Signal detection method, device and related equipment for imt ground station declaration

Abstract

The application provides a signal detection method and device for IMT ground station declaration and related equipment, relates to the technical field of wireless communication, and is used for realizing automatic and high-precision detection on compliance of IMT station declaration. The specific technical scheme is as follows: configuration parameters of a ground IMT system are acquired; according to spatial position information, a plurality of virtual IMT ground stations and virtual terminals corresponding to each virtual IMT ground station are generated in a simulation environment; according to geographical position information, antenna radiation characteristic information and propagation environment information of sampling points on a border line, antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling points are determined; according to the antenna gain and the path loss, the lumped signal field strength of the sampling points is determined; the lumped signal field strength is compared with the international bilateral agreement limit value corresponding to the sampling points, and the detection result of the sampling points is obtained. The application is applied to an international declaration scene of a border station.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to a signal detection method, apparatus and related equipment for IMT ground station declaration. Background Technology

[0002] With the continuous development of mobile communication technology and the large-scale deployment of terrestrial International Mobile Telecommunications (IMT) networks, the number of radio stations in border areas has increased significantly. To ensure the legality of frequency resource use and avoid station restrictions due to interference from neighboring countries, it is necessary to make compliant declarations for IMT terrestrial stations near the border in accordance with the rules of the International Telecommunication Union and bilateral agreements.

[0003] In related technologies, the limits of signal strength such as field strength and power flux density are clearly defined based on the signed bilateral agreements. However, there is currently a lack of systematic technical means to obtain the lumped signal strength at each sampling point along the border. Existing applications mainly rely on manual estimation or experience-based judgment, which makes it difficult to achieve standardized comparison.

[0004] Thus, the inability to accurately obtain the total field strength and compare it with the agreement limit leads to a lack of reliable support for the verification of compliance, making it difficult to guarantee the accuracy of the results and the efficiency of the work. Summary of the Invention

[0005] This application provides a signal detection method, apparatus, and related equipment for IMT ground station declaration, which is used to obtain the lumped signal field strength at each sampling point along the border, realize standardized comparison with the protocol limit, and provide reliable data support for the compliance verification of station declaration.

[0006] In a first aspect, embodiments of this application provide a signal detection method for IMT ground station declaration, the method comprising:

[0007] Obtain the configuration parameters of the terrestrial IMT system, which include spatial location information, antenna radiation characteristics information, and propagation environment information of multiple IMT ground stations;

[0008] Based on the spatial location information, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and a virtual terminal corresponding to each virtual IMT ground station are generated in the simulation environment.

[0009] Based on the geographical location information of the sampling points on the border line, the antenna radiation characteristics information, and the propagation environment information, determine the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling points;

[0010] The lumped signal strength of the sampling point is determined based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point.

[0011] The lumped signal field strength is compared with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

[0012] The technical solution provided in this application brings at least the following beneficial effects:

[0013] The signal detection method for IMT ground station declaration provided in this application first obtains the configuration parameters of the ground IMT system (including spatial location information, antenna radiation characteristic information, and propagation environment information of multiple IMT ground stations). Then, in a simulation environment, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and virtual terminals corresponding to each virtual IMT ground station are generated based on the spatial location information, so that the station layout and terminal distribution in the simulation environment are consistent with the actual ground IMT system. On this basis, according to the geographical location information, antenna radiation characteristic information, and propagation environment information of the sampling point on the border, the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point are calculated respectively, thereby determining the lumped signal field strength of the sampling point. Finally, the lumped signal field strength is compared with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point. The above method can systematically reconstruct the signal transmission environment of the actual ground IMT system in the simulation environment, fully take into account the comprehensive signal contribution of all stations and terminals to the sampling points on the border line, and calculate the lumped signal field strength at the sampling points based on accurate antenna gain and path loss. This enables automated and high-precision detection of the compliance of IMT station declarations, effectively solving the problems of lack of specific signal strength calculation methods and lack of reliable technical support for declaration compliance verification in the existing technology.

[0014] One possible implementation involves generating, based on the spatial location information, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations in a simulation environment, and a virtual terminal corresponding to each of the virtual IMT ground stations, including:

[0015] Based on the spatial location information of any first IMT ground station, a first virtual IMT ground station is generated in the simulation environment, and the spatial coordinates of the first virtual IMT ground station correspond to those of the first IMT ground station.

[0016] Multiple initial virtual terminals are generated within the cell area corresponding to the first virtual IMT ground station;

[0017] Based on the network access parameters corresponding to each of the plurality of initial virtual terminals and the service capacity of the first virtual IMT ground station, a virtual terminal corresponding to the first virtual IMT ground station is determined from the plurality of initial virtual terminals.

[0018] Another possible implementation is that the antenna gain is determined based on the following method:

[0019] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point is determined respectively;

[0020] Based on the antenna radiation characteristic information of each virtual IMT ground station and each virtual terminal, the antenna gain of each virtual IMT ground station and each virtual terminal at the corresponding spatial azimuth is determined.

[0021] Another possible implementation is that the path loss is determined based on the following method:

[0022] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial distance from each virtual IMT ground station and each virtual terminal to the sampling point is determined respectively;

[0023] The path loss is determined based on the spatial distance and the propagation environment information using a propagation model corresponding to the propagation environment information.

[0024] Another possible implementation is that the configuration parameters also include the transmit power information of the plurality of IMT ground stations;

[0025] The step of determining the lumped signal strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point includes:

[0026] Based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station, determine the first signal field strength component generated by each virtual IMT ground station at the sampling point;

[0027] Based on the transmit power information of each virtual terminal, the antenna gain, and the path loss, the second signal field strength component generated by each virtual terminal at the sampling point is determined;

[0028] The first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal are lumped together and superimposed to obtain the lumped signal field strength of the sampling point.

[0029] Another possible implementation, after comparing the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point, further includes:

[0030] A visual detection map is generated based on the detection results of the sampling points;

[0031] Wherein, if the lumped signal field strength exceeds the limit of the international bilateral agreement, the sampling point is marked with a first color; or, if the lumped signal field strength is lower than or equal to the limit of the international bilateral agreement, the sampling point is marked with a second color, wherein the first color and the second color are different.

[0032] Secondly, embodiments of this application provide a signal detection device for IMT ground station declaration, comprising:

[0033] The acquisition module is used to acquire the configuration parameters of the terrestrial IMT system, which include spatial location information, antenna radiation characteristic information and propagation environment information of multiple IMT ground stations;

[0034] The generation module is used to generate, in a simulation environment, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and a virtual terminal corresponding to each of the virtual IMT ground stations, based on the spatial location information.

[0035] The determination module is used to determine the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the geographical location information of the sampling point on the border line, the antenna radiation characteristic information, and the propagation environment information.

[0036] The determining module is further configured to determine the lumped signal strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point;

[0037] The comparison module is used to compare the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

[0038] One possible implementation is to generate a module, specifically used for:

[0039] Based on the spatial location information of any first IMT ground station, a first virtual IMT ground station is generated in the simulation environment, and the spatial coordinates of the first virtual IMT ground station correspond to those of the first IMT ground station.

[0040] Multiple initial virtual terminals are generated within the cell area corresponding to the first virtual IMT ground station;

[0041] Based on the network access parameters corresponding to each of the plurality of initial virtual terminals and the service capacity of the first virtual IMT ground station, a virtual terminal corresponding to the first virtual IMT ground station is determined from the plurality of initial virtual terminals.

[0042] Another possible implementation involves defining a module, specifically for:

[0043] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point is determined respectively;

[0044] Based on the antenna radiation characteristic information of each virtual IMT ground station and each virtual terminal, the antenna gain of each virtual IMT ground station and each virtual terminal at the corresponding spatial azimuth is determined.

[0045] Another possible implementation involves defining a module, specifically for:

[0046] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial distance from each virtual IMT ground station and each virtual terminal to the sampling point is determined respectively;

[0047] The path loss is determined based on the spatial distance and the propagation environment information using a propagation model corresponding to the propagation environment information.

[0048] Another possible implementation is that the configuration parameters also include the transmit power information of the plurality of IMT ground stations;

[0049] The module is specifically used for:

[0050] Based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station, determine the first signal field strength component generated by each virtual IMT ground station at the sampling point;

[0051] Based on the transmit power information of each virtual terminal, the antenna gain, and the path loss, the second signal field strength component generated by each virtual terminal at the sampling point is determined;

[0052] The first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal are lumped together and superimposed to obtain the lumped signal field strength of the sampling point.

[0053] Another possible implementation, after comparing the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point, the generation module is further configured to:

[0054] A visual detection map is generated based on the detection results of the sampling points;

[0055] Wherein, if the lumped signal field strength exceeds the limit of the international bilateral agreement, the sampling point is marked with a first color; or, if the lumped signal field strength is lower than or equal to the limit of the international bilateral agreement, the sampling point is marked with a second color, wherein the first color and the second color are different.

[0056] Thirdly, this application provides an electronic device comprising: a processor and a memory; the memory stores a program or instructions executable on the processor, wherein the program or instructions, when executed by the processor, implement the method of the first aspect described above.

[0057] Fourthly, this application provides a readable storage medium on which a program or instructions are stored, which, when executed by a computer, implement the method of the first aspect described above.

[0058] Fifthly, this application provides a computer program product that is stored in a storage medium and implements the method of the first aspect described above when the computer program product is executed by a computer.

[0059] In a sixth aspect, embodiments of this application provide a chip including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method described in the first aspect.

[0060] The beneficial effects of the second to sixth aspects mentioned above are described in the corresponding description of the first aspect and will not be repeated here. Attached Figure Description

[0061] Figure 1 This application provides a network architecture for a signal detection method used in IMT ground station declaration.

[0062] Figure 2 This is a flowchart illustrating a signal detection method for IMT ground station declaration, provided as an embodiment of this application.

[0063] Figure 3 This is a flowchart illustrating a method for generating a virtual IMT ground station and a virtual terminal, as provided in an embodiment of this application.

[0064] Figure 4 This is a flowchart illustrating an antenna gain determination method provided in an embodiment of this application.

[0065] Figure 5 This is a flowchart illustrating a path loss determination method provided in an embodiment of this application.

[0066] Figure 6 This is a flowchart illustrating a method for determining lumped signal field strength, provided in an embodiment of this application.

[0067] Figure 7 This is a schematic diagram of a visual detection map provided in an embodiment of this application.

[0068] Figure 8 This is a schematic diagram of a signal detection device for IMT ground station application provided in an embodiment of this application.

[0069] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0070] The following section, in conjunction with the accompanying drawings, provides a detailed description of the signal detection method, apparatus, and related equipment provided in this application for IMT ground station application.

[0071] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0072] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0073] The terms "at least one," "at least one of," etc., used in the specification and claims of this application refer to any one, any two, or a combination of two or more of the included items. For example, at least one of a, b, and c can mean: "a," "b," "c," "a and b," "a and c," "b and c," and "a, b, and c," where a, b, and c can be single or multiple. Similarly, "at least two" refers to two or more items, and its meaning is similar to that of "at least one."

[0074] In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0075] This application provides a signal detection method, apparatus, and related equipment for IMT ground station declaration, which can be applied to international declaration scenarios for border stations.

[0076] With the continuous expansion of mobile communication networks and the large-scale deployment of stations in border areas, neighboring countries on both sides of the border have signed bilateral agreements to clearly define the protocol limits for signal strength (including field strength E and power flux density PFD) in the application for international stations in border areas. However, there is currently no practical algorithm or process in the field that can accurately calculate the lumped signal field strength of all stations and terminals at each sampling point along the border for a actually deployed terrestrial IMT system, and automatically compare it with the bilateral agreement limits to determine whether the applied station meets the protocol compliance requirements. This gap results in a lack of technical support for the compliance verification stage of station application work. Applicants can only rely on manual estimation or lack systematic methods for evaluation, making it difficult to guarantee the accuracy and consistency of the application results.

[0077] To address the aforementioned technical problems, this application provides a signal detection method, apparatus, and related equipment for IMT ground station declaration. The method first acquires the configuration parameters of the terrestrial IMT system (including spatial location information, antenna radiation characteristics, and propagation environment information of multiple IMT ground stations). Then, in a simulation environment, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and virtual terminals corresponding to each virtual IMT ground station are generated based on the spatial location information, ensuring that the station layout and terminal distribution in the simulation environment are consistent with the actual terrestrial IMT system. Based on this, according to the geographical location information, antenna radiation characteristics, and propagation environment information of the sampling point on the border line, the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point are calculated, thereby determining the lumped signal strength of the sampling point. Finally, the lumped signal strength is compared with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point. The above method can systematically reconstruct the signal transmission environment of the actual ground IMT system in the simulation environment, fully take into account the comprehensive signal contribution of all stations and terminals to the sampling points on the border line, and calculate the lumped signal field strength at the sampling points based on accurate antenna gain and path loss. This enables automated and high-precision detection of the compliance of IMT station declarations, effectively solving the problems of lack of specific signal strength calculation methods and lack of reliable technical support for declaration compliance verification in the existing technology.

[0078] The following description, in conjunction with the accompanying drawings, details the signal detection method, apparatus, and related equipment for IMT ground station application provided in the embodiments of this application.

[0079] Figure 1 This paper illustrates a network architecture for a signal detection method used in IMT ground station declaration, as provided in an embodiment of this application. Figure 1 As shown, the network architecture includes a signal detection device 101 and a terminal device 102. The signal detection device 101 and the terminal device 102 are interconnected.

[0080] In some embodiments, the signal detection device 101 may be a server, a computer, or a processor or processing unit within a server or computer. The server may be a single server or a server cluster consisting of multiple servers. It should be noted that the specific device form of the signal detection device 101 is not limited in the embodiments of this application. Figure 1 The signal detection device 101 is used as an example of a single server.

[0081] In some embodiments, the terminal device may be a mobile phone, tablet computer, laptop computer, handheld computer, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, personal computer (PC), ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc., and the embodiments of this application do not specifically limit it. Figure 1 The example shown is a mobile phone, with terminal device 102 as an example.

[0082] In some embodiments, the signal detection device 101 generates virtual IMT ground stations and virtual terminals based on spatial location information; determines the antenna gain and path loss of each transmitting source relative to the sampling point based on the geographical location information, antenna radiation characteristics information, and propagation environment information of the sampling points on the border line; determines the lumped signal field strength of the sampling point based on the transmission power, antenna gain, and path loss of each transmitting source; and compares the lumped signal field strength with the corresponding international bilateral agreement limit to obtain the detection result of the sampling point; the terminal device 102 can be used to provide the signal detection device 101 with the configuration parameters of the ground IMT system (e.g., station location, transmission power, etc.), or the terminal device 102 can also be used to receive and display the detection results (e.g., a visual detection map) output by the signal detection device 101.

[0083] It should be noted that the network architecture described in the embodiments of this application is for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and does not constitute a limitation on the technical solutions provided in the embodiments of this application. As network architectures evolve, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0084] See Figure 2 This is a flowchart illustrating a signal detection method for IMT ground station application provided in an embodiment of this application. Figure 2 As shown, the signal detection method for IMT ground station declaration provided in this application embodiment can be implemented by the above-mentioned signal detection device for IMT ground station declaration, specifically including the following steps 201 to 205.

[0085] Step 201: The signal detection device acquires the configuration parameters of the terrestrial IMT system. The configuration parameters include the spatial location information, antenna radiation characteristics information, and propagation environment information of multiple IMT ground stations.

[0086] Step 202: Based on the spatial location information, the signal detection device generates multiple virtual IMT ground stations corresponding to multiple IMT ground stations and a virtual terminal corresponding to each virtual IMT ground station in the simulation environment.

[0087] Step 203: The signal detection device determines the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the geographical location information, antenna radiation characteristics information and propagation environment information of the sampling point on the border line.

[0088] Step 204: The signal detection device determines the lumped signal field strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point.

[0089] Step 205: The signal detection device compares the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

[0090] First, the signal detection device acquires the configuration parameters of the ground-based IMT system.

[0091] In this embodiment, the configuration parameters include spatial location information, antenna radiation characteristic information, and propagation environment information for multiple IMT ground stations. The spatial location information is used to accurately recreate the geographical distribution of each IMT ground station in the simulation environment; the antenna radiation characteristic information is used to construct radiation characteristic models of each IMT ground station and terminal in different spatial directions; and the propagation environment information is used to select a path loss calculation model that matches the actual radio wave propagation conditions.

[0092] Taking the international application scenario for IMT ground stations as an example, spatial location information can include the longitude, latitude, and altitude of each station. Antenna radiation characteristic information can include parameters such as antenna type, antenna gain, antenna elevation angle (i.e., downtilt angle), antenna height, and antenna 3dB beamwidth (including the number of sectors and the azimuth of each sector); for stations supporting multi-sector deployment, the azimuth information of each sector can also be included as part of the antenna radiation characteristic information. Propagation environment information can include radio climate zone type (e.g., different terrain categories such as coastal land, inland, or sea), which can determine the differences in propagation characteristics under different distance and time probability conditions in the path loss model.

[0093] Subsequently, based on the spatial location information, the signal detection device generates multiple virtual IMT ground stations corresponding to multiple IMT ground stations in the simulation environment, as well as a virtual terminal corresponding to each virtual IMT ground station.

[0094] In this embodiment, the simulation environment includes a software simulation platform for simulating the working state of an actual terrestrial IMT system. Multiple virtual IMT ground stations are deployed in the simulation environment according to the spatial location information of their corresponding actual IMT ground stations, ensuring that the station distribution in the simulation environment is spatially consistent with the actual station distribution, thereby guaranteeing the accuracy of subsequent signal strength calculation results.

[0095] For each virtual IMT ground station, a corresponding virtual terminal can also be generated within its corresponding cell range. The generation of virtual terminals is used to simulate user equipment (UE) operating within the cell in the actual network, thereby incorporating the terminal as a signal transmission source into the lumped field strength calculation. In a terrestrial IMT system, not only do IMT ground stations radiate signals outward, but active terminals within the cell also generate uplink transmission signals of a certain strength. In some scenarios, the cumulative contribution of terminals to the edge sampling points is also significant.

[0096] After generating virtual IMT ground stations and virtual terminals in the simulation environment, the signal detection device determines the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the geographical location information, antenna radiation characteristics information and propagation environment information of the sampling points on the border line.

[0097] In this embodiment, the sampling points on the border line are the target locations for signal detection. By sampling the border line, the continuous border line problem can be transformed into a field strength calculation problem with a finite number of discrete points, thereby achieving an operable calculation process while ensuring detection accuracy. In practical applications, bilateral protocols generally have clear limitations on the receiver height at the sampling points; for example, the receiver height on the border line is set to 3 meters above the ground.

[0098] For each virtual IMT ground station and each virtual terminal, the antenna gain in the direction corresponding to the sampling point is calculated based on its spatial location and relative geometric relationship with the sampling point, and the path loss of the signal propagating from the signal source to the sampling point is determined in combination with the propagation environment information.

[0099] Subsequently, the signal detection device determines the lumped signal field strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point.

[0100] In this embodiment, the lumped signal field strength includes the power superposition result of signals received at the border sampling point from all IMT ground stations and all terminals within the coverage area, expressed as a field strength measure (dB(μV / m)). Through lumped superposition, the radio interference level at the sampling point can be comprehensively reflected, thus providing a comprehensive index directly comparable to the bilateral agreement limit.

[0101] Finally, the signal detection device compares the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

[0102] In this embodiment, since the bilateral protocol limits may differ at different locations along the border, in practical applications, the corresponding protocol limit can be selected based on the specific location of the sampling point. The detection results indicate whether the signal field strength at the sampling point meets the requirements of the bilateral protocol, i.e., whether it exceeds the upper limit specified in the protocol.

[0103] In this embodiment, virtual stations and virtual terminals corresponding to actual ground-based IMT systems are constructed in a simulation environment. The antenna gain and path loss of each signal source at the border sampling points are systematically calculated, thereby obtaining the lumped signal strength at the sampling points and comparing it with bilateral agreement limits. This achieves automated and systematic detection of IMT station declaration compliance. Compared to existing technologies that lack specific algorithmic support and rely on manual methods for compliance assessment, this embodiment provides a complete simulation detection process that can accurately and efficiently calculate the lumped signal strength at each point on the border, providing a reliable technical means for verifying station declaration compliance and filling a gap in signal detection methods in this field.

[0104] It should be noted that the sampling density of the border sampling points can be flexibly set according to factors such as the actual terrain of the border, coordination requirements, and computing resources. The level of sampling density does not affect the implementation of the method in the embodiments of this application.

[0105] In some optional embodiments, to demonstrate the authenticity and rationality of the IMT ground station and terminal simulation, the specific generation methods of the virtual IMT ground station and virtual terminal are described below.

[0106] See Figure 3 This is a flowchart illustrating a method for generating a virtual IMT ground station and a virtual terminal, as provided in an embodiment of this application. Figure 3 As shown, the method includes steps 301 to 303.

[0107] Step 301: The signal detection device generates a first virtual IMT ground station in the simulation environment based on the spatial location information of any first IMT ground station. The spatial coordinates of the first virtual IMT ground station correspond to those of the first IMT ground station.

[0108] Step 302: The signal detection device generates multiple initial virtual terminals within the cell range corresponding to the first virtual IMT ground station.

[0109] Step 303: The signal detection device determines the virtual terminal corresponding to the first virtual IMT ground station from among the multiple initial virtual terminals based on the network access parameters corresponding to each of the multiple initial virtual terminals and the service capacity of the first virtual IMT ground station.

[0110] In this embodiment, for any first IMT ground station (hereinafter referred to as "target station") among multiple IMT ground stations, a corresponding virtual IMT ground station and virtual terminal are generated according to the following steps.

[0111] First, the signal detection device generates the first virtual IMT ground station in the simulation environment based on the spatial location information of the target station.

[0112] In this embodiment, a first virtual IMT ground station is generated in the simulation environment based on the spatial location information of the target station (such as longitude, latitude, altitude, etc.), so that the spatial coordinates of the first virtual IMT ground station correspond to the target station, thereby ensuring the consistency between the simulation and reality in terms of spatial layout.

[0113] Then, the signal detection device generates multiple initial virtual terminals within the cell range corresponding to the first virtual IMT ground station.

[0114] In this embodiment, the cell coverage area of ​​the first virtual IMT ground station can be determined based on the station's coverage radius parameter. In practical applications, to more realistically reflect the distribution characteristics of terminals in the actual network, a uniform distribution method can be adopted for terminal deployment. For hexagonal cells, a rectangular compensation method can be used to achieve uniform deployment of terminals within the hexagonal area. That is, candidate terminal locations are first uniformly generated within the smallest rectangular area containing the hexagon, and then the locations within the hexagonal cell area are selected as the initial virtual terminal locations, thereby ensuring uniformity while limiting the distribution of terminals within the cell boundary.

[0115] Finally, based on the network access parameters corresponding to each of the multiple initial virtual terminals and the service capacity of the first virtual IMT ground station, the signal detection device determines the virtual terminal corresponding to the first virtual IMT ground station from among the multiple initial virtual terminals.

[0116] In this embodiment, the network access parameters may include the initial access power of the terminal and the handover margin, etc. The terminal selects a cell according to the network access parameters. After completing the virtual access, the access terminals are screened according to the service capacity of the first virtual IMT ground station (i.e., the maximum number of users that the cell can support). The terminals that are retained within the capacity range are used as the virtual terminals that will ultimately participate in the field strength calculation.

[0117] The above method can simulate the distribution of effective on-network terminals in a cell in a real network, making the number and location distribution of virtual terminals closer to the actual scenario, thereby improving the accuracy of the lumped field strength calculation results.

[0118] In an optional embodiment, to accurately model the antenna radiation characteristics in the spatial direction, the method for determining the antenna gain is described below.

[0119] See Figure 4 This is a flowchart illustrating an antenna gain determination method provided in an embodiment of this application. Figure 4 As shown, the method includes steps 401 and 402.

[0120] Step 401: The signal detection device determines the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the spatial location information of each virtual IMT ground station and each virtual terminal and the geographical location information of the sampling point.

[0121] Step 402: The signal detection device determines the antenna gain of each virtual IMT ground station and each virtual terminal in the corresponding spatial orientation based on the antenna radiation characteristics information of each virtual IMT ground station and each virtual terminal.

[0122] First, based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point is determined.

[0123] In this embodiment, spatial orientation can include two dimensions: azimuth angle (φ) and elevation angle (θ), which can completely describe the three-dimensional spatial orientation relationship between the signal source (i.e., the virtual IMT ground station and virtual terminal) and the sampling point. In practical applications, the azimuth angle φ refers to the angle between the projection of the transmission direction onto the horizontal plane and the reference direction (usually due north or the direction in which the antenna main lobe points), and its value range is usually [-180°, +180°] or [0°, 360°]. The elevation angle θ refers to the angle between the transmission direction and the horizontal plane, and its value range is usually [-90°, +90°] or [0°, 90°].

[0124] Then, based on the antenna radiation characteristics of each virtual IMT ground station and each virtual terminal, the antenna gain of each virtual IMT ground station and each virtual terminal at the corresponding spatial azimuth is determined.

[0125] In this embodiment, the antenna gain calculation model may differ for different types of antennas. Taking common antenna types in IMT ground station applications as an example:

[0126] For virtual terminals, their antennas can adopt an omnidirectional radiation mode with a gain of 0dBi, that is, the gain of the terminal antenna in all directions is regarded as 0dBi. In this case, the antenna gain of the terminal in any direction is equal to 0dBi.

[0127] For station sector antennas operating in frequency bands such as 900MHz, 1.8GHz, and 2.1GHz, a joint modeling method based on the relative gain of the azimuth plane and elevation plane can be adopted. This method comprehensively considers the horizontal and vertical radiation patterns, as well as the horizontal gain compression effect when the azimuth changes, thereby giving the antenna gain in any direction.

[0128] Specifically, after determining the spatial orientation between a virtual base station and a sampling point, the signal detection device acquires the relative gain characteristics of the base station in the horizontal plane (azimuth plane) and the vertical plane (elevation plane). In this embodiment, firstly, based on the maximum gain value of the base station antenna and the locally stored 3dB beamwidth of the antenna (including horizontal and vertical beamwidth), the normalized azimuth and elevation parameters of the transmitting source in the direction toward the sampling point are calculated. Subsequently, based on the relative gain function in the azimuth plane and the relative gain function in the elevation plane, the gain attenuation on the two principal planes can be obtained respectively. It should be noted that in a real environment, when the azimuth angle deviates, the vertical plane radiation pattern will produce a corresponding compression effect. Therefore, this embodiment also introduces a horizontal gain compression ratio on the basis of the above, which is dynamically adjusted with the change of azimuth angle to more accurately reflect the actual combined gain of the antenna in any spatial direction. Meanwhile, to more accurately reflect the radiation contribution of the antenna sidelobes, this embodiment can also set a lower limit constraint on the sidelobe gain when calculating the relative gain. This lower limit value is related to the antenna's vertical beamwidth and preset sidelobe parameters. Regarding parameter values, if the station application information statistics table provides specific antenna model parameters, the corresponding horizontal beamwidth, vertical beamwidth, and maximum gain value are directly read and used; if not explicitly given in the table, default parameters for typical antenna scenarios are used (e.g., a sidelobe parameter of 0.7, a vertical plane slope factor of 0.3, etc.). Through the above method, the final antenna gain value of the sector antenna in the direction pointing towards the boundary line sampling point can be accurately obtained.

[0129] For stations operating in the 3.5 GHz frequency band, the radiation pattern of the composite array of sub-array antennas can be used for modeling. The combined gain of the entire array in the corresponding spatial azimuth can be calculated using parameters such as the element radiation pattern, the normalized radiation pattern, and the subarray vector.

[0130] By using the above classification modeling, accurate antenna gain values ​​can be given for different frequency bands and different antenna configurations, thereby ensuring the accuracy of subsequent field strength calculations.

[0131] In one optional embodiment, to illustrate the impact of the propagation environment on signal attenuation, the specific method for determining path loss is described below.

[0132] See Figure 5 This is a flowchart illustrating a path loss determination method provided in an embodiment of this application. Figure 5 As shown, the method includes steps 501 and 502.

[0133] Step 501: The signal detection device determines the spatial distance from each virtual IMT ground station and each virtual terminal to the sampling point based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point.

[0134] Step 502: The signal detection device determines the path loss based on the spatial distance and propagation environment information, using a propagation model corresponding to the propagation environment information.

[0135] In this embodiment, the selection of the propagation model corresponds to the propagation environment information; different radio climate zones and terrain environments correspond to different propagation characteristics. For the international application scenario of IMT ground stations, the propagation model can adopt the border coordination-specific propagation model specified in ITU-R Recommendation P.1546. When using the P.1546 model, the input parameters can include the signal frequency f (taken as the center frequency of the analysis band), the time probability p (taken from the bilateral coordination results, a fixed value in the protocol), the receiver altitude, and the radio climate zone where the receiver is located (e.g., coastal land, inland, sea, etc.). Using these parameters, the P.1546 model can provide predicted path loss values ​​under corresponding propagation conditions, thereby accurately reflecting the actual radio wave propagation patterns in border areas.

[0136] It is understood that the propagation model is not limited to P.1546, and those skilled in the art can select other applicable propagation models according to the specific propagation environment and protocol requirements, which does not affect the implementation of the embodiments of this application.

[0137] In one optional embodiment, to illustrate the integrated superposition of station and terminal signals, the specific method for determining the lumped signal field strength is described below.

[0138] See Figure 6 This is a flowchart illustrating a method for determining lumped signal field strength provided in an embodiment of this application. Figure 6 As shown, the method includes steps 601 to 603.

[0139] In this embodiment, the configuration parameters also include transmit power information from multiple IMT ground stations. The specific steps for determining the lumped signal field strength at the sampling point include:

[0140] Step 601: The signal detection device determines the first signal field strength component generated by each virtual IMT ground station at the sampling point based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station.

[0141] Step 602: The signal detection device determines the second signal field strength component generated by each virtual terminal at the sampling point based on the transmit power information, antenna gain, and path loss of each virtual terminal.

[0142] Step 603: The signal detection device performs lumped superposition of the first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal to obtain the lumped signal field strength of the sampling point.

[0143] First, the signal detection device determines the first signal field strength component generated by each virtual IMT ground station at the sampling point based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station.

[0144] In this embodiment, the first signal field strength component generated by a single virtual IMT ground station at the sampling point can be calculated by superimposing the transmit power spectral density (Ptx, in dBkW / MHz), the antenna gain (Gtx, in dBi) of the station's antenna pointing towards the sampling point, and the field strength value (E, in dB(μV / m)) generated at the sampling point by 1kW erp under the corresponding propagation conditions calculated based on propagation models such as P.1546. The result obtained is the first signal field strength component generated by the station at the sampling point, in dB(μV / m).

[0145] Then, the signal detection device determines the second signal field strength component generated by each virtual terminal at the sampling point based on the transmit power information, antenna gain, and path loss of each virtual terminal.

[0146] In this embodiment, the calculation method for the second signal field strength component generated by a single virtual terminal at a sampling point is similar to that for the first signal field strength component. It is also based on the terminal's transmit power spectral density, antenna gain (0 dBi for an omnidirectional antenna), and the corresponding propagation field strength value. The virtual terminal's transmit power information may include the terminal's maximum transmit power to reflect the terminal's signal contribution to the border sampling point under the most unfavorable conditions.

[0147] Finally, the signal detection device lumped together the first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal to obtain the lumped signal field strength of the sampling point.

[0148] In this embodiment, the lumped summation adopts the power superposition method, that is, the signal field strength of each signal source at the sampling point is converted into linear power, summed, and then converted back to the logarithmic domain, which can be expressed based on the following formula (1):

[0149] (Formula 1)

[0150] in, The summation signal strength at the sampling point for all stations and terminals in a certain frequency band. This represents the total number of stations participating in the calculation within the coverage area. This represents the total number of terminals participating in the calculation. for Activator (used to reflect) The actual transmission duty cycle of the system in the time domain is used to correct the field strength calculation results to more accurately reflect the actual time-averaged field strength level.

[0151] By aggregating and overlaying all stations and terminals, the comprehensive contribution of each signal source within the coverage area to the sampling points along the border can be fully accounted for, thus providing a comprehensive field strength index that is directly comparable to the bilateral agreement limit, ensuring the integrity and accuracy of the detection results.

[0152] In one optional embodiment, after obtaining the detection results of the sampling points, the method further includes: generating a visual detection map based on the detection results of the sampling points, so as to intuitively present the compliance status of each point on the border.

[0153] In this embodiment, when generating the visual detection map, sampling points with lumped signal field strength exceeding the international bilateral agreement limit are marked with a first color (e.g., red); sampling points with lumped signal field strength lower than or equal to the international bilateral agreement limit are marked with a second color (e.g., green); the first color and the second color are different so that the two states are visually distinct.

[0154] In one implementation, see Figure 7 This is a schematic diagram of a visual detection map provided in an embodiment of this application.

[0155] like Figure 7As shown, the color intensity of the sampling points in the visualization detection map can also be related to the relative magnitude of the signal strength. For example, the greater the signal strength, the darker the color (more red), and the smaller the signal strength, the lighter the color (more green). This not only indicates compliance but also intuitively reflects the relative strength distribution of the signal field at each sampling point, helping applicants quickly locate areas with high field strength on the border and providing a reference for adjusting the station deployment plan.

[0156] With the visualization of the inspection map, the station's reporting personnel can quickly grasp the compliance status of the entire border line from a macro perspective without having to check the numerical data point by point, which greatly improves the readability and usability of the inspection results.

[0157] It should be noted that the above-described method embodiments, or the various possible implementations of the method embodiments, can be executed individually, or, provided there is no conflict, they can be combined with each other. The specific implementation can be determined according to actual usage requirements, and this application embodiment does not impose any restrictions on this.

[0158] As can be seen, the above mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the embodiments of this application provide corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the modules and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0159] This application embodiment can divide the signal detection device for IMT ground station declaration into functional modules according to the above method example. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. Optionally, the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0160] In some embodiments, this application also provides a signal detection device for IMT ground station declaration. This signal detection device for IMT ground station declaration may include one or more functional modules for implementing the signal detection method for IMT ground station declaration described in the above method embodiments.

[0161] For example, Figure 8This is a schematic diagram of a signal detection device for IMT ground station application provided in an embodiment of this application. Figure 8 As shown, the signal detection device 800 for IMT ground station declaration includes: an acquisition module 801, a generation module 802, a determination module 803, and a comparison module 804.

[0162] The acquisition module 801 is used to acquire the configuration parameters of the terrestrial IMT system. The configuration parameters include the spatial location information, antenna radiation characteristics information and propagation environment information of multiple IMT ground stations.

[0163] The generation module 802 is used to generate multiple virtual IMT ground stations corresponding to multiple IMT ground stations and a virtual terminal corresponding to each virtual IMT ground station in the simulation environment based on spatial location information.

[0164] The determination module 803 is used to determine the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the geographical location information, antenna radiation characteristic information and propagation environment information of the sampling point on the border line.

[0165] The determination module 803 is also used to determine the lumped signal field strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point.

[0166] The comparison module 804 is used to compare the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

[0167] The signal detection device for IMT ground station declaration provided in this application first acquires the configuration parameters of the ground IMT system (including spatial location information, antenna radiation characteristic information, and propagation environment information of multiple IMT ground stations). Then, in a simulation environment, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and virtual terminals corresponding to each virtual IMT ground station are generated based on the spatial location information, so that the station layout and terminal distribution in the simulation environment are consistent with the actual ground IMT system. On this basis, according to the geographical location information, antenna radiation characteristic information, and propagation environment information of the sampling point on the border, the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point are calculated respectively, thereby determining the lumped signal field strength of the sampling point. Finally, the lumped signal field strength is compared with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point. The above method can systematically reconstruct the signal transmission environment of the actual ground IMT system in the simulation environment, fully take into account the comprehensive signal contribution of all stations and terminals to the sampling points on the border line, and calculate the lumped signal field strength at the sampling points based on accurate antenna gain and path loss. This enables automated and high-precision detection of the compliance of IMT station declarations, effectively solving the problems of lack of specific signal strength calculation methods and lack of reliable technical support for declaration compliance verification in the existing technology.

[0168] In some embodiments, the generation module 802 is specifically used for:

[0169] Based on the spatial location information of any first IMT ground station, a first virtual IMT ground station is generated in the simulation environment, and the spatial coordinates of the first virtual IMT ground station correspond to those of the first IMT ground station.

[0170] Multiple initial virtual terminals are generated within the cell area corresponding to the first virtual IMT ground station;

[0171] Based on the network access parameters corresponding to each of the multiple initial virtual terminals and the service capacity of the first virtual IMT ground station, a virtual terminal corresponding to the first virtual IMT ground station is determined from among the multiple initial virtual terminals.

[0172] In other embodiments, the determining module 803 is specifically used for:

[0173] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point is determined respectively.

[0174] Based on the antenna radiation characteristics of each virtual IMT ground station and each virtual terminal, the antenna gain of each virtual IMT ground station and each virtual terminal at the corresponding spatial azimuth is determined.

[0175] In some other embodiments, the determining module 803 is specifically used for:

[0176] Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial distance from each virtual IMT ground station and each virtual terminal to the sampling point is determined respectively.

[0177] Based on spatial distance and propagation environment information, path loss is determined using a propagation model corresponding to the propagation environment information.

[0178] In some other embodiments, the configuration parameters also include transmit power information for multiple IMT ground stations;

[0179] Module 803 is specifically used for:

[0180] Based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station, the first signal field strength component generated by each virtual IMT ground station at the sampling point is determined.

[0181] Based on the transmit power information, antenna gain, and path loss of each virtual terminal, the second signal field strength component generated by each virtual terminal at the sampling point is determined.

[0182] The first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal are lumped together to obtain the lumped signal field strength of the sampling point.

[0183] In some other embodiments, after comparing the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point, the generation module 802 is further configured to:

[0184] Generate a visual detection map based on the detection results of the sampling points;

[0185] Specifically, when the lumped signal field strength exceeds the limit of the international bilateral agreement, the sampling point is marked with the first color; or when the lumped signal field strength is lower than or equal to the limit of the international bilateral agreement, the sampling point is marked with the second color. The first color and the second color are different.

[0186] It should be noted that the signal detection device can implement all the processes implemented in the above method embodiments and achieve the same beneficial effects. To avoid repetition, it will not be described again here.

[0187] In the case where the functions of the integrated modules described above are implemented in hardware, this application provides a possible structural schematic diagram of the electronic device involved in the above embodiments. For example... Figure 9 As shown, the electronic device 90 includes: a processor 92, a communication interface 93, and a bus 94. Optionally, the electronic device 90 may also include a memory 91.

[0188] Processor 92 may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 92 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 92 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0189] Communication interface 93 is used to connect with other devices via a communication network. This communication network can be Ethernet, wireless access network, wireless local area network (WLAN), etc.

[0190] The memory 91 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto.

[0191] As one possible implementation, the memory 91 can exist independently of the processor 92. The memory 91 can be connected to the processor 92 via a bus 94 and is used to store instructions or program code. When the processor 92 calls and executes the instructions or program code stored in the memory 91, it can implement the signal detection method for IMT ground station declaration provided in this application embodiment.

[0192] In another possible implementation, memory 91 can also be integrated with processor 92.

[0193] Bus 94 can be an Extended Industry Standard Architecture (EISA) bus, etc. Bus 94 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 9 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0194] Through the above description of the implementation methods, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the signal detection device can be divided into different functional modules to complete all or part of the functions described above.

[0195] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described signal detection method embodiment for IMT ground station declaration, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0196] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0197] This application also provides a readable storage medium storing a program or instructions. When executed by a computer, the program or instructions implement the signal detection method for IMT ground station declaration provided in the above embodiments. It is understood that all or part of the processes in the above method embodiments can be executed by computer instructions instructing related hardware. The readable storage medium can be any of the foregoing embodiments or memory. The readable storage medium can also be an external storage device of the signal detection device, such as a pluggable hard drive, Smart Media Card (SMC), Secure Digital (SD) card, flash card, etc., equipped on the signal detection device. Further, the readable storage medium can include both internal storage units of the signal detection device and external storage devices. The readable storage medium is used to store the computer program and other programs and data required by the signal detection device. The readable storage medium can also be used to temporarily store data that has been output or will be output.

[0198] This application also provides a computer program product, which is stored in a storage medium and, when executed by a computer, implements the signal detection method for IMT ground station declaration provided in the above embodiments.

[0199] 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 apparatus 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 apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0200] 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 computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0201] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A signal detection method for IMT ground station declaration, characterized in that, include: Obtain the configuration parameters of the terrestrial IMT system, which include spatial location information, antenna radiation characteristics information, and propagation environment information of multiple IMT ground stations; Based on the spatial location information, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and a virtual terminal corresponding to each virtual IMT ground station are generated in the simulation environment. Based on the geographical location information of the sampling points on the border line, the antenna radiation characteristics information, and the propagation environment information, determine the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling points; The lumped signal strength of the sampling point is determined based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point. The lumped signal field strength is compared with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

2. The method according to claim 1, characterized in that, The step of generating multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and a virtual terminal corresponding to each virtual IMT ground station in the simulation environment based on the spatial location information includes: Based on the spatial location information of any first IMT ground station, a first virtual IMT ground station is generated in the simulation environment, and the spatial coordinates of the first virtual IMT ground station correspond to those of the first IMT ground station. Multiple initial virtual terminals are generated within the cell area corresponding to the first virtual IMT ground station; Based on the network access parameters corresponding to each of the plurality of initial virtual terminals and the service capacity of the first virtual IMT ground station, a virtual terminal corresponding to the first virtual IMT ground station is determined from the plurality of initial virtual terminals.

3. The method according to claim 1, characterized in that, The antenna gain is determined based on the following method: Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial orientation of each virtual IMT ground station and each virtual terminal relative to the sampling point is determined respectively; Based on the antenna radiation characteristic information of each virtual IMT ground station and each virtual terminal, the antenna gain of each virtual IMT ground station and each virtual terminal at the corresponding spatial azimuth is determined.

4. The method according to claim 1, characterized in that, The path loss is determined based on the following method: Based on the spatial location information of each virtual IMT ground station and each virtual terminal, as well as the geographical location information of the sampling point, the spatial distance from each virtual IMT ground station and each virtual terminal to the sampling point is determined respectively; The path loss is determined based on the spatial distance and the propagation environment information using a propagation model corresponding to the propagation environment information.

5. The method according to claim 1, characterized in that, The configuration parameters also include the transmit power information of the plurality of IMT ground stations; The step of determining the lumped signal strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point includes: Based on the transmit power information, antenna gain, and path loss of each virtual IMT ground station, determine the first signal field strength component generated by each virtual IMT ground station at the sampling point; Based on the transmit power information of each virtual terminal, the antenna gain, and the path loss, the second signal field strength component generated by each virtual terminal at the sampling point is determined; The first signal field strength component corresponding to each virtual IMT ground station and the second signal field strength component corresponding to each virtual terminal are lumped together and superimposed to obtain the lumped signal field strength of the sampling point.

6. The method according to claim 1, characterized in that, After comparing the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point, the method further includes: A visual detection map is generated based on the detection results of the sampling points; Wherein, if the lumped signal field strength exceeds the limit of the international bilateral agreement, the sampling point is marked with a first color; or, if the lumped signal field strength is lower than or equal to the limit of the international bilateral agreement, the sampling point is marked with a second color, wherein the first color and the second color are different.

7. A signal detection device for IMT ground station declaration, characterized in that, include: The acquisition module is used to acquire the configuration parameters of the terrestrial IMT system, which include spatial location information, antenna radiation characteristic information and propagation environment information of multiple IMT ground stations; The generation module is used to generate, in a simulation environment, multiple virtual IMT ground stations corresponding to the multiple IMT ground stations and a virtual terminal corresponding to each of the virtual IMT ground stations, based on the spatial location information. The determination module is used to determine the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point based on the geographical location information of the sampling point on the border line, the antenna radiation characteristic information, and the propagation environment information. The determining module is further configured to determine the lumped signal strength of the sampling point based on the antenna gain and path loss of each virtual IMT ground station and each virtual terminal relative to the sampling point; The comparison module is used to compare the lumped signal field strength with the international bilateral agreement limit corresponding to the sampling point to obtain the detection result of the sampling point.

8. An electronic device, characterized in that, It includes a processor and a memory, the memory storing programs or instructions that can run on the processor, the programs or instructions being executed by the processor to implement the signal detection method for IMT ground station declaration as described in any one of claims 1-6.

9. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a computer, implement the signal detection method for IMT ground station declaration as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product is stored in a storage medium, and when executed by a computer, the computer program product implements the signal detection method for IMT ground station declaration as described in any one of claims 1-6.

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