Site scattering uncertainty simulation model construction method and device, equipment and medium

Abstract

The application discloses a site scattering uncertainty simulation model construction method and device, equipment and medium, relates to the technical field of site scattering uncertainty test, and the method comprises the following steps: obtaining a direct wave signal insertion loss model between a to-be-tested antenna and a probe based on a Friis transmission formula and a transmission model; constructing a reflected wave signal insertion loss model between the to-be-tested antenna and the probe based on an angle parameter, a reflectivity parameter and the direct wave signal insertion loss model; constructing a ratio model of the reflected wave and the direct wave based on the direct wave signal insertion loss model and the reflected wave signal insertion loss model; obtaining a measurement result after site reflection based on a measurement result before site reflection and the ratio model; and obtaining an uncertainty component based on the measurement result before site reflection and the measurement result after site reflection. The model constructed by the method can greatly improve the accuracy of antenna measurement.

Description

Technical Field

[0001] This application relates to the field of field scattering uncertainty determination technology, and in particular to methods, apparatus, equipment and media for constructing simulation models of field scattering uncertainty. Background Technology

[0002] The focus of antenna electrical performance measurement is on the far-field radiation characteristics of the antenna. However, to accurately measure these characteristics, a uniform plane electromagnetic wave is first required. Based on the method of obtaining the plane wave, antenna measurement techniques are divided into far-field testing methods and near-field testing methods. In both far-field and near-field testing methods, the scattering of the test site is a significant factor affecting the accuracy of antenna measurements. The uncertainty component introduced by the test site usually requires translation of the antenna under test and the probe within the measurement system. However, this simultaneously makes the mechanical errors of the test system difficult to control, making this task challenging.

[0003] In existing technologies, the uncertainty of site scattering is only considered in relation to the attenuation of electromagnetic waves over distance. This approach cannot accurately measure the uncertainty of site scattering, thus affecting the accuracy of antenna measurements. Summary of the Invention

[0004] The main purpose of this application is to provide a method, apparatus, equipment and medium for constructing a simulation model of site scattering uncertainty, in order to solve the technical problem that the uncertainty of site scattering cannot be accurately tested in the prior art, thereby affecting the accuracy of antenna measurement.

[0005] To achieve the above objectives, the first aspect of this application provides a method for constructing a simulation model for site scattering uncertainty, the method comprising:

[0006] Based on the Friesian transmission formula and transmission model, a signal insertion loss model for the direct wave between the antenna under test and the probe is obtained; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection.

[0007] Based on the angle parameter, reflectivity parameter, and the signal insertion loss model of the direct wave, a signal insertion loss model of the reflected wave between the antenna under test and the probe is constructed; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material;

[0008] Based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave, a ratio model of the reflected wave to the direct wave is constructed.

[0009] Based on the measurement results without site reflection and the ratio model, the measurement results with site reflection are obtained;

[0010] Based on the measurement results without site reflection and the measurement results with site reflection, an uncertainty component is obtained; wherein, the uncertainty component is the uncertainty component introduced by site reflection.

[0011] Optionally, obtaining the uncertainty component based on the measurement results without site reflection and the measurement results with site reflection includes:

[0012] Obtain the far-field radiation pattern of the measurement results without field reflection and the far-field radiation pattern of the measurement results with field reflection;

[0013] The uncertainty component is obtained based on the far-field radiation pattern of the measurement results without site reflection and the far-field radiation pattern of the measurement results with site reflection.

[0014] Optionally, obtaining the measurement results with site reflection based on the measurement results without site reflection and the ratio model includes:

[0015] The measurement results after reflection from the site are obtained using the following relationship:

[0016] S' 21 =S 21 (θ,φ)×(1+ε absrb )

[0017] Among them, S' 21 S represents the measurement result after reflection from the site. 21 The measurement results are without site reflection, where φ represents the incident angle of the electromagnetic wave, θ represents the angle of the probe, and ε... absrb This represents a ratio model.

[0018] Optionally, the step of constructing a ratio model between the reflected wave and the direct wave based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave includes:

[0019] The ratio model of the reflected wave to the direct wave can be obtained through the following relationship:

[0020]

[0021] in, This represents the signal insertion loss model for direct waves. The signal insertion loss model for the reflected wave is represented by d. R d represents the distance an electromagnetic wave travels from the probe, after one reflection by the absorbing material, to the antenna under test.D Γ(φ) represents the straight-line distance between the antenna under test and the probe, Γ(φ) represents the reflectivity of the electromagnetic wave after it is incident on the absorbing material at an angle φ, and G represents the reflectivity of the electromagnetic wave. probe (θ”) represents the gain of the probe in the θ” angular direction; G represents the gain in the θ' direction when the electromagnetic wave reaches the antenna under test after one reflection; probe (θ”=0) represents the gain in the probe's line-of-sight direction; This represents the gain in the direction of the antenna under test when electromagnetic waves directly reach it.

[0022] Optionally, the step of constructing a signal insertion loss model for the reflected wave between the antenna under test and the probe based on angle parameters, reflectivity parameters, and the signal insertion loss model of the direct wave includes:

[0023] The signal insertion loss model of the reflected wave is obtained through the following relationship:

[0024]

[0025] Where λ represents the wavelength of the electromagnetic wave.

[0026] Optionally, obtaining the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Friesian transmission formula and transmission model includes:

[0027] The signal insertion loss model of the direct wave is obtained through the following relationship:

[0028]

[0029] Optionally, obtaining the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Friesian transmission formula and transmission model includes:

[0030] The transmission model is obtained through the following relationship:

[0031] P AUT =P Probe G probe G AUT (λ / 4πd) 2

[0032] Among them, P AUT P represents the received power of the antenna under test. Probe G represents the transmitter power of the probe. AUT G represents the gain of the antenna under test. probe d represents the gain of the probe, and d represents the distance between the antenna under test and the probe.

[0033] Secondly, a device for constructing a simulation model of site scattering uncertainty, the device comprising:

[0034] The acquisition module is used to acquire the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Fries transmission formula and the transmission model; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; and the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection.

[0035] The first model is used to construct a signal insertion loss model of the reflected wave between the antenna under test and the probe based on the angle parameter, the reflectivity parameter, and the signal insertion loss model of the direct wave; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material;

[0036] The second model is used to construct a ratio model between the reflected wave and the direct wave based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave.

[0037] The first obtaining module is used to obtain the measurement results with site reflection based on the measurement results without site reflection and the ratio model;

[0038] The second obtaining module is used to obtain an uncertainty component based on the measurement results without site reflection and the measurement results with site reflection; wherein the uncertainty component is an uncertainty component introduced by site reflection.

[0039] Thirdly, this application provides a computer device including a memory and a processor, wherein the memory stores a computer program and the processor executes the computer program to implement the methods described in the embodiments.

[0040] Fourthly, this application provides a computer-readable storage medium storing a computer program, on which a processor executes the computer program to implement the methods described in the embodiments.

[0041] Through the above technical solution, this application has at least the following beneficial effects:

[0042] The method, apparatus, equipment, and medium for constructing a site scattering uncertainty simulation model proposed in this application first obtain a signal insertion loss model of the direct wave between the antenna under test and the probe based on the Friesian transmission formula and transmission model. The antenna under test is used to receive electromagnetic waves, and the probe is used to transmit electromagnetic waves. The direct wave is an electromagnetic wave that arrives directly at the antenna under test from the probe without reflection. The transmission model is a transmission model of the power of the electromagnetic wave that arrives directly at the antenna under test from the probe without reflection. Then, based on angle parameters, reflectivity parameters, and the signal insertion loss model of the direct wave, a reflection model between the antenna under test and the probe is constructed. A signal insertion loss model for the wave is proposed. The angle parameter is introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter of the electromagnetic wave after incident on the absorbing material. Then, based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave, a ratio model of the reflected wave to the direct wave is constructed. Next, based on the measurement results without site reflection and the ratio model, the measurement results with site reflection are obtained. Finally, based on the measurement results without site reflection and the measurement results with site reflection, the uncertainty component is obtained; where the uncertainty component is the uncertainty component introduced by site reflection. When determining the site scattering uncertainty using this method, the signal insertion loss of the direct wave without reflection is first obtained, and then the signal insertion loss of the reflected wave is obtained. The signal insertion loss of the direct wave can be obtained directly, while the signal insertion loss of the reflected wave considers the actual angle of the antenna under test, the angle of the probe, and the reflectivity of the electromagnetic wave reflected at the absorbing material. Then, a ratio model is obtained by comparing the signal insertion loss of the reflected wave with that of the direct wave. Based on the measurement results without site reflection and the ratio model, the measurement results with site reflection are obtained. The measurement results without site reflection can be obtained directly. Finally, the uncertainty component of site scattering is obtained using both the measurement results without and with site reflection. That is, the technical solution of this application, by introducing the angle parameters of the antenna under test, the angle parameters of the probe, and the reflectivity parameters of the absorbing material, better reflects the actual propagation of electromagnetic waves. Therefore, when testing the uncertainty component of electromagnetic waves, not only the distance between the antenna under test and the probe is considered, but also the angle parameters of the antenna under test, the angle of the probe, and the reflectivity of the absorbing material during the actual propagation of the electromagnetic wave. Thus, when determining the uncertainty of site scattering using this method, more factors affecting the uncertainty component are taken into account. The model constructed based on considering more factors in the actual propagation process of electromagnetic waves can more accurately test the uncertainty component of electromagnetic wave site scattering.Based on more accurate uncertainty components of electromagnetic wave field scattering, the accuracy of antenna measurements can be greatly improved. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the computer device structure for the hardware operating environment involved in the embodiments of this application;

[0044] Figure 2 This is a flowchart illustrating the method for constructing a simulation model for site scattering uncertainty according to an embodiment of this application.

[0045] Figure 3 This is a schematic diagram of the electromagnetic waves emitted by the probe in the embodiments of this application after reflection;

[0046] Figure 4 This is a flowchart illustrating a specific execution method for step S14;

[0047] Figure 5 This is a schematic diagram of near-field data of the E-plane obtained without site reflection in the embodiments of this application;

[0048] Figure 6 This is a schematic diagram of near-field data of the H-plane obtained without site reflection in the embodiments of this application;

[0049] Figure 7 This is a schematic diagram of near-field data of the E-plane obtained by site reflection in an embodiment of this application;

[0050] Figure 8 This is a schematic diagram of near-field data of the H-plane obtained by site reflection in an embodiment of this application;

[0051] Figure 9 This is a schematic diagram of the device for constructing a simulation model of site scattering uncertainty according to an embodiment of this application.

[0052] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0053] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0054] The focus of antenna electrical performance measurement is on the far-field radiation characteristics of the antenna. However, to accurately measure these characteristics, a uniform plane electromagnetic wave is first required. Based on the method of acquiring the plane wave, antenna measurement techniques are divided into far-field testing methods and near-field testing methods. The characteristic of far-field testing methods is that the obtained far-field data does not require calculation or conversion; it directly represents the antenna's far-field radiation characteristics. Far-field testing can be further divided into three categories: elevated antenna testing, slanted antenna testing, and ground reflection testing. However, far-field testing methods require a minimum test distance between the antenna under test and the auxiliary antenna to meet the far-field testing conditions, and the test site generally requires a flat, open ground free of metal obstructions and reflectors. For some modern antennas with high measurement accuracy requirements, far-field testing methods are no longer sufficient.

[0055] Near-field testing is a testing method that uses a probe with known characteristics to scan and measure the amplitude and phase information on a certain surface in the near-field region of the antenna under test (AUT). The far-field radiation characteristics of the AUT are then determined through rigorous mathematical transformations. Near-field testing methods can currently be divided into planar scanning, cylindrical scanning, and spherical scanning methods. Due to its advantages such as good confidentiality, minimal susceptibility to weather and other environmental factors, high testing accuracy, and the ability to operate 24 / 7, near-field testing has become a mainstream antenna testing method. However, its characteristics also lead to high requirements for the positioning accuracy of the mechanical system. Therefore, it is necessary to analyze and study the influencing factors such as the measurement site, the radio frequency system, the scanning subsystem, and background control. Scattering from the test site is a significant factor affecting the accuracy of antenna measurements. The uncertainty introduced by the test site usually requires translation of the AUT and the probe within the measurement system, but this makes the mechanical errors of the test system difficult to control, making this task challenging.

[0056] Current uncertainty analysis modeling for site scattering only considers the distance attenuation of electromagnetic waves and neglects the gain anisotropy of the transmitting and receiving antennas. Furthermore, the reflectivity parameters obtained in traditional methods are calculated solely from the electromagnetic parameters of the materials. In summary, current methods for testing the uncertainty of site scattering only consider the distance attenuation factor of electromagnetic waves. This approach cannot accurately measure the uncertainty of site scattering, thus affecting the accuracy of antenna measurements.

[0057] To address the aforementioned technical problems, this application provides a method, apparatus, equipment, and medium for constructing a simulation model for site scattering uncertainty. Before introducing the specific technical solutions of this application, the hardware operating environment involved in the embodiments of this application will be described first.

[0058] Reference Figure 1 , Figure 1 This is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiments of this application.

[0059] like Figure 1 As shown, the computer device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0060] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the computer device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0061] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and electronic programs.

[0062] exist Figure 1 In the computer device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the computer device of the present invention can be set in the computer device, and the computer device calls the site scattering uncertainty simulation model construction device stored in the memory 1005 through the processor 1001, and executes the site scattering uncertainty simulation model construction method provided in the embodiment of this application.

[0063] Reference Figure 2 Based on the hardware environment of the foregoing embodiments, embodiments of this application provide a method for constructing a simulation model for site scattering uncertainty, the method comprising:

[0064] S10: Based on the Friesian transmission formula and transmission model, obtain the signal insertion loss model of the direct wave between the antenna under test and the probe; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection.

[0065] In practical implementation, the Friesian transmission formula is the most important antenna theory formula. It relates transmitted power, antenna gain, distance, wavelength, and received power. The Friesian formula is used to calculate the received power from one antenna to another. Specifically, the Friesian transmission formula can be obtained using existing technologies. The transmission model is a transmission model between the antenna under test and the probe under ideal conditions. "Ideal conditions" means that the electromagnetic wave does not undergo reflection during transmission. Specifically, the transmission model is obtained through the following relationship:

[0066] P AUT =P Probe G probe G AUT (λ / 4πd) 2

[0067] Among them, P AUT P represents the received power of the antenna under test. Probe G represents the transmitter power of the probe. AUT G represents the gain of the antenna under test. probe d represents the gain of the probe, and d represents the distance between the antenna under test and the probe.

[0068] Signal insertion loss refers to the loss of energy or gain when certain devices or branch circuits (filters, impedance matching devices, etc.) are added to a circuit. Here, it refers to the amount of signal loss of the electromagnetic wave transmitted by the probe that does not reach the antenna under test without reflection. Specifically, the signal insertion loss model of the direct wave is obtained through the following relationship:

[0069]

[0070] S11: Based on the angle parameter, reflectivity parameter, and the signal insertion loss model of the direct wave, construct the signal insertion loss model of the reflected wave between the antenna under test and the probe; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material.

[0071] In the specific implementation process, such as Figure 3As shown, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test. The gain of the antenna under test and the probe is related to the directional angle, and the gain is not the same in all directions. The reflectivity parameter is the reflectivity parameter of the electromagnetic wave after it is incident on the absorbing material, that is, the incident angle or reflection angle of the electromagnetic wave on the reflecting surface. The signal insertion loss of the reflected wave between the antenna under test and the probe refers to the amount of signal loss of the electromagnetic wave sent by the probe after reflection to the antenna under test. Specifically, the signal insertion loss model of the reflected wave is obtained through the following relationship:

[0072]

[0073] Where λ represents the wavelength of the electromagnetic wave.

[0074] S12: Based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave, construct a ratio model of the reflected wave to the direct wave.

[0075] In practical implementation, the ratio model of the reflected wave to the direct wave is the interference introduced by the reflection from the reflecting surface. The ratio model of the reflected wave to the direct wave is obtained through the following relationship:

[0076]

[0077] in, This represents the signal insertion loss model for direct waves. The signal insertion loss model for the reflected wave is represented by d. R d represents the distance an electromagnetic wave travels from the probe, after one reflection by the absorbing material, to the antenna under test. D G represents the straight-line distance between the antenna under test and the probe. Γ(φ) represents the reflectivity of the electromagnetic wave incident on the absorbing material at an incident angle φ. This reflectivity value differs from the traditional calculation based on the material's electromagnetic parameters; it is obtained according to specific environmental parameters during the experiment. probe (θ”) represents the gain of the probe in the θ” angular direction; G represents the gain in the θ' direction when the electromagnetic wave reaches the antenna under test after one reflection; probe (θ”=0) represents the gain in the probe's line-of-sight direction; This represents the gain in the direction of the antenna under test when electromagnetic waves directly reach it.

[0078] S13: Based on the measurement results without site reflection and the ratio model, obtain the measurement results with site reflection.

[0079] In practical implementation, the measurement result without site reflection refers to the result of the electromagnetic wave being measured directly without reflection, which can be obtained using existing technology. The measurement result with site reflection refers to the result of the electromagnetic wave being measured directly after reflection. Specifically, the measurement result with site reflection is obtained through the following relationship:

[0080] S' 21 =S 21 (θ,φ)×(1+ε absrb )

[0081] Among them, S' 21 S represents the measurement result after reflection from the site. 21 The measurement results are without site reflection, where φ represents the incident angle of the electromagnetic wave, θ represents the angle of the probe, and ε... absrb This represents a ratio model.

[0082] S14: Based on the measurement results without site reflection and the measurement results with site reflection, obtain the uncertainty component; wherein the uncertainty component is the uncertainty component introduced by site reflection.

[0083] In the specific implementation process, in order to obtain the uncertainty components more intuitively and conveniently, such as Figure 4 As shown, step S14 specifically includes the following steps:

[0084] S141: Obtain the far-field radiation pattern of the measurement results without field reflection and the far-field radiation pattern of the measurement results with field reflection.

[0085] In the specific implementation process, the measurement results without field reflection are used to generate a corresponding far-field radiation pattern, and the measurement results with field reflection are used to generate a corresponding far-field radiation pattern. The far-field radiation pattern is a pattern commonly used by those skilled in the art, and the method for generating the far-field radiation pattern is also known to those skilled in the art.

[0086] S142: Based on the far-field radiation pattern of the measurement results without site reflection and the far-field radiation pattern of the measurement results with site reflection, obtain the uncertainty component.

[0087] In practice, uncertainty components can be obtained more intuitively, conveniently, and accurately based on the corresponding far-field pattern.

[0088] In summary, this application introduces an angle parameter into the gain of the probe and the antenna under test, and an absorbing material reflectivity parameter into the site reflection. The introduced absorbing material reflectivity is obtained from experimental testing. Using Friis's transmission formula and a self-comparison method, the interference introduced by reflection from the wall covered with absorbing material is calculated, resulting in a ratio model before and after the introduction of interference. Specifically, when determining the site scattering uncertainty using this method, the signal insertion loss of the direct wave without reflection is first obtained, followed by the signal insertion loss of the reflected wave. The signal insertion loss of the direct wave can be directly obtained, while the signal insertion loss of the reflected wave considers the actual angles of the antenna under test, the probe, and the reflectivity of the electromagnetic wave reflected from the absorbing material. Then, a ratio model is obtained by comparing the signal insertion loss of the reflected wave with that of the direct wave. Based on the measurement results without site reflection and the ratio model, the measurement results with site reflection are obtained. The measurement results without site reflection can be obtained directly. Finally, the uncertainty component of site scattering is obtained using both the measurement results without and with site reflection. That is, the technical solution of this application, by introducing the angle parameters of the antenna under test, the angle parameters of the probe, and the reflectivity parameters of the absorbing material, better reflects the actual propagation of electromagnetic waves. Therefore, when testing the uncertainty component of electromagnetic waves, not only the distance between the antenna under test and the probe is considered, but also the angle parameters of the antenna under test, the angle of the probe, and the reflectivity of the absorbing material during the actual propagation of the electromagnetic wave. Thus, when determining the uncertainty of site scattering using this method, more factors affecting the uncertainty component are taken into account. The model constructed based on considering more factors in the actual propagation process of electromagnetic waves can more accurately test the uncertainty component of electromagnetic wave site scattering. Based on more accurate uncertainty components of electromagnetic wave field scattering, the accuracy of antenna measurements can be greatly improved.

[0089] To verify the effectiveness of this method, a specific example is given below.

[0090] According to the above analysis method, open waveguides are used as array elements, and an array antenna composed of 6 array elements is used for simulation analysis. The 6 X-band open waveguides are arranged in a linear array in the E-plane direction, with adjacent waveguides spaced 31.25mm apart. The dimensions of the open waveguides are 22.86mm*10.16mm*40mm.

[0091] The spherical near-field method was used to analyze the impact of site scattering on the measurement results. The spherical near-field data acquisition information is as follows:

[0092] Near-field radius of the sphere: R = 1.5m

[0093] Application range: azimuth 0~360°, sampling rate

[0094] Polarization angle: θ: 0~180°, sampling rate N θ =64.

[0095] Under the above conditions, the effective far-field angle range is: θ = 0 to 168°.

[0096] First, assuming no site reflection and neglecting other factors, i.e., under ideal conditions, the obtained near-field data image is as follows: Figures 5-6 As shown.

[0097] Figures 5-6 In the figure, FF represents the far-field radiation pattern of the array antenna obtained directly from software simulation using the method of moments, and SNF represents the far-field antenna radiation pattern obtained using the spherical near-field-far-field measurement method. As can be seen from the figure, within the range of -100° to +100°, the difference is much less than 1 except at the zero point. That is, under ideal conditions, the error introduced by the spherical near-field-far-field transformation algorithm is very small.

[0098] Secondly, based on the above analysis method, site scattering was introduced, and the results are as follows: Figures 7-8 As shown in the figure. Here, SNF represents the radiation pattern of the far-field antenna obtained using a spherical near-field-far-field measurement method after introducing site scattering.

[0099] Comparative analysis reveals that site scattering has the greatest impact on the null depth (difference beam null depth), altering not only its magnitude but also its location. Furthermore, site scattering generally results in excessively high antenna sidelobe levels; even under a reflectivity of -24 dB, the impact on sidelobe levels is significant. Therefore, uncertainty analysis of site scattering is crucial during antenna pattern measurement and also provides a reference for error analysis in antenna measurements.

[0100] In another embodiment, such as Figure 9 As shown, based on the same inventive concept as the foregoing embodiments, embodiments of this application also provide a warehousing logistics distribution route planning device, which includes:

[0101] The acquisition module is used to acquire the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Fries transmission formula and the transmission model; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; and the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection.

[0102] The first model is used to construct a signal insertion loss model of the reflected wave between the antenna under test and the probe based on the angle parameter, the reflectivity parameter, and the signal insertion loss model of the direct wave; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material;

[0103] The second model is used to construct a ratio model between the reflected wave and the direct wave based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave.

[0104] The first obtaining module is used to obtain the measurement results with site reflection based on the measurement results without site reflection and the ratio model;

[0105] The second obtaining module is used to obtain an uncertainty component based on the measurement results without site reflection and the measurement results with site reflection; wherein the uncertainty component is an uncertainty component introduced by site reflection.

[0106] It should be noted that each module in the site scattering uncertainty simulation model construction device in this embodiment corresponds one-to-one with each step in the site scattering uncertainty simulation model construction method in the aforementioned embodiment. Therefore, the specific implementation method and the technical effects achieved in this embodiment can be referred to the implementation method of the aforementioned site scattering uncertainty simulation model construction method, and will not be repeated here.

[0107] Furthermore, in one embodiment, this application also provides a computer device, the computer device including a processor, a memory, and a computer program stored in the memory, the computer program being executed by the processor to implement the methods in the foregoing embodiments.

[0108] In addition, in one embodiment, this application also provides a computer storage medium storing a computer program that is executed by a processor to implement the methods described in the foregoing embodiments.

[0109] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The computer may be a variety of computing devices, including smart terminals and servers.

[0110] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0111] As an example, executable instructions may, but do not necessarily, correspond to files in a file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborating files (e.g., a file that stores one or more modules, subroutines, or code sections).

[0112] As an example, executable instructions can be deployed to execute on a single computing device, or on multiple computing devices located in one location, or on multiple computing devices distributed across multiple locations and interconnected via a communication network.

[0113] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0114] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0115] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a multimedia terminal device (which may be a mobile phone, computer, television receiver, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0116] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for constructing a simulation model for site scattering uncertainty, characterized in that, The method includes: Based on the Friesian transmission formula and transmission model, a signal insertion loss model for the direct wave between the antenna under test and the probe is obtained; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection. Based on the angle parameter, reflectivity parameter, and the signal insertion loss model of the direct wave, a signal insertion loss model of the reflected wave between the antenna under test and the probe is constructed; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material; Based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave, a ratio model of the reflected wave to the direct wave is constructed. Based on the measurement results without site reflection and the ratio model, the measurement results with site reflection are obtained; Based on the measurement results without site reflection and the measurement results with site reflection, an uncertainty component is obtained; wherein, the uncertainty component is the uncertainty component introduced by site reflection.

2. The method for constructing a simulation model for site scattering uncertainty as described in claim 1, characterized in that, The determination of uncertainty components based on the measurement results without site reflection and the measurement results with site reflection includes: Obtain the far-field radiation pattern of the measurement results without field reflection and the far-field radiation pattern of the measurement results with field reflection; The uncertainty component is obtained based on the far-field radiation pattern of the measurement results without site reflection and the far-field radiation pattern of the measurement results with site reflection.

3. The method for constructing a simulation model for site scattering uncertainty as described in claim 1, characterized in that, The process of obtaining measurement results with site reflection based on the measurement results without site reflection and the ratio model includes: The measurement results after reflection from the site are obtained using the following relationship: S' 21 =S 21 (θ,φ)×(1+ε absrb ) Among them, S' 21 S represents the measurement result after reflection from the site. 21 The measurement results are without site reflection, where φ represents the incident angle of the electromagnetic wave, θ represents the angle of the probe, and ε... absrb This represents a ratio model.

4. The method for constructing a simulation model for site scattering uncertainty as described in claim 3, characterized in that, The construction of the ratio model between the reflected wave and the direct wave, based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave, includes: The ratio model of the reflected wave to the direct wave can be obtained through the following relationship: in, This represents the signal insertion loss model for direct waves. The signal insertion loss model for the reflected wave is represented by d. R d represents the distance an electromagnetic wave travels from the probe, after one reflection by the absorbing material, to the antenna under test. D Γ(φ) represents the straight-line distance between the antenna under test and the probe, Γ(φ) represents the reflectivity of the electromagnetic wave after it is incident on the absorbing material at an angle φ, and G represents the reflectivity of the electromagnetic wave. probe (θ”) represents the gain of the probe in the θ” angular direction; G represents the gain in the θ' direction when the electromagnetic wave reaches the antenna under test after one reflection; probe (θ”=0) represents the gain in the probe's line-of-sight direction; This represents the gain in the direction of the antenna under test when electromagnetic waves directly reach it.

5. The method for constructing a simulation model for site scattering uncertainty as described in claim 4, characterized in that, The method for constructing a signal insertion loss model for the reflected wave between the antenna under test and the probe, based on angle parameters, reflectivity parameters, and the signal insertion loss model of the direct wave, includes: The signal insertion loss model of the reflected wave is obtained through the following relationship: Where λ represents the wavelength of the electromagnetic wave.

6. The method for constructing a simulation model for site scattering uncertainty as described in claim 4, characterized in that, The method for obtaining the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Friesian transmission formula and transmission model includes: The signal insertion loss model of the direct wave is obtained through the following relationship:

7. The method for constructing a simulation model for site scattering uncertainty as described in claim 5 or 6, characterized in that, The method for obtaining the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Friesian transmission formula and transmission model includes: The transmission model is obtained through the following relationship: P AUT =P Probe G probe G AUT (λ4πd) 2 Among them, P AUT P represents the received power of the antenna under test. Probe G represents the transmitter power of the probe. AUT G represents the gain of the antenna under test. probe d represents the gain of the probe, and d represents the distance between the antenna under test and the probe.

8. A device for constructing a simulation model of site scattering uncertainty, characterized in that, The device includes: The acquisition module is used to acquire the signal insertion loss model of the direct wave between the antenna under test and the probe based on the Fries transmission formula and the transmission model; wherein, the antenna under test is used to receive electromagnetic waves, the probe is used to transmit electromagnetic waves, the direct wave is the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection; and the transmission model is the transmission model of the power of the electromagnetic wave that arrives directly from the probe to the antenna under test without reflection. The first model is used to construct a signal insertion loss model of the reflected wave between the antenna under test and the probe based on the angle parameter, the reflectivity parameter, and the signal insertion loss model of the direct wave; wherein, the angle parameter is the angle parameter introduced into the gain of the probe and the antenna under test, and the reflectivity parameter is the reflectivity parameter after the electromagnetic wave is incident on the absorbing material; The second construction model is used to construct a ratio model of the reflected wave to the direct wave based on the signal insertion loss model of the direct wave and the signal insertion loss model of the reflected wave. The first obtaining module is used to obtain the measurement results with site reflection based on the measurement results without site reflection and the ratio model; The second obtaining module is used to obtain an uncertainty component based on the measurement results without site reflection and the measurement results with site reflection; wherein the uncertainty component is an uncertainty component introduced by site reflection.

9. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores a computer program and the processor executes the computer program to implement the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the method as described in any one of claims 1-7.

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