiment.

[0082] In one embodiment of the present invention, in the first calculation unit 802, the cloud cluster spatial distribution model includes a spherical uniform distribution model and a spherical non-uniform distribution model;

[0083] In the spherical uniform distribution model, the position parameters of each particle are calculated by the following formula:

[0084]

[0085] Where p(r,φ,θ) is the probability of the particle mass center being at any point in space, R is the radius of the spherical particle cloud, r is the distance from the particle mass center to the coordinate origin, θ is the particle pitch angle, and φ is the particle azimuth angle;

[0086] In the spherical non-uniform distribution model, the position parameters of each particle are calculated using the following formula:

[0087]

[0088] In the formula, u is the mean of the normal distribution, D 2 is the variance of the normal distribution.

[0089] In one embodiment of the present invention, in the acquisition unit 801, the morphological parameters of each particle include the shape type and volume size of the particle, and the motion parameters of each particle include the initial velocity of particle diffusion.

[0090] In one embodiment of the present invention, in the third calculation unit 804, the shape type of the particle includes spherical, ellipsoidal, cylindrical or needle-shaped; wherein, when the shape type of the particle is spherical and ellipsoidal, the generalized Rayleigh-Gans approximation method is used to calculate the scattering matrix of each particle, when the shape type of the particle is cylindrical, the polarization basis transformation and Euler angle conversion method are used to calculate the scattering matrix of each particle, and when the shape type of the particle is needle-shaped, the electric dipole approximation method is used to calculate the scattering matrix of each particle.

[0091] In one embodiment of the present invention, in the fourth calculation unit 805, when calculating the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle, it includes:

[0092] Based on the position distribution of each particle, the distance between two adjacent particles is calculated respectively;

[0093] Based on the distance between every two adjacent particles, the average distance between particles in the particle cloud is obtained;

[0094] According to the average distance between particles, the density of particles is judged, and the particle area in the particle cloud is divided; wherein the particle area includes dense distribution and / or sparse distribution;

[0095] According to the scattering matrix of each particle in each particle region, a corresponding method is selected to calculate the scattering matrix of each particle region, and the scattering characteristics of each particle region in the particle cloud are obtained;

[0096] The scattering characteristics of each particle region are superimposed to obtain the scattering characteristics of the particle cloud.

[0097] In one embodiment of the present invention, if the current particle region is densely distributed, a scattering matrix of each particle in the current particle region is calculated using a vector radiation transmission method to obtain the scattering characteristics of the current particle region;

[0098] If the current particle region is sparsely distributed, the scattering matrix of each particle in the current particle region is calculated using the vector superposition method to obtain the scattering characteristics of the current particle region.

[0099] It is to be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on a device for calculating electromagnetic scattering characteristics of a particle cloud. In other embodiments of the present invention, a device for calculating electromagnetic scattering characteristics of a particle cloud may include more or fewer components than shown in the figure, or combine some components, or split some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0100] The information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For the specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0101] An embodiment of the present invention further provides a computing device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a method for calculating the electromagnetic scattering characteristics of a particle cloud in any embodiment of the present invention is implemented.

[0102] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the processor executes a method for calculating the electromagnetic scattering characteristics of a particle cloud in any embodiment of the present invention.

[0103] Specifically, a system or device equipped with a storage medium can be provided, on which software program code that implements the functions of any of the above-mentioned embodiments is stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program code stored in the storage medium.

[0104] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0105] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0106] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0107] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0108] An embodiment of the present application also provides a computer-readable storage medium, on which is stored at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement a method for calculating the electromagnetic scattering characteristics of a particle cloud provided in the above-mentioned method embodiments.

[0109] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0110] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0111] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating the electromagnetic scattering characteristics of a particle cloud, characterized in that: include: Acquire the simulation result of the particle cloud; wherein the simulation result includes the distribution type and distribution volume of the particle cloud and the morphological parameters and motion parameters of each particle in the cloud; The simulation results are calculated based on a cloud cluster spatial distribution model to obtain position parameters of each particle in the particle cloud cluster and spatial distribution characteristics of the particle cloud cluster; The position distribution of each particle in the particle cloud at any time is calculated according to the position parameter and motion parameter of each particle; According to the morphological parameters of each particle, a corresponding calculation method is selected to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle; The electromagnetic scattering characteristics of the particle cloud are calculated according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

2. The method according to claim 1, characterized in that The cloud cluster spatial distribution model includes a spherical uniform distribution model and a spherical non-uniform distribution model; In the spherical uniform distribution model, the position parameters of each particle are calculated by the following formula: Where p(r,φ,θ) is the probability of the particle mass center being at any point in space, R is the radius of the spherical particle cloud, r is the distance from the particle mass center to the coordinate origin, θ is the particle pitch angle, and φ is the particle azimuth angle; In the spherical non-uniform distribution model, the position parameters of each particle are calculated using the following formula: In the formula, u is the mean of the normal distribution, D 2 is the variance of the normal distribution.

3. The method according to claim 1, characterized in that The morphological parameters of each particle include the shape type and volume size of the particle, and the motion parameters of each particle include the initial velocity of particle diffusion.

4. The method according to claim 3, characterized in that The shape types of the particles include spherical, ellipsoidal, cylindrical or needle-shaped; when the shape type of the particles is spherical or ellipsoidal, the generalized Rayleigh-Gans approximation method is used to calculate the scattering matrix of each particle; when the shape type of the particles is cylindrical, the polarization basis transformation and Euler angle conversion method are used to calculate the scattering matrix of each particle; when the shape type of the particles is needle-shaped, the electric dipole approximation method is used to calculate the scattering matrix of each particle.

5. The method according to any one of claims 1 to 4, characterized in that The calculating the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle comprises: Based on the position distribution of each particle, the distance between two adjacent particles is calculated respectively; Based on the distance between every two adjacent particles, the average distance between particles in the particle cloud is obtained; According to the average distance between particles, the density of particles is judged, and the particle area in the particle cloud is divided; wherein the particle area includes dense distribution and / or sparse distribution; According to the scattering matrix of each particle in each particle region, a corresponding method is selected to calculate the scattering matrix of each particle region, and the scattering characteristics of each particle region in the particle cloud are obtained; The scattering characteristics of each particle region are superimposed to obtain the scattering characteristics of the particle cloud.

6. The method according to claim 5, characterized in that If the current particle region is densely distributed, the scattering matrix of each particle in the current particle region is calculated using the vector radiation transfer method to obtain the scattering characteristics of the current particle region; If the current particle region is sparsely distributed, the scattering matrix of each particle in the current particle region is calculated using the vector superposition method to obtain the scattering characteristics of the current particle region.

7. A device for calculating electromagnetic scattering characteristics of a particle cloud, characterized in that: include: An acquisition unit, used to acquire a simulation result of a particle cloud; wherein the simulation result includes a distribution type and a distribution volume of the particle cloud, and a morphological parameter and a motion parameter of each particle in the cloud; A first calculation unit is used to calculate the simulation result based on the cloud space distribution model to obtain the position parameter of each particle in the particle cloud and the spatial distribution characteristics of the particle cloud; A second calculation unit is used to calculate the position distribution of each particle in the particle cloud at any time according to the position parameter and motion parameter of each particle; A third calculation unit is used to select a corresponding calculation method according to the morphological parameters of each particle to calculate the electromagnetic scattering of each particle to obtain a scattering matrix of each particle; The fourth calculation unit is used to calculate the electromagnetic scattering characteristics of the particle cloud according to the scattering matrix of each particle, the spatial distribution characteristics of the particle cloud and the position distribution of each particle.

8. A computing device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises a computer program, wherein when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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