Sidelobe suppression method for phased-array antenna

Abstract

The invention relates to the technical field of low-orbit satellite communication, and discloses a phased-array antenna sidelobe suppression method, which can consume lower power under the condition of realizing the same sidelobe suppression effect as the traditional amplitude weighting. The method comprises the steps of selecting an array antenna layout and determining the number of array elements; and determining an actual working point of the power amplifier corresponding to each array element of the planar array according to the side lobe suppression requirement of interference avoidance. M kinds of power amplifiers are selected from the N kinds of power amplifiers with different working points and efficiencies, according to the actual working points and the efficiencies of the M kinds of power amplifiers working at the actual working points, an optimization problem is constructed with the purpose of minimizing the total power consumption of the array, the optimal power amplifier matching is calculated, and N > = M > 1. And configuring a corresponding power amplifier for the array element channel according to the optimal power amplifier matching.

Description

Technical Field

[0001] The present application relates to the field of low-orbit satellite communication technology, and in particular to a phased array antenna sidelobe suppression method. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the present application as recited in the claims. The description herein is not admitted to be prior art as disclosed by virtue of its inclusion in this section.

[0003] With the maturity of related technologies and the reduction of aerospace product costs, the construction of large-scale low-orbit broadband satellite communication systems has become possible. Due to their advantages of low latency, large bandwidth and wide coverage, they can make up for the insufficient coverage of existing broadband mobile communication systems in oceans, deserts, sparsely populated areas and other areas. The construction of a space-ground integrated communication network system has become an inevitable trend in the future.

[0004] The low-orbit broadband satellite communication system is composed of a large number of satellites. One of the important issues that need to be solved in its construction and operation is the interference avoidance problem, which prevents the degradation or unavailability of communication performance due to mutual interference. It mainly includes interference avoidance within the system, interference avoidance with other NGSO systems, and interference avoidance with GSO systems. The ITU (International Telecommunication Union) has clear requirements and constraints on this issue.

[0005] An effective way to solve this problem is to use a combination of isolation angle and low sidelobe suppression for the transmit beam, avoid certain interference areas by controlling the beam pointing of the phased array antenna of the low-orbit satellite, and suppress the side lobes of the antenna to minimize the interference caused by useless sidelobe signals. The low sidelobe requirement under this requirement is basically the low sidelobe requirement for all directions, and the on-orbit calculation complexity and storage volume are minimized. To achieve this goal, an amplitude weighting method is required, including Taylor weighting, Chebyshev weighting, etc.

[0006] The problem caused by amplitude weighting is the broadening of the main lobe of the beam, the decrease of gain and power. In fact, after the service cell is reasonably planned, the broadening of the beam will not have an adverse effect on the operation of the low-orbit satellite system. However, for the transmitting phased array, amplitude weighting is achieved by controlling the output power of the final power amplifier in engineering products. This method will make the power amplifier work back from the original rated operating point, resulting in a certain power loss, wasting the capacity of the power amplifier and equivalently reducing the working efficiency of the power amplifier. Summary of the invention

[0007] The purpose of the present application is to provide a phased array antenna sidelobe suppression method, which can consume lower power while achieving the same sidelobe suppression effect as traditional amplitude weighting.

[0008] The present application discloses a phased array antenna sidelobe suppression method, comprising:

[0009] Select the array antenna layout and determine the number of array elements;

[0010] Determine the actual operating point of the power amplifier corresponding to each array element of the planar array according to the sidelobe suppression requirement of interference avoidance;

[0011] Select M power amplifiers from N power amplifiers with different operating points and efficiencies, construct an optimization problem based on the actual operating point and the efficiency of the M power amplifiers operating at the actual operating point, and calculate the best power amplifier combination with the goal of minimizing the total power consumption of the array, N≥M>1;

[0012] According to the optimal power amplifier combination, a corresponding power amplifier is configured for the array element channel.

[0013] In a preferred embodiment, it further comprises: any power amplifier PA of the N power amplifiers with different operating points and efficiencies k , the efficiency at the working point Pr is E_PA k (Pr), the actual power consumption of the power amplifier is The maximum rated output power point that meets the linearity requirement is Po_PA k .

[0014] In a preferred embodiment, the optimization problem constructed with the goal of minimizing the total power consumption of the array further includes:

[0015] M types of power amplifiers selected from the N types of power amplifiers with different operating points and efficiencies are respectively applied to different array elements, and each of the array elements E i，j The power amplifier corresponding to the channel is SP i，j , S.P. i，j ∈{PA1,PA2,...,PA N}, the selection of the power amplifier needs to make the entire array meet the minimum actual total power consumption, and the following optimization problem is constructed:

[0016]

[0017]

[0018] The problem is solved by using an optimization algorithm, and after the solution, each array element E is determined i，j The corresponding power amplifier SP i，j , where i is the row number of the array element, j is the column number of the array element, {PA1, PA2, ..., PA N} is a set of power amplifiers with N different operating points and efficiencies.

[0019] In a preferred example, determining the actual operating point of the power amplifier corresponding to each array element of the planar array according to the sidelobe suppression requirement of interference avoidance further comprises:

[0020] According to the sidelobe suppression requirement for interference avoidance, determine the sidelobe suppression requirement for each element E of the planar array. i，j The appropriate amplitude weighting coefficient, the corresponding normalized amplitude weighting coefficient is expressed as w i，j ∈[0, 1];

[0021] Define the amplitude weighting coefficient w i，j =1, the corresponding power amplifier output power is the rated power P E , the actual operating point of the power amplifier corresponding to each array element is Pr i，j =P E *w i，j .

[0022] In a preferred embodiment, the determination of each array element E of the planar array i，j Suitable amplitude weighting factors further include:

[0023] According to the low-orbit satellite interference avoidance strategy and scenario, a 22° isolation angle strategy and a 30dB Taylor amplitude weighting algorithm are adopted. For each array element of the array, the normalized amplitude weighting coefficient is

[0024] w i，j =TaylorWin(N,α) i *TaylorWin(N,α) j

[0025] Wherein, TaylorWin(N, α) is a Taylor function, which generates a relative attenuation αdB and the normalized amplitude weighting coefficient of N discrete sampling points.

[0026] In a preferred example, after configuring corresponding power amplifiers for array element channels according to the optimal power amplifier combination, the method further includes:

[0027] Update the array weighting coefficient according to the operating point and maximum output power of the power amplifier of the optimal power amplifier combination in:

[0028]

[0029]

[0030] Po_PA maxThe maximum output power of the power amplifier selected for the array element.

[0031] In a preferred example, the optimization algorithm is a particle swarm algorithm, a genetic algorithm or an ant colony algorithm.

[0032] In a preferred example, the optimization algorithm adopts a particle swarm algorithm, wherein the number of particles N=100, the local learning factor c1=2, the global learning factor c2=2, the inertia weight w=0.9, and the maximum iteration coefficient M=1000.

[0033] The present application also discloses a phased array antenna sidelobe suppression system, comprising:

[0034] a memory for storing computer executable instructions; and,

[0035] A processor, coupled to the memory, is configured to implement the steps in the method described above when executing the computer executable instructions.

[0036] The present application also discloses a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, the steps in the method described above are implemented.

[0037] In the implementation manner of the present application, compared with the conventional phased array antenna design using a single power amplifier, M power amplifiers are selected from N power amplifiers with different operating points and efficiencies, and an optimization problem is constructed based on the actual operating point and the efficiency of the M power amplifiers operating at the actual operating point, with the goal of minimizing the total power consumption of the array, so that the best power amplifier matching can be calculated. The best power amplifier matching obtained by the optimization algorithm can be used to configure different types of power amplifiers corresponding to the array element channels. Since the result is obtained based on the sidelobe suppression requirements of interference avoidance, the power consumption of the phased array antenna can be effectively reduced by about 20% without losing the sidelobe suppression performance.

[0038] Each technical feature disclosed in the above invention content, each technical feature disclosed in each implementation mode and example below, and each technical feature disclosed in the accompanying drawings can be freely combined with each other to form various new technical solutions (these technical solutions should be deemed to have been recorded in this specification), unless such combination of technical features is technically infeasible. For example, in one example, feature A+B+C is disclosed, and in another example, feature A+B+D+E is disclosed, and features C and D are equivalent technical means that play the same role. Technically, only one of them can be used, and it is impossible to use them at the same time. Feature E can be combined with feature C technically. Then, the solution of A+B+C+D should not be deemed to have been recorded because it is technically infeasible, while the solution of A+B+C+E should be deemed to have been recorded. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 is a flow chart of a phased array antenna sidelobe suppression method according to an embodiment of the present application;

[0040] Figure 2 is a flow chart of a phased array antenna sidelobe suppression method according to an embodiment of the present application;

[0041] Figure 3 is a corresponding array design diagram of a phased array antenna sidelobe suppression method according to an embodiment of the present application;

[0042] Figure 4 is a power amplifier distribution diagram of a corresponding array element of a phased array antenna sidelobe suppression method according to an embodiment of the present application;

[0043] Figure 5 It is a simulated beam pattern resulting from a phased array antenna sidelobe suppression method according to one embodiment of the present application. DETAILED DESCRIPTION

[0044] In the following description, many technical details are provided to help readers better understand the present application. However, those skilled in the art can understand that the technical solution claimed in the present application can be implemented even without these technical details and various changes and modifications based on the following embodiments.

[0045] Description of some concepts:

[0046] Side lobe: In an antenna or radar system, the main lobe refers to the direction in which the antenna radiates or receives the most power. Side lobes refer to directions other than the main lobe, also known as side lobes. Although the radiated or received power in these directions is much lower than the main lobe, it is still possible to cause interference or receive interference. When designing an antenna system, it is usually necessary to take some measures to suppress the size of the side lobes to reduce interference and improve system performance.

[0047] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0048] The first embodiment of the present application relates to a phased array antenna sidelobe suppression method, the process of which is as follows: Figure 1 As shown, the method comprises the following steps:

[0049] In step 101, the array antenna layout is selected and the number of array elements is determined.

[0050] In step 102, the actual operating point of the power amplifier corresponding to each array element of the planar array is determined according to the sidelobe suppression requirement of interference avoidance.

[0051] In step 103, M power amplifiers are selected from N power amplifiers with different operating points and efficiencies. Based on the actual operating points and the efficiencies of the M power amplifiers operating at the actual operating points, an optimization problem is constructed with the goal of minimizing the total power consumption of the array to calculate the best power amplifier combination, N≥M>1.

[0052] In step 104, corresponding power amplifiers are configured for array element channels according to the optimal power amplifier matching.

[0053] In an optional embodiment, any power amplifier PA among N power amplifiers with different operating points and efficiencies k , the efficiency at the working point Pr can be E_PA k (Pr), the actual power consumption of the power amplifier can be The maximum rated output power point that meets the linearity requirement can be Po_PA k .

[0054] In an optional embodiment, the present invention may further include: M types of power amplifiers selected from N types of power amplifiers with different operating points and efficiencies are respectively applied to different array elements, and each array element E i，j The power amplifier corresponding to the channel is SP i，j , S.P. i，j ∈{PA1,PA2,...,PA N}, the selection of the power amplifier needs to minimize the total power consumption of the entire array, and the following optimization problem is constructed:

[0055]

[0056]

[0057] The optimization algorithm is used to solve this problem. After solving it, each array element E is determined. i，j Corresponding power amplifier SP i，j , where i is the row number of the array element, j is the column number of the array element, {PA1, PA2, ..., PA N} is a collection of N power amplifiers with different operating points and efficiencies.

[0058] In an optional embodiment, the method may further include: determining, according to the sidelobe suppression requirement of interference avoidance, for each array element E of the planar array i，j The appropriate amplitude weighting coefficient, the corresponding normalized amplitude weighting coefficient is expressed as w i，j ∈[0, 1];

[0059] Define the amplitude weighting factor w i，j =1, the corresponding power amplifier output power is the rated power PE , the actual operating point of the power amplifier corresponding to each array element is Pr i，j =P E *w i，j .

[0060] In an optional embodiment, the following may also be included: according to the low-orbit satellite interference avoidance strategy and scenario, a 22° isolation angle strategy and a 30dB Taylor amplitude weighting algorithm are used to calculate the value of each array element E i，j , the normalized amplitude weighting coefficient is

[0061] w i，j =TaylorWin(N,α) i *TaylorWin(N,α) j

[0062] Wherein, TaylorWin(N, α) is the Taylor function, which generates the relative attenuation αdB and the normalized amplitude weighting coefficient of the discrete sampling N points.

[0063] In an optional embodiment, the array weighting coefficient is updated according to the operating point and maximum output power of the power amplifier of the best power amplifier combination. in:

[0064]

[0065]

[0066] Po_PA max The maximum output power of the power amplifier selected for the array element.

[0067] In an optional embodiment, the optimization algorithm may be a particle swarm algorithm, a genetic algorithm or an ant colony algorithm.

[0068] In an optional embodiment, the optimization algorithm may adopt a particle swarm algorithm, wherein the number of particles N=100, the local learning factor c1=2, the global learning factor c2=2, the inertia weight w=0.9, and the maximum iteration coefficient M=1000.

[0069] In order to better understand the technical solution of the present application, a specific example and accompanying drawings are used for explanation below. The process of the example is as follows: Figure 2 As shown, in addition, the details listed in this example are mainly for ease of understanding and are not intended to limit the scope of protection of the present application.

[0070] In step 201, according to the task requirements, a 24*24 element two-dimensional array is designed, all elements are evenly distributed in a rectangular grid, the working wavelength λ=2.73cm, and the spacing d between adjacent antennas is x =dy =d=0.5λ, the layout is as follows Figure 3 shown.

[0071] In step 202, according to a certain low-orbit satellite interference avoidance strategy and scenario, a 22° isolation angle strategy and a 30 dB Taylor amplitude weighting algorithm are used to calculate the interference of each array element E i，j , the normalized amplitude weighting coefficient is

[0072] w i，j =TaylorWin(24,30) i *TaylorWin(24,30) j

[0073] TaylorWin(24, 30) is a Taylor function that generates a normalized amplitude weighting coefficient with a relative attenuation of 30 dB and 24 discrete sampling points.

[0074] In step 203, in combination with the requirement for transmitting FTRP (equivalent isotropically radiated power), the amplitude weight coefficient w is required for the transmitting phased array, taking into account the loss after amplitude weighting. i，j =1, the corresponding power amplifier output power is the rated power P E Need to reach 23dBm.

[0075] In step 204, based on the optional power amplifiers, 12 power amplifiers with different operating points and efficiencies are first selected. k , the efficiency at the working point Pr is E_PA k (Pr), the actual power consumption of the power amplifier is The maximum rated output power point that meets the linearity requirement is Po_PA k

[0076] In step 205, three types of power amplifiers are selected from a set of 12 types of power amplifiers and applied to different array elements E respectively. i，j . Let each array element E i，j The power amplifier corresponding to the channel is SP i，j , S.P. i，j ∈{PA1,PA2,...,PA 12}, i is the row number of the array element, j is the column number of the array element, {PA1, PA2, ..., PA 12} is a collection of N power amplifiers with different operating points and efficiencies. The selection of power amplifiers needs to minimize the total power consumption of the entire array, and the following optimization problem is constructed:

[0077]

[0078]

[0079] The particle swarm algorithm is used to solve this problem. The parameters of the particle swarm algorithm are: number of particles N = 100, local learning factor c1 = 2, global learning factor c2 = 2, inertia weight w = 0.9, and maximum iteration coefficient M = 1000. After solving, each array element E is determined i，j Corresponding power amplifier SP i，j There are 3 types in total, and their distribution is as follows Figure 4 As shown, the maximum rated output power points of the three power amplifiers are 23 / 11.5 / 6dBm respectively. The circle in the center of the array corresponds to the 23dBm power amplifier, the squares on the edge correspond to the 6dBm power amplifier, and the diamond in the middle corresponds to the 11.5dBm power amplifier.

[0080] In step 206, the array weighting coefficient is updated according to the operating point and maximum output power of the power amplifier of the best power amplifier combination. in:

[0081]

[0082]

[0083] Po_PA max The maximum output power of the power amplifier selected for the array element.

[0084] In step 207, the power amplifier of each array element of the phased array antenna is optimized and selected and configured, and beamforming and pointing control are performed based on the updated weighting coefficients to achieve sidelobe suppression and save power consumption.

[0085] After analysis, for this transmitting phased array antenna design, compared with the design of all using a 23dBm power amplifier, the optimized selection of three 23 / 11.5 / 6dBm power amplifier designs can reduce power consumption from 232.8W to 185.6W while achieving the same sidelobe suppression performance and transmission performance. The 0° profile of the beam pattern of the two design arrays is shown in the figure Figure 5 As shown, it can be seen that the significant advantages of adopting the implementation method of the present application are as described above. Under the condition of the same sidelobe suppression effect as the traditional amplitude weighting, the power consumption of the present application is lower.

[0086] A second embodiment of the present application relates to a phased array antenna sidelobe suppression system, the phased array antenna sidelobe suppression system comprising:

[0087] a memory for storing computer executable instructions; and,

[0088] The processor is coupled to the memory and is configured to implement any steps in the method described above when executing computer executable instructions.

[0089] The first implementation manner is a method implementation manner corresponding to the present implementation manner. The technical details in the first implementation manner can be applied to the present implementation manner, and the technical details in the present implementation manner can also be applied to the first implementation manner.

[0090] Accordingly, the embodiments of the present application also provide a computer-readable storage medium, in which computer executable instructions are stored, and when the computer executable instructions are executed by the processor, the various method embodiments of the present application are implemented. Computer-readable storage media include permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be a computer-readable instruction, a data structure, a module of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable storage media does not include temporary computer-readable media (transitory media), such as modulated data signals and carriers.

[0091] It should be noted that, in the present application, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements defined by the sentence "include one" do not exclude the existence of other identical elements in the process, method, article or equipment including the elements. In the present application, if it is mentioned that a certain action is performed according to a certain element, it means at least the meaning of performing the action according to the element, which includes two situations: performing the action only according to the element and performing the action according to the element and other elements. Multiple, multiple, multiple, etc. expressions include 2, 2 times, 2 kinds and more than 2, more than 2 times, more than 2 kinds.

[0092] The serial numbers used in describing the steps of the method do not themselves constitute any limitation on the order of these steps. For example, the step with a larger serial number does not necessarily have to be executed after the step with a smaller serial number. The step with a larger serial number may be executed first and then the step with a smaller serial number. They may also be executed in parallel, as long as this execution order is reasonable for those skilled in the art. For another example, multiple steps with consecutive serial numbers (e.g., step 101, step 102, step 103, etc.) do not limit other steps that can be executed in between. For example, there may be other steps between step 101 and step 102.

[0093] This specification includes combinations of the various embodiments described herein. Individual references to embodiments (e.g., "one embodiment" or "some embodiments" or "preferred embodiments"); however, these embodiments are not mutually exclusive unless indicated as mutually exclusive or it is clear to a person skilled in the art that they are mutually exclusive. It should be noted that the word "or" is used in this specification in a non-exclusive sense unless the context clearly indicates or requires otherwise.

[0094] All documents mentioned in this specification are considered to be included in the disclosure of this application as a whole, so that they can be used as a basis for modification when necessary. In addition, it should be understood that the above is only a preferred embodiment of this specification and is not intended to limit the scope of protection of this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification should be included in the scope of protection of one or more embodiments of this specification.

[0095] In some cases, the actions or steps described in the claims may be performed in a different order than in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A phased array antenna sidelobe suppression method, characterized in that: include: Select the array antenna layout and determine the number of array elements; Determine the actual operating point of the power amplifier corresponding to each array element of the planar array according to the sidelobe suppression requirement of interference avoidance; Select M power amplifiers from N power amplifiers with different operating points and efficiencies, construct an optimization problem based on the actual operating point and the efficiency of the M power amplifiers operating at the actual operating point, and calculate the best power amplifier combination with the goal of minimizing the total power consumption of the array, N≥M>1; According to the optimal power amplifier combination, a corresponding power amplifier is configured for the array element channel.

2. The phased array antenna sidelobe suppression method according to claim 1, characterized in that: Further including: Any power amplifier PA among the N power amplifiers with different operating points and efficiencies k , the efficiency at the working point Pr is E_PA k (Pr), the actual power consumption of the power amplifier is The maximum rated output power point that meets the linearity requirement is Po_PA k .

3. The phased array antenna sidelobe suppression method according to claim 1, characterized in that: The optimization problem constructed with the goal of minimizing the total power consumption of the array further includes: M types of power amplifiers selected from the N types of power amplifiers with different operating points and efficiencies are respectively applied to different array elements, and each of the array elements E i，j The power amplifier corresponding to the channel is SP i，j , S.P. i，j ∈{PA1,PA2,...,PA N }, the selection of the power amplifier needs to make the entire array meet the minimum actual total power consumption, and the following optimization problem is constructed: The problem is solved by using an optimization algorithm, and after the solution, each array element E is determined i，j The corresponding power amplifier SP i，j , where i is the row number of the array element, j is the column number of the array element, {PA1, PA2, ..., PA N } is a set of power amplifiers with N different operating points and efficiencies.

4. The phased array antenna sidelobe suppression method according to claim 1, characterized in that: Determining the actual operating point of the power amplifier corresponding to each array element of the planar array according to the sidelobe suppression requirement for interference avoidance further includes: According to the sidelobe suppression requirement for interference avoidance, determine the sidelobe suppression requirement for each element E of the planar array. i,j The appropriate amplitude weighting coefficient, the corresponding normalized amplitude weighting coefficient is expressed as w i,j ∈[0, 1]; Define the amplitude weighting coefficient w i,j =1, the corresponding power amplifier output power is the rated power P E , the actual operating point of the power amplifier corresponding to each array element is Pr i,j =P E *w i,j .

5. The phased array antenna sidelobe suppression method according to claim 4, characterized in that: The determination of each array element E of the planar array i，j Suitable amplitude weighting factors further include: According to the low-orbit satellite interference avoidance strategy and scenario, a 22° isolation angle strategy and a 30dB Taylor amplitude weighting algorithm are used. i，j , the normalized amplitude weighting coefficient is w i,j =TaylorWin(N,α) i *TaylorWin(N,a) j Wherein, TaylorWin(N, α) is a Taylor function, which generates a relative attenuation αdB and the normalized amplitude weighting coefficient of N discrete sampling points.

6. The phased array antenna sidelobe suppression method according to claim 1, characterized in that: After configuring the corresponding power amplifier for the array element channel according to the optimal power amplifier combination, the method further includes: Update the array weighting coefficient according to the operating point and maximum output power of the power amplifier of the optimal power amplifier combination in: Po_PA max The maximum output power of the power amplifier selected for the array element.

7. The phased array antenna sidelobe suppression method according to claim 3, characterized in that: The optimization algorithm is a particle swarm algorithm, a genetic algorithm or an ant colony algorithm.

8. The phased array antenna sidelobe suppression method according to claim 7, characterized in that: The optimization algorithm adopts a particle swarm algorithm, wherein the number of particles N=100, the local learning factor c1=2, the global learning factor c2=2, the inertia weight w=0.9, and the maximum iteration coefficient M=1000.

9. A phased array antenna sidelobe suppression system, characterized in that: include: A memory for storing computer executable instructions; as well as, A processor, coupled to the memory, configured to implement the steps of the method according to any one of claims 1 to 8 when executing the computer executable instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the steps in the method according to any one of claims 1 to 8 are implemented.

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