Wireless channel modeling method and device, computer equipment, computer readable storage medium and computer program product

Abstract

The invention relates to a wireless channel modeling method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a transmitting and receiving point position of a target signal and obstacle information in a target environment; determining a candidate action area for the target signal in the target environment according to the obstacle information; performing mirror image mapping on the transmitting and receiving point position according to the position of the candidate action area to obtain a transmitting and receiving point mirror image position corresponding to the target signal; according to a geometrical relationship between a connection line between the mirror image positions of the transmitting and receiving points and the candidate action area, determining information of action points having transmission path influence effects on the target signal in the candidate action area; and constructing a transmission path of the target signal in the target environment according to the information of the action point. By adopting the method, the accuracy of signal channel modeling of 5G signals in complex environments such as a transformer substation can be improved.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a wireless channel modeling method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] Channel modeling refers to the mathematical or simulation description of the communication signal transmission environment, used to analyze the channel characteristics (such as attenuation, delay, interference, etc.) of wireless / wired communication systems.

[0003] In related technologies, non-geometric statistical modeling or geometric statistical modeling is generally used for wireless channel modeling. However, when modeling signal transmission channels in complex environments such as substations, these approaches suffer from at least the following problems: Firstly, obtaining channel parameters manually in complex environments is time-consuming and labor-intensive, and data from some equipment areas is difficult to measure. Secondly, geometric channel models obtained by fitting only partial data lack universality. Thirdly, complex environments such as substations are difficult to characterize with geometric models of channel distribution. Therefore, non-geometric modeling methods and geometric stochastic modeling methods are insufficient for channel modeling in complex environments such as substations.

[0004] Therefore, a more accurate wireless channel modeling scheme is needed for complex environments such as substations. Summary of the Invention

[0005] Therefore, it is necessary to provide a wireless channel modeling method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can improve the accuracy of wireless channel modeling in complex environments such as substations, in response to the above-mentioned technical problems.

[0006] In a first aspect, this application provides a wireless channel modeling method, including:

[0007] Acquire the location of the target signal's transmission and reception points, as well as obstacle information in the target environment;

[0008] Based on the obstacle information, a candidate region of action for the target signal in the target environment is determined;

[0009] Based on the location of the candidate action area, the transceiver point location is mirrored to obtain the mirrored transceiver point location corresponding to the target signal;

[0010] Based on the geometric relationship between the line connecting the mirrored positions of the transceiver points and the candidate action area, information on the action points in the candidate action area that have a transmission path influence on the target signal is determined;

[0011] Based on the information of the point of action, the transmission path of the target signal in the target environment is constructed.

[0012] In one embodiment, the transceiver location includes the transmitting point location and the receiving point location; the candidate action area includes multiple obstacle surfaces in the target environment; the action point includes a reflection point; the process of determining the information of the reflection point includes:

[0013] Determine a first mirror image position of the launch point relative to a first surface and a second mirror image position of the receiver point relative to a second surface; wherein the first surface and the second surface are any two different from the plurality of obstacle surfaces;

[0014] Based on the intersection of the line connecting the first mirror position and the second mirror position with the plurality of candidate action areas, the target reflection surface of the target signal in the target environment is determined from the surfaces of the plurality of obstacles;

[0015] The information of the reflection point is determined based on the relative positional relationship between the emission point location, the receiving point location, and the target reflective surface.

[0016] In one embodiment, the candidate action area includes multiple obstacle edges in the target environment; the transceiver point location includes the transmitter point location and the receiver point location; the action point includes a diffraction point; the process of determining the information of the diffraction point includes:

[0017] The diffraction point of the target signal in the target environment is determined from the candidate point set; wherein the first line connecting the diffraction point and the position of the transmitting point and the second line connecting the diffraction point and the position of the receiving point are symmetrical with respect to the edge of the target obstacle where the diffraction point is located; the candidate point set is a set of points on the edges of multiple obstacles.

[0018] In one embodiment, the candidate action area includes multiple obstacle surfaces in the target environment; the action point includes a diffraction reflection point; the process of determining the information of the diffraction reflection point includes:

[0019] The diffracted reflection point is determined based on the intersection of the second line with the surfaces of the plurality of obstacles; wherein, the diffracted reflection point is the unique intersection of the line segment between the launch point position and the receiver position with the surface of the obstacle where the diffracted reflection point is located; the diffracted point is the unique intersection of the line segment between the launch point position and the receiver position with the edge of the obstacle where the diffracted point is located.

[0020] In one embodiment, the information of the point of action includes the location of the point of action and the type of action; the method further includes:

[0021] If the action type represents a non-direct type, the action path length corresponding to the action point and the incident / exit angle of the signal relative to the action point are calculated based on the relative positional relationship between the action point position and the transceiver position.

[0022] The field strength information of the target signal at the point of action is determined by calculating the length of the action path and the incident and exit angles.

[0023] Based on the field strength information of the target signal at the point of application, the path loss of the target signal in the target environment is determined.

[0024] In one embodiment, the method further includes:

[0025] Determine the mapping relationship between the location of the transceiver point and the path loss;

[0026] The positions of the transmit and receive points of the target signal are adjusted according to the mapping relationship.

[0027] Secondly, this application also provides a wireless channel modeling apparatus, the apparatus comprising:

[0028] The acquisition module is used to acquire the location of the target signal's transmission and reception points, as well as obstacle information in the target environment;

[0029] The first determining module is used to determine, based on the obstacle information, a candidate region of action for the target signal in the target environment;

[0030] The mapping module is used to mirror the position of the transceiver point according to the position of the candidate action area to obtain the mirror position of the transceiver point corresponding to the target signal;

[0031] The second determining module is used to determine the information of the action points in the candidate action area that have a transmission path influence effect on the target signal based on the geometric relationship between the line connecting the mirror positions of the transceiver points and the candidate action area;

[0032] A construction module is used to construct the transmission path of the target signal in the target environment based on the information of the point of action.

[0033] Thirdly, this application also 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 method as described in any of the embodiments of the first aspect above.

[0034] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any of the embodiments of the first aspect above.

[0035] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the embodiments of the first aspect described above.

[0036] The aforementioned wireless channel modeling method, apparatus, computer equipment, computer-readable storage medium, and computer program product acquire the transceiver locations of a target signal and obstacle information in the target environment; determine candidate areas of influence for the target signal in the target environment based on the obstacle information; mirror the transceiver locations based on the locations of the candidate areas of influence to obtain mirrored locations of the transceiver points corresponding to the target signal; determine information on points in the candidate areas of influence that affect the transmission path of the target signal based on the geometric relationship between the lines connecting the mirrored locations of the transceiver points and the candidate areas of influence; and construct the transmission path of the target signal in the target environment based on the information of the points of influence. This invention is based on a reverse ray tracing algorithm. By mirroring the positions of the transmitting and receiving points, the position of the mirrored virtual source is obtained. Then, based on the geometric relationship between the mirrored virtual source and the candidate action area corresponding to obstacles in the target environment, the mirror point and the reflected ray are determined. This allows for the determination of all possible ray propagation paths between the transmitting and receiving points. This enables accurate simulation of the transmission channel of signals such as 5G signals in environments with complex obstacle conditions, such as substations. It also provides accurate support for calculating signal transmission path loss and optimizing signal transmission channels. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 This is a flowchart illustrating a wireless channel modeling method in one embodiment;

[0039] Figure 2 This is a schematic diagram of a signal path where reflection occurs in one embodiment;

[0040] Figure 3 This is a schematic diagram of the path of a target signal in a two-dimensional plane target environment in one embodiment;

[0041] Figure 4 This is a schematic diagram illustrating the path of a target signal that undergoes multiple reflections in the target environment, as shown in one embodiment.

[0042] Figure 5 This is a schematic diagram illustrating the path of a target signal in the target environment, including reflection and diffraction, in one embodiment.

[0043] Figure 6 This is a schematic diagram showing a comparison between the calculation accuracy of the path loss of the target signal in one embodiment and the calculation accuracy of related techniques.

[0044] Figure 7 This is a schematic diagram illustrating the effect of the height of the signal receiving point on path loss in one embodiment.

[0045] Figure 8 This is a schematic diagram illustrating the relationship between the height of a signal receiving point located in the first height range and path loss in one embodiment.

[0046] Figure 9 This is a schematic diagram illustrating the relationship between the height of a signal receiving point located in the second height range and path loss in one embodiment.

[0047] Figure 10 This is a structural block diagram of a wireless channel modeling device in one embodiment;

[0048] Figure 11 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0049] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0050] Before describing the embodiments of the present invention, the related technologies and their problems will be explained:

[0051] With the construction of the ubiquitous power Internet of Things (IoT) combining 5G communication technology with smart substations, the transmission of substation protection and detection signals has shifted from traditional wired transmission to 5G wireless transmission. With the development of artificial intelligence, the advancement of smart grids, signifying the integration of energy and electricity, is an inevitable trend. In promoting the construction of smart grids, smart substations have become a key element of this transformation. Wireless communication technology is a crucial support for ensuring the efficient and safe operation of smart substations, and its performance directly depends on the accurate analysis and optimization of the wireless channels within the substation.

[0052] Therefore, establishing an accurate wireless channel model for smart substations is of great significance. Specifically, modeling the wireless channel for 5G signals within a substation is crucial for reliable data transmission.

[0053] In related technologies, wireless channel modeling methods can include non-geometric statistical modeling and geometric statistical modeling. Non-geometric statistical modeling does not delve into the specific propagation path of radio waves, but only considers the actual power of the receiving antenna. Channel parameters are extracted from a large amount of receiver power measurement data using mathematical statistics. Geometric statistical modeling defines a specific geometric shape for the scattering surface, and given the initial positions and velocities of the transmitting and receiving antennas, it traces each electromagnetic wave path, calculates the geometric lengths of the direct and reflected paths, obtains the power of the signal propagating through each path, and then superimposes this power onto the receiving antenna to obtain the total received power.

[0054] However, when the aforementioned non-geometric statistical modeling and geometric statistical modeling schemes are applied to modeling the transmission channels of 5G signals within substations, at least the following problems exist: Firstly, due to the dense and complex distribution of metal equipment within substations, obtaining channel parameters through manual measurement is time-consuming and labor-intensive, and data for some equipment areas is difficult to measure. Channel models obtained by fitting only partial data lack universality. Secondly, the metal equipment within substations varies in size and shape and is unevenly distributed, making it difficult to characterize the channel distribution within the substation using geometric models. Therefore, non-geometric modeling methods and geometric stochastic modeling methods are insufficient for substation channel modeling.

[0055] Considering that electromagnetic waves and other target signals have longer paths after multiple reflections, the electromagnetic waves arriving at the receiving point will experience varying degrees of time delay, leading to different levels of fading within a certain frequency range. Furthermore, the amplitude of the electromagnetic wave field strength propagation in space is inversely proportional to distance; path loss increases with distance. In addition, electromagnetic waves and other target signals also experience loss during propagation due to reflection and diffraction. Therefore, accurate modeling of 5G signal channels within substations requires knowledge of each propagation path, such as the number of reflections, path length, and angle of arrival. Thus, a more precise modeling scheme is needed for 5G signal transmission channels in complex environments such as substations.

[0056] In one exemplary embodiment, such as Figure 1 As shown, a wireless channel modeling method is provided, which is illustrated by applying the method to a preset computer processing device, including the following steps 202 to 206:

[0057] Step 202: Obtain the location of the target signal's transmission and reception points and information about obstacles in the target environment.

[0058] The target signal is the signal to be transmitted, and its type can include light waves, electromagnetic waves, etc., which are not limited in this embodiment of the invention. The target environment is the transmission environment of the target signal, such as the interior of a substation. The location of the target signal's transmission and receiving points includes the location of the receiving end and the location of the transmitting end in the target signal.

[0059] Obstacles are objects that affect the transmission of target signals. This influence can occur through optical, electromagnetic, or other means. Obstacle information refers to parameters that characterize the impact of obstacles on the target signal, such as the obstacle's location, material properties, and geometric attributes. Taking a 5G signal as the target signal and a substation as the target environment, because 5G electromagnetic waves have a high frequency and short wavelength, their propagation path in free space can be approximated as a straight line. However, a 5G substation contains numerous metal scattering structures, causing multiple reflections and diffractions of electromagnetic waves as they pass through these complex scattering environments. Therefore, obstacle information within the substation can include information about metal equipment in the target environment that affects 5G signal transmission (causing 5G signal reflection and diffraction), such as the number of metal devices, their distribution, and the positions of their surfaces and edges. It is understood that a 5G signal can be reflected at a single point on the surface of a metal device, and when multiple surfaces exist, the 5G signal can be reflected multiple times. Correspondingly, a 5G signal can diffract at the edges (such as corners) of the metal device. Optionally, 5G signals can also be reflected and diffracted sequentially, such as diffraction after reflection, or reflection after diffraction. When there are no obstructions, 5G signals can be transmitted directly in the substation, meaning there is no contact point between the signal and obstacles in the substation.

[0060] Understandably, depending on the signal type and transmission method of the target signal, there may be objects in the target environment that have no impact on the transmission of the target signal or whose impact is negligible. For example, the influence of air in the target environment on the transmission of target signals such as 5G signals is negligible. Therefore, objects in the target environment can be screened to identify those whose impact on the transmission of the target signal is greater than a preset threshold as obstacles, thereby simplifying the calculation of the transmission channel modeling of the target signal in the target environment in subsequent steps. The screening of objects in the target environment can be based on the object's type (such as geometric model type, material type) and the signal type of the target signal. For example, metal devices that affect electromagnetic wave signals such as 5G signals should be screened as obstacles.

[0061] Step 204: Determine the candidate effective area for the target signal in the target environment based on the obstacle information.

[0062] The candidate impact region refers to the area in the target environment that may affect the transmission of the target signal, such as the area that the transmission path of the target signal may traverse. Specifically, the candidate impact region can be the surface and / or edge of an obstacle in the target environment. Therefore, obstacle information can be analyzed to obtain information about the surfaces and / or edges of the obstacles included in the target environment. Considering that the transmission path of the target signal in the target environment can be decomposed into multiple points that the target signal passes through (contacts) in the target environment, the candidate impact region can include a set of points on the surface and / or edge of obstacles in the target environment.

[0063] Step 206: Mirror the transceiver point position according to the position of the candidate action area to obtain the mirror position of the transceiver point corresponding to the target signal.

[0064] In order to improve the simulation accuracy of the wireless channel for the target signal, this invention adopts a geometric deterministic modeling method, which is different from the traditional non-geometric modeling method and geometric stochastic modeling method. It uses the specific geographical and morphological information of the propagation environment and analyzes and predicts the wireless propagation model based on electromagnetic wave propagation theory or optical ray theory.

[0065] Specifically, considering the propagation characteristics of 5G signals and substations, this embodiment of the invention adopts a ray tracing-based approach to determine the wireless channel of the target signal in the target environment. Before describing the ray tracing-based wireless channel modeling scheme, the geometric optics theory upon which ray tracing is based will be explained.

[0066] Geometric optics theory is a theory that approximates the propagation of electromagnetic waves in space. Accurately describing the propagation and distribution of electromagnetic waves in any environment is a complex problem. This requires solving the wave equation or Maxwell's equations under given boundary conditions, a computationally intensive and complex task. Therefore, approximate simulation methods are needed to control the computational complexity within a practically meaningful range. With increasingly higher communication frequencies, the wavelengths of electromagnetic waves are also becoming shorter, typically on the order of centimeters. This results in the "local" characteristic of electromagnetic wave propagation; that is, the electromagnetic field distribution in the neighborhood of a given receiving point depends only on a portion of the field distribution, not on the initial field distribution. The transmission of the signal's electromagnetic field from the transmitting point to the receiving point occurs continuously within a finite space around the propagation trajectory. The ray path in geometric optics describes and predicts this propagation trajectory. Geometric optics theory studies ray propagation and is theoretically applicable when the electromagnetic wavelength is approximately zero. When the wavelength of the electromagnetic signal is sufficiently short, changes in the medium in space need to be manifested on scales much larger than the wavelength. In this case, the method of approximating electromagnetic wave propagation by simulating rays becomes reasonable. Geometric optics theory uses the concept of rays to describe the propagation of electromagnetic waves. It is characterized by simple calculation and clear physical concepts, and can accurately calculate and distinguish between direct, reflected, and transmitted fields. However, it cannot calculate and analyze diffracted fields.

[0067] Taking the target signal as an electromagnetic wave signal as an example, the propagation process of the target signal in free space is explained:

[0068] The simplest form of electromagnetic wave propagation is in free space. In reality, an environment consisting only of air is generally considered as homogeneous, lossless free space, meaning it is considered to have isotropic characteristics. According to Fermat's principle, electromagnetic rays will propagate along a steady-state path with an extreme optical path length. This determines the propagation path and trajectory of electromagnetic rays, and also determines that electromagnetic waves do not undergo diffraction, reflection, or scattering in free space; only the loss caused by spherical diffusion of electromagnetic waves needs to be considered. For the propagation loss in free space, let the transmitting power at the transmitting end be... The receiving power of the receiving end is Then the received power can be expressed as:

[0069] ;

[0070] ;

[0071] ;

[0072] in, , These are the antenna gains of the transmitting and receiving antennas, respectively. , These are the effective cross-sectional areas of the transmitting and receiving antennas, respectively. The wavelength of electromagnetic waves, Let be the distance between the transmitting and receiving antennas. Propagation loss is defined as the ratio of transmit power to receive power. Therefore, when... , When both are 1, the loss for: .

[0073] It is evident that for propagation in free space, the propagation loss ratio increases with the square of the propagation distance, with most of the energy being lost due to the spherical diffusion of radio electromagnetic waves. Furthermore, theoretically, propagation loss in air would be greater than in free space, but in practice, the difference is generally small and negligible. Moreover, the specific magnitude of this difference varies with uncontrollable factors such as air quality and humidity, making it difficult to predict. Therefore, propagation in air is generally considered to be the same as propagation in free space.

[0074] Based on this, the possible reflections of the target signal in the target environment can be as follows:

[0075] During the propagation of radio electromagnetic waves, if they encounter an obstacle much larger than their wavelength, reflection and transmission will occur simultaneously at the interface between the original propagation medium and the obstacle. The reflected portion of the electromagnetic wave will change its propagation direction and continue propagating in the original medium, while the transmitted portion's energy will propagate into the obstacle. For an ideal reflector, radio electromagnetic waves will undergo total internal reflection at its surface without transmission. For an ideal dielectric, however, radio electromagnetic waves will undergo both reflection and transmission. The specific propagation direction and amplitude of the reflected and transmitted plane waves are determined by the boundary conditions at the interface, which require that the tangential component of the electric field E and the total magnetic field H be continuous on both sides of the boundary surface. Specifically, this can be described as follows: Figure 1 As shown.

[0076] According to Snell's law of refraction, we have:

[0077] ;

[0078] in: , , These are the angle of incidence, the angle of reflection, and the angle of transmission, respectively. Let be the dielectric constant of the obstacle. To determine the amplitude of the reflected wave, the two possible polarizations of the incident plane wave need to be considered separately. One polarization involves an electric field transverse to the incident surface, where the incident surface is defined as the plane formed by the perpendicular line of the interface and the incident wave vector; this is called horizontal polarization. The other polarization involves a magnetic field transverse to the incident surface; this is called vertical polarization. The electric field reflection coefficients for horizontal and vertical polarization can be obtained as follows:

[0079]

[0080] In geometrical optics, only the direct incidence, reflection, and refraction of electromagnetic waves are calculated and analyzed. However, in this embodiment of the invention, it is considered that when electromagnetic waves encounter discontinuous objects, such as edges or wedges, shadow regions are created where electromagnetic waves cannot directly penetrate. According to Geometrical Optics (GO) theory, the field strength in these shadow regions should be zero. However, this is not actually the case; this is a result of electromagnetic wave diffraction. In wireless channel modeling using ray tracing technology, diffraction must be considered in both indoor and outdoor scenarios, especially in shadow regions where direct rays cannot reach. Huygens' principle can explain the occurrence of diffraction: any point on the wavefront can serve as a source point for secondary waves, which synthesize in the propagation direction to generate new wavefronts. Diffraction can occur at different edges and planes. The propagation of secondary waves into shadow regions constitutes diffraction.

[0081] The simplified formula for calculating the diffraction coefficient can be as follows:

[0082] ;

[0083] in, , and The units are all radians. Where D is the diffraction coefficient. It is the product of the wavenumber of the ray and the square root of the dielectric constant of the diffracting material.

[0084] Based on the explanation of geometric optics theory, the ray tracing technology used in the embodiments of this invention is described as follows: Ray tracing technology uses simulated ray propagation to determine the reflection, transmission, and diffraction of radio waves. By tracing all rays emitted from the source and determining their propagation paths, the propagation characteristics of the wireless channel in the scene can be calculated. Ray tracing technology generally requires obtaining the specific geometric and electromagnetic information of the simulated scene first. Reflection, transmission, and diffraction phenomena mainly occur during ray tracing; scattering, due to its more complex modeling, is generally used as a separate module to correct the ray tracing simulation results. The ray tracing process mainly involves tracing all rays emitted from the source. During the tracing process, the reflection, transmission, and diffraction of rays by various obstacles in the scene need to be considered. Ultimately, all feasible paths from the transmitter to the receiver are found, and the information carried by the arriving rays is statistically analyzed to complete the modeling of the wireless channel characteristics. Ray tracing algorithms can be divided into two main categories: forward algorithms and backward algorithms.

[0085] Among them, the ray-bouncing method is a representative of forward ray tracing algorithms. The basic principle of the SBR (Shooting and Bouncing Rays) method includes: First, a large number of rays are emitted in all directions from the transmitting antenna. Each ray is tracked to determine whether it hits any object or is captured by the receiving antenna. If the ray hits any object, it will produce reflection, transmission, diffraction, or scattering phenomena. The specific phenomenon depends on the object's geometry, the encounter location, and the object's electromagnetic parameters. If the ray is captured by the receiving antenna, it is considered received, and its electric field strength or power at the receiving point is calculated. If it is not captured by the receiving antenna, the ray continues to be tracked until its field strength decays to a negligible level. This process is repeated until all emitted rays are tracked.

[0086] Forward propagation algorithms are similar to the propagation of light in the real world: from the light source to the object and then to the eye. However, considering that millions of light rays (signals) may be emitted from the light source (signal source), and that a large amount of the signal in the real environment fails to reach the receiver due to obstruction and loss, forward propagation algorithms suffer from low computational efficiency.

[0087] Correspondingly, the reverse ray tracing algorithm starts from the camera / pixel, emits rays in reverse (line of sight), and traces the path of the rays in the scene until a light source is found or the path terminates (exceeding the maximum number of bounces). Since the reverse algorithm only calculates paths that contribute to the receiver, avoiding useless rays, and can be directly optimized for the receiving antenna position, it is more suitable for multipath channel simulations such as 5G substation scenarios. Therefore, in this embodiment of the invention, the reverse algorithm is used to trace all transmission paths of the target signal in the target environment. Specifically, the reverse ray tracing algorithm can include the mirror method, which is an algorithm based on analytical geometry theory, the law of reflection, and the law of refraction. Its basic principle is that, according to the uniqueness theorem and physical optics theory, reflected rays can be determined by finding mirror points. By repeatedly determining the mirror points and reflected rays, all possible ray propagation paths between the emission point and the receiving point can be determined. Therefore, this method is called the reverse ray tracing method.

[0088] In this embodiment of the invention, the transceiver position of the target signal can be mirrored relative to the candidate effective region to obtain the mirrored position corresponding to the transceiver position of the target signal, which is then used as the mirrored position of the transceiver position of the target signal. It should be noted that the mirror surface used for mirroring can be any plane within the candidate effective region. It is understood that the same or different planes can be selected for mirroring the transceiver position and the receiver position of the target signal. For example, a first plane of a first obstacle can be selected within the candidate effective region as the mirror surface for mirroring the transceiver position of the target signal, and a second plane of a second obstacle can be selected within the candidate effective region as the mirror surface for mirroring the receiver position of the target signal. The first plane and the second plane can be different.

[0089] Step 208: Based on the geometric relationship between the line connecting the mirrored positions of the transceiver points and the candidate action area, determine the information of the action points in the candidate action area that have a transmission path influence on the target signal.

[0090] The geometric relationship includes the relative positional relationship between the line connecting the mirrored positions of the transmitter and receiver and the candidate action area, such as angle information, intersection information, and distance information. Based on the previous explanation of the reverse ray tracing method, the line connecting the mirrored positions of the transmitter and receiver can represent the ideal transmission path of the target signal when there are no obstacles. However, due to the presence of obstacles, some candidate action areas will be blocked on this ideal transmission path, that is, they will intersect with the line connecting the mirrored positions of the transmitter and receiver, resulting in reflection, diffraction, etc. of the target signal. Therefore, in this embodiment of the invention, the candidate action area that intersects with the line connecting the mirrored positions of the transmitter and receiver can be regarded as the target action area that has an actual impact on the transmission path of the target signal. The information of the action point is determined according to the intersection of the line connecting the mirrored positions of the transmitter and receiver and the target action area. The information of the action point can include the coordinates of the action point, the type of action on the target signal, and the action parameters. The type of action includes types such as reflection, refraction, and diffraction, and the action parameters can include types such as the number of reflections, the reflection coefficient, the reflection angle, and the diffraction coefficient.

[0091] In one embodiment, the target signal's transmission and reception points can be mirrored based on a candidate action plane to obtain the target's mirror position. Then, based on the geometric relationship between the target mirror position and the other of the target signal's transmission and reception points (i.e., the one not mirrored), and the candidate action area, the action point information is determined. For example, the intersection of the target line and the candidate action area is determined as the action point of the target signal in the target environment.

[0092] For example, a schematic diagram of the transmission of a target signal in a two-dimensional target environment can be found by referring to... Figure 2 .like Figure 2 As shown, For the transmitting end of the target signal, As the receiving end of the target signal, there is not only a direct path between the transmitting and receiving ends, but also a multipath formed by multiple reflections after passing through obstacles in the target environment. To determine the effect of the target environment on the transmission of the target signal, such as the number of reflections, the location of the reflection point, and the length of the reflection path, according to Fermat's principle, light travels along the shortest path. The shortest path can be determined by mirror symmetry with respect to the signal source, as follows: For example, assuming we want to determine the path of one reflection of the target signal, we can consider the transmitting end... Along the reflective surface of the obstacle By mirror symmetry, we obtain ,Will With the receiving end Intersection point of the connecting and obstacle reflective surface This is the first reflection point of the ray after passing through this reflecting surface. Correspondingly, assuming we want to determine the second reflection point of the target signal, we would use the first mirror point... Then along the reflective surface Perform mirror symmetry and Intersection of the lines This is the secondary reflection point, and then... Connect the secondary reflection point to the reflecting surface. The intersection of these points is the first reflection point. By repeating this process multiple times through mirror symmetry, the reflection points of all reflection paths of the target signal in the target environment can be found. Regarding the path length, based on the principles of triangle similarity and symmetry, the path length of the nth reflection is ultimately equal to the length of the nth reflection. Secondary symmetric point With the receiving end The straight-line length. Furthermore, the azimuth angle of arrival of the electromagnetic wave can be calculated based on the coordinates of the reflection point and the receiver.

[0093] Correspondingly, for the target signal in a three-dimensional target environment, the coordinates of the reflection point can also be determined using the aforementioned geometric method. Let the coordinates of the emission point be... Then the equation of the reflecting surface is: Draw a perpendicular line from the emission point to the reflecting surface; the intersection point is... Mirror symmetry of the launch point .

[0094] Let the direction vector of the reflected ray be... Let the coordinates of the reflection point be... , , , Then the following conditions are met:

[0095]

[0096] When the following conditions are met: When a reflection point is detected, the reflection path length and signal arrival azimuth angle can be obtained based on the position coordinates of the reflection point and the receiving point, thereby constructing the transmission path for the target signal.

[0097] Step 210: Based on the information of the point of action, construct the transmission path of the target signal in the target environment.

[0098] Specifically, based on the information corresponding to each point of action, the points on all paths that the target signal passes through in the target environment are determined, thereby obtaining the reflection points of the target signal on all reflection paths in the target environment.

[0099] Considering the significant energy loss after each reflection or diffraction, for paths with numerous reflections or diffractions, even if the signal is eventually received by the sensing device, the signal energy is almost zero. Furthermore, when diffraction occurs, the incident wave generates several secondary diffracted waves in all directions. According to the law of conservation of energy, each secondary wave carries relatively little energy, resulting in greater energy loss during diffraction than during reflection. Therefore, the energy of high-order paths (such as three or more reflections / diffractions) is negligible. Thus, wireless channel modeling for the target signal only needs to consider low-order propagation paths, which can include: direct path (0 reflections / diffractions): highest energy; single reflection: minimal energy loss, still potentially effective; double reflection: further energy attenuation, but possibly barely detectable. In one embodiment, the transceiver location includes the transmitting point location and the receiving point location; the candidate action area includes multiple obstacle surfaces in the target environment; the action point includes the reflection point; for cases where the target signal undergoes two reflections, the process of determining the reflection point information can include:

[0100] Determine a first mirror image position of the launch point relative to a first surface and a second mirror image position of the receiver point relative to a second surface; wherein the first surface and the second surface are any two different from the plurality of obstacle surfaces;

[0101] Based on the intersection of the line connecting the first mirror position and the second mirror position with the plurality of candidate action areas, the target reflection surface of the target signal in the target environment is determined from the surfaces of the plurality of obstacles;

[0102] The information of the reflection point is determined based on the relative positional relationship between the emission point location, the receiving point location, and the target reflective surface.

[0103] Taking a 5G signal as the target signal, a substation as the target environment, and metal equipment within the substation as obstacles, as an example, a schematic diagram illustrating how the 5G signal is received by the wireless sensing device after two reflections can be found here. Figure 4 As shown. Before tracing the 5G channel, it is necessary to determine which two surfaces the signal will be transmitted from. For example... Figure 4 As shown, let A be a set of points on the outer surfaces of all metal equipment within a substation, and let A be a subset of points on any surface of any metal equipment. Then:

[0104] ;

[0105] Where n is the total number of metal equipment with planes in the substation.

[0106] like Figure 4As shown, the positions of the 5G signal transmitting and receiving points are denoted as M(x1,y1,z1) and N(x2,y2,z2), respectively. Two subsets of set A, Ai and Aj (1≤i,j≤n,i≠j), are chosen. The mirror image of M with respect to plane Ai is denoted as M'(x1',y1',z1'), and the mirror image of N with respect to plane Aj is denoted as N'(x2',y2',z2'). All points on the line segment M'N' form set B. When line segment M'N' intersects with the two selected planes Ai and Aj at points T(k1,k2,k3) and Q(t1,t2,t3), it can be determined that the 5G signal emitted from point M is received by the wireless sensing device at point N after two reflections on the planes containing Ai and Aj. It is important to note that, to ensure the signal is not obstructed by other equipment within the substation when reflected in the planes containing Ai and Aj, the set B containing the points M' and N' of line segments must have exactly two common elements with set A, satisfying the following:

[0107] ;

[0108] After determining the reflecting plane, the mirror image point M'(x1', y1', z1') of the emission point M is determined based on the plane's normal vector and spatial relationships. Let the reflecting plane... The equation is If its normal vector is l=(a,b,c), then the expression for the mirror point M'(x1',y1',z1') is:

[0109] ;

[0110] Similarly, the coordinates of the mirror point N' (x2', y2', z2') can be determined. The intersections of the line connecting the mirror points M' and N' with planes Ai and Aj are the primary reflection point and the secondary reflection point, respectively. After determining these two reflection points, the channel through which the 5G signal undergoes two reflections within the substation can be determined using the previously known coordinates of the 5G signal transceiver points.

[0111] In one embodiment, considering that the target signal may diffract in the target environment, the candidate action region includes multiple obstacle edges in the target environment; the transceiver point location includes the transmitting point location and the receiving point location; the action point includes the diffraction point; the process of determining the information of the diffraction point includes:

[0112] The diffraction point of the target signal in the target environment is determined from the candidate point set; wherein the first line connecting the diffraction point and the position of the transmitting point and the second line connecting the diffraction point and the position of the receiving point are symmetrical with respect to the edge of the target obstacle where the diffraction point is located; the candidate point set is a set of points on the edges of multiple obstacles.

[0113] Taking a 5G signal as the target signal, a substation as the target environment, and metal equipment within the substation as obstacles, a schematic diagram of the diffraction of the 5G signal in the target environment can be found here. Figure 4 As shown.

[0114] When a 5G channel experiences diffraction and reflection within a substation, the diagram is as follows: Figure 4 As shown. Due to the reversibility of rays, the sequential occurrence of one diffraction and one reflection can be analyzed as a single case. In this case, let's assume that the points on the line segments containing the edges of all the metal equipment within the substation form a set C, and the points on any edge constitute a subset of set C. Then we have:

[0115] ;

[0116] Where m is the total number of edges of the metal equipment in the substation.

[0117] Take any subset Ak (1≤k≤n) of set A and a subset Cs (1≤s≤n) of set C. Construct the mirror image N2(x2,y2,z2) of the signal receiving point N(x2,y2,z2) with respect to plane Ak. Simultaneously, arbitrarily choose two points F(x3,y3,z3) and E(x4,y4,z4) on set Cs. Assume that a diffraction point W(x5,y5,z5) exists on the edge of the metal device containing set Cs. According to Fermat's principle, the coordinates of the diffraction point can be determined, i.e., when rays propagate in the same medium, the angles δ and ω between the diffracted ray and the incident ray and the side containing the diffraction point are equal.

[0118] ;

[0119] The coordinates of the diffraction point W(x5, y5, z5) can be obtained as follows: Figure 5 As shown.

[0120] In one embodiment, the target signal may also undergo a combination of reflection and diffraction in the target environment; either reflection occurs before diffraction, or diffraction occurs before reflection. Considering that although diffraction loss is large, the energy may still be within the acceptable range when only one diffraction is superimposed on one reflection. Therefore, when performing path tracing in the channel, in addition to considering direct reflection, primary reflection, secondary reflection, and primary reflection, a combination of primary reflection and primary diffraction can also be considered. The candidate action area includes multiple obstacle surfaces in the target environment; the action point includes the diffracted reflection point; the process of determining the information of the diffracted reflection point includes:

[0121] The diffracted reflection point is determined based on the intersection of the second line with the surfaces of the plurality of obstacles; wherein, the diffracted reflection point is the unique intersection of the line segment between the launch point position and the receiver position with the surface of the obstacle where the diffracted reflection point is located; the diffracted point is the unique intersection of the line segment between the launch point position and the receiver position with the edge of the obstacle where the diffracted point is located.

[0122] Among them, continue to refer to Figure 5 After determining the coordinates of the diffraction point W(x5, y5, z5), the intersection point R(x6, y6, z6) of line segment WN2 and the outer surface of the metal equipment in the substation where set Ak is located is the reflection point. To ensure that the signal can be diffracted and reflected sequentially on edge Cs and plane Ak without being obstructed by other equipment in the substation, the set D containing the points of line segment MN2 has only common elements with sets Cs and Ak respectively:

[0123] .

[0124] It should be noted that, due to the reversibility of rays, the occurrence of one diffraction and one reflection can be analyzed as a case. Therefore, in the case of diffraction that occurs after reflection, this embodiment can be referred to, and will not be elaborated here.

[0125] In one embodiment, the information of the point of action includes the location of the point of action and the type of action; the method further includes:

[0126] If the action type represents a non-direct type, the action path length corresponding to the action point and the incident / exit angle of the signal relative to the action point are calculated based on the relative positional relationship between the action point position and the transceiver position.

[0127] The field strength information of the target signal at the point of action is determined by calculating the length of the action path and the incident and exit angles.

[0128] Based on the field strength information of the target signal at the point of application, the path loss of the target signal in the target environment is determined.

[0129] After determining the path of the 5G channel within the substation, based on the propagation loss of the 5G signal in free space, and combining electromagnetic reflection theory and uniform diffraction theory, the loss generated during transmission and diffraction can be determined, thus calculating the 5G channel loss at any point within the substation. When the transmit power of the 5G signal within the substation is PF and the receive power is PS, the path loss can be expressed as PLS:

[0130] ;

[0131] 5G signals are essentially electromagnetic waves. When they propagate in free space, i.e., only within a line-of-sight range, the signal power received by the receiving antenna can be calculated using the following formula:

[0132] ;

[0133] In the formula: GF and GS are the gains of the transmitting antenna and the receiving antenna, respectively. The distance between the signal transmitting and receiving points. The wavelength is the signal wavelength.

[0134] When 5G channels experience reflection and diffraction, i.e., when the signal action type is not direct, the signal power received by the receiving antenna cannot be directly calculated. However, in this embodiment of the invention, considering that power is proportional to the square of the field strength, the corresponding power loss can be indirectly calculated by the change in field strength when the signal is reflected and diffracted. In this case, let the field strength generated at a point d in the substation when the 5G signal is directly incident be E0, and the field strength Ed generated at point d when receiving reflected or diffracted signals is as follows:

[0135] ;

[0136] In the formula, F1 and F2 are the primary and secondary reflection coefficients, respectively, V is the diffraction coefficient, LZ is the direct path length, and Ld is the total path length where reflection or diffraction occurs, which can be determined by the coordinates of the reflection and diffraction points specified earlier. k1, k2, and k3 represent whether primary reflection, secondary reflection, and diffraction occur, respectively, denoted as 1 if they occur and 0 otherwise. Since the reflection angles of primary and secondary reflections are different, they are represented by F1 and F2 respectively.

[0137] The calculation expressions for the reflection coefficient F and the diffraction coefficient V are as follows, where the reflection coefficient F is divided into the horizontally polarized emission coefficient R‖ and the vertically polarized reflection coefficient R⊥, and the choice of either is determined by the antenna itself:

[0138] ;

[0139] In the formula, θ is the incident angle in the case of reflection, ε is the relative permittivity, and β and β' are the incident angle and the diffraction angle, respectively, in the case of diffraction. εr is the dielectric constant.

[0140] After determining the relationship between the field strength generated by the reflected and diffracted signals and the direct field strength, the resultant field strength ES at any point within the substation can be obtained:

[0141] ;

[0142] Since field strength is proportional to the square of power, the path loss of the 5G signal within the substation can be determined based on the ratio of transmitted to received power during rectilinear propagation in free space.

[0143] ;

[0144] If we consider all the transmitting and receiving antennas in a 5G substation as identical ideal antennas, the above formula can be simplified to:

[0145] ;

[0146] The method for calculating 5G channel loss in substations based on ray tracing algorithm can identify the influencing factors affecting channel loss, thereby improving the reliability of 5G channels.

[0147] In one embodiment, after determining the path loss of the target signal in the target environment, the method further includes:

[0148] Determine the mapping relationship between the location of the transceiver point and the path loss;

[0149] The positions of the transmit and receive points of the target signal are adjusted according to the mapping relationship.

[0150] Specifically, by adjusting the transceiver point positions and simulating the corresponding transmission channels for the adjusted transceiver point positions, the path loss of the simulated transmission channels is calculated according to the aforementioned embodiment, thereby obtaining the mapping relationship between the transceiver point positions and the path loss. The transceiver point positions of the target signal are adjusted according to the mapping relationship. Specifically, the signal transmission point position with lower path loss is selected as the optimal transmission point position according to the mapping relationship, and the transmission point position of the target signal is adjusted to this optimal transmission point position.

[0151] In this embodiment of the invention, based on the fundamental idea of ​​ray tracing algorithms for studying light propagation and grounded in geometric optics theory, the effective channel path of 5G signals within a substation is traced using the spatial geometric characteristics of signal reflection and diffraction. By calculating the free space loss and energy loss during reflection and diffraction on the 5G signal's transmission and reception paths, the solution for 5G channel loss in substations densely populated with metal equipment can be achieved. A comparison of the accuracy of the path loss calculation results obtained by the wireless channel modeling method used in this embodiment with that of existing substation channel loss calculation methods—such as the path loss calculation results of the U-shaped channel model—can be found by referring to [reference needed]. Figure 6 .like Figure 6As shown, the wireless channel modeling method used in this embodiment of the invention improves the calculation accuracy by 44.6%, thereby verifying the applicability and effectiveness of the ray tracing algorithm in calculating channel loss in the context of a large metal array in a substation. Subsequently, simulation calculations based on the ray tracing algorithm yielded a large amount of data. Analysis of this data revealed the impact of signal transmit / receive end height and 5G antenna spatial location on 5G channel loss in substations, which can be referenced... Figure 7 The simulation results for dividing the substation into three equally spaced sections are as follows: Figure 8 .like Figure 8 As shown, the receiving device in the front section should be kept at the average height, the receiving device in the middle section should be kept at 80% of the average height, and the receiving device in the rear section should be kept at 30%-40% of the average height. To reduce channel loss, the 5G antenna should be placed diagonally at the substation and kept at a height of 160%-170% of the average height. Simulation results can be seen as follows. Figure 9 As shown. Among them, Figure 7 , Figure 8 as well as Figure 9 The horizontal axis represents the horizontal distance from the signal transmission point to the right boundary of the substation, in meters; the vertical axis represents the path loss of the 5G signal. Figure 7 , Figure 8 as well as Figure 9 The “average height” refers to the average height of the 5G signal transmitter.

[0152] In the aforementioned wireless channel modeling method, the transceiver locations of the target signal and obstacle information in the target environment are obtained; candidate action regions for the target signal in the target environment are determined based on the obstacle information; the transceiver locations are mirrored based on the locations of the candidate action regions to obtain mirrored transceiver locations corresponding to the target signal; information on the points in the candidate action regions that influence the transmission path of the target signal is determined based on the geometric relationship between the line connecting the mirrored transceiver locations and the candidate action regions; and the transmission path of the target signal in the target environment is constructed based on the information of the points of influence. This embodiment of the invention is based on a reverse ray tracing algorithm. By mirroring the transceiver locations, the location of the mirrored virtual source is obtained. Based on the geometric relationship between the mirrored virtual source and the candidate action regions corresponding to obstacles in the target environment, mirrored points and reflected rays are determined, thereby determining all possible ray propagation paths between the transmitting and receiving points. This enables accurate simulation of transmission channels for signals such as 5G signals in environments with complex obstacle conditions, such as substations, and provides accurate support for calculating signal transmission path loss and optimizing signal transmission channels.

[0153] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0154] Based on the same inventive concept, this application also provides a wireless channel modeling apparatus for implementing the wireless channel modeling method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more wireless channel modeling apparatus embodiments provided below can be found in the limitations of the wireless channel modeling method described above, and will not be repeated here.

[0155] In one exemplary embodiment, such as Figure 10 As shown, a wireless channel modeling device is provided, comprising: an acquisition module 302, a first determination module 304, a mapping module 306, a second determination module 308, and a construction module 310, wherein:

[0156] The acquisition module 302 is used to acquire the location of the target signal's transmission and reception points and obstacle information in the target environment;

[0157] The first determining module 304 is used to determine, based on the obstacle information, a candidate region of action for the target signal in the target environment;

[0158] The mapping module 306 is used to perform mirror mapping on the transceiver point position according to the position of the candidate action area to obtain the mirror position of the transceiver point corresponding to the target signal;

[0159] The second determining module 308 is used to determine information about the points in the candidate action area that have a transmission path influence effect on the target signal based on the geometric relationship between the line connecting the mirror positions of the transceiver points and the candidate action area;

[0160] The construction module 310 is used to construct the transmission path of the target signal in the target environment based on the information of the point of action.

[0161] Each module in the aforementioned wireless channel modeling device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0162] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 11 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a wireless channel modeling method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0163] Those skilled in the art will understand that Figure 11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0164] In one exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the implementation scheme described in the foregoing method, which will not be repeated here.

[0165] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the implementation scheme described in the foregoing method, and therefore will not be repeated here.

[0166] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0167] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0168] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0169] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A wireless channel modeling method, characterized in that, The method includes: Acquire the location of the target signal's transmission and reception points, as well as obstacle information in the target environment; Based on the obstacle information, a candidate region of action for the target signal in the target environment is determined; Based on the location of the candidate action area, the transceiver point location is mirrored to obtain the mirrored transceiver point location corresponding to the target signal; Based on the geometric relationship between the line connecting the mirrored positions of the transceiver points and the candidate action area, information on the action points in the candidate action area that have a transmission path influence on the target signal is determined; Based on the information of the point of action, the transmission path of the target signal in the target environment is constructed.

2. The method according to claim 1, characterized in that, The transceiver point locations include the transmitting point location and the receiving point location; the candidate action area includes multiple obstacle surfaces in the target environment; The point of action includes a reflection point; the process of determining the information of the reflection point includes: Determine a first mirror image position of the launch point relative to a first surface and a second mirror image position of the receiver point relative to a second surface; wherein the first surface and the second surface are any two different from the plurality of obstacle surfaces; Based on the intersection of the line connecting the first mirror position and the second mirror position with the plurality of candidate action areas, the target reflection surface of the target signal in the target environment is determined from the surfaces of the plurality of obstacles; The information of the reflection point is determined based on the relative positional relationship between the emission point location, the receiving point location, and the target reflective surface.

3. The method according to claim 1, characterized in that, The candidate action area includes multiple obstacle edges in the target environment; The transceiver point location includes the transmitting point location and the receiving point location; the point of action includes the diffraction point; the process of determining the information of the diffraction point includes: The diffraction point of the target signal in the target environment is determined from the candidate point set; wherein the first line connecting the diffraction point and the position of the transmitting point and the second line connecting the diffraction point and the position of the receiving point are symmetrical with respect to the edge of the target obstacle where the diffraction point is located; the candidate point set is a set of points on the edges of multiple obstacles.

4. The method according to claim 3, characterized in that, The candidate action area includes multiple obstacle surfaces in the target environment; the action point includes a diffraction reflection point; the process of determining the information of the diffraction reflection point includes: The diffracted reflection point is determined based on the intersection of the second line with the surfaces of the plurality of obstacles; wherein, the diffracted reflection point is the unique intersection of the line segment between the launch point position and the receiver position with the surface of the obstacle where the diffracted reflection point is located; the diffracted point is the unique intersection of the line segment between the launch point position and the receiver position with the edge of the obstacle where the diffracted point is located.

5. The method according to claim 1, characterized in that, The information about the point of action includes the location of the point of action and the type of action; the method further includes: If the action type represents a non-direct type, the action path length corresponding to the action point and the incident / exit angle of the signal relative to the action point are calculated based on the relative positional relationship between the action point position and the transceiver position. The field strength information of the target signal at the point of action is determined by calculating the length of the action path and the incident and exit angles. Based on the field strength information of the target signal at the point of application, the path loss of the target signal in the target environment is determined.

6. The method according to claim 5, characterized in that, The method further includes: Determine the mapping relationship between the location of the transceiver point and the path loss; The positions of the transmit and receive points of the target signal are adjusted according to the mapping relationship.

7. A wireless channel modeling device, characterized in that, The device includes: The acquisition module is used to acquire the location of the target signal's transmission and reception points, as well as obstacle information in the target environment; The first determining module is used to determine, based on the obstacle information, a candidate region of action for the target signal in the target environment; The mapping module is used to mirror the position of the transceiver point according to the position of the candidate action area to obtain the mirror position of the transceiver point corresponding to the target signal; The second determining module is used to determine the information of the action points in the candidate action area that have a transmission path influence effect on the target signal based on the geometric relationship between the line connecting the mirror positions of the transceiver points and the candidate action area; A construction module is used to construct the transmission path of the target signal in the target environment based on the information of the point of action.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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