Antenna attitude detection methods, devices and electronic equipment

Abstract

This application discloses a method, apparatus, and electronic device for detecting antenna attitude. The method includes: acquiring the timing advance (TA) value of a user equipment within a first statistical period; determining the target TA distribution ratio of the timing advance TA value within multiple consecutive preset distance intervals; determining the intensity of change in the target TA distribution ratio within each preset distance interval based on the historical TA distribution ratio corresponding to each preset distance interval; and determining the antenna attitude based on the intensity of change. This application solves the technical problems of low efficiency and significant lag in related technologies that rely on manual on-site verification to detect changes in the attitude of spotlight antennas.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and more specifically, to a method, apparatus, and electronic device for detecting antenna attitude. Background Technology

[0002] In drip irrigation scenarios such as residential areas and universities, the installation of spotlight antennas can lead to unstable antenna supports and abnormal antenna posture due to inclement weather or component quality issues, resulting in severe degradation of user perception within the wireless signal coverage area. Currently, related technologies can only detect problems through manual on-site inspections, which is inefficient and has a significant time lag.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides an antenna attitude detection method, apparatus, and electronic device to at least solve the technical problems of low efficiency and strong lag in related technologies that rely on manual on-site verification to detect changes in the attitude of spotlight antennas.

[0005] According to one aspect of the embodiments of this application, an antenna attitude detection method is provided, comprising: acquiring the timing advance TA value of user equipment within a first statistical period, wherein the user equipment refers to all user equipment within the antenna coverage area; determining the target TA distribution ratio of the timing advance TA value in multiple consecutive preset distance intervals, wherein the multiple consecutive preset distance intervals are sequentially set from the base station as the starting point in the direction away from the base station; within each preset distance interval, determining the change intensity of the target TA distribution ratio based on the historical TA distribution ratio corresponding to each preset distance interval, wherein the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantify the change trend of the target TA distribution ratio; and determining the antenna attitude based on the change intensity.

[0006] In some embodiments of this application, within each preset distance interval, determining the intensity of change in the target TA distribution ratio based on the historical TA distribution ratio corresponding to each preset distance interval includes: obtaining a first set of TA distribution ratios corresponding to a first number of consecutive statistical periods prior to a first statistical period; determining a first index value corresponding to the target TA distribution ratio based on the first TA distribution ratio set, wherein the first index value is used to quantify the overall trend of change in the target TA distribution ratio within the first number of consecutive statistical periods; obtaining a second set of TA distribution ratios corresponding to a second number of consecutive statistical periods prior to the first statistical period, wherein the second number is less than the first number; determining a second index value corresponding to the target TA distribution ratio based on the second TA distribution ratio set, wherein the second index value is used to quantify the overall trend of change in the target TA distribution ratio within the second number of consecutive statistical periods; and determining the difference between the second index value and the first index value as the intensity of change.

[0007] In some embodiments of this application, after determining the difference between the second indicator value and the first indicator value as the intensity of change, the method further includes: obtaining a third set of TA distribution ratios corresponding to a third number of consecutive statistical periods prior to the first statistical period, wherein the third number is less than the second number; determining a third indicator value based on the difference and the third set of TA distribution ratios, wherein the third indicator value is used to filter fluctuations in the difference; determining a target value based on the difference and the third indicator value, and using the target value as the intensity of change.

[0008] In some embodiments of this application, determining the antenna attitude based on the intensity of change includes: determining a target distance interval from a plurality of consecutive preset distance intervals where the absolute value of the intensity of change satisfies a preset condition; and determining the antenna attitude based on the proximity of the target distance interval to the base station and the direction of change of the intensity of change.

[0009] In some embodiments of this application, multiple consecutive preset distance intervals are set in the following manner: the location of the base station is taken as the first starting point of the first preset distance interval, and a point at a first distance from the first starting point is taken as the first ending point of the first preset distance interval, wherein the first distance includes the physical distance corresponding to a preset number of timing advance TA values; the first ending point is taken as the second starting point of the second preset distance interval, and a point at a second distance from the second starting point is taken as the second ending point of the second preset distance interval, wherein the second distance includes the first distance; the interval distance from the second ending point to infinity is taken as the third preset distance interval.

[0010] In some embodiments of this application, the antenna attitude is determined based on the proximity of the target distance interval to the base station and the direction of change of the change intensity, including: when the target distance interval is a first preset distance interval and the change direction is positive, the antenna attitude is determined to be a low-profile attitude; when the target distance interval is a second preset distance interval or a third preset distance interval and the change direction is negative, the antenna attitude is determined to be a high-profile attitude.

[0011] In some embodiments of this application, determining the first index value corresponding to the target TA distribution ratio based on the first TA distribution ratio set includes: obtaining the first weight of the target TA distribution ratio and the weight corresponding to each distribution ratio in the first TA distribution ratio set, wherein the first weight is greater than the weight of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; and calculating the first index value by weighting the target TA distribution ratio and all distribution ratios in the first TA distribution ratio set according to their weights.

[0012] According to another aspect of the embodiments of this application, an antenna attitude detection apparatus is also provided, comprising: an acquisition module, configured to acquire timing advance TA values ​​of user equipment within a first statistical period, wherein the user equipment refers to all user equipment within the antenna coverage area; a first determination module, configured to determine the target TA distribution ratio of the timing advance TA values ​​in multiple consecutive preset distance intervals, wherein the multiple consecutive preset distance intervals are sequentially set from the base station as the starting point in a direction away from the base station; an execution module, configured to determine the change intensity of the target TA distribution ratio within each preset distance interval based on the historical TA distribution ratio corresponding to each preset distance interval, wherein the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantify the change trend of the target TA distribution ratio; and a second determination module, configured to determine the antenna attitude based on the change intensity.

[0013] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory and a processor, wherein the memory is used to store program instructions; the processor is connected to the memory and is used to execute the antenna attitude detection method described above.

[0014] According to another aspect of the embodiments of this application, a non-volatile storage medium is also provided, the non-volatile storage medium including a stored computer program, wherein the device containing the non-volatile storage medium executes the above-described antenna attitude detection method by running the computer program.

[0015] According to another aspect of the embodiments of this application, a computer program product is also provided, including computer instructions that, when executed by a processor, implement the above-described antenna attitude detection method.

[0016] In this embodiment, the antenna attitude is determined by analyzing the distribution ratio of the timing advance TA value of the user equipment in different distance intervals. This achieves the purpose of effectively identifying antenna attitude anomalies, thereby reducing manual intervention, realizing automated antenna attitude detection, and improving the user experience. It also solves the technical problem of low efficiency and strong lag in related technologies that rely on manual on-site verification to detect changes in the attitude of spotlight antennas. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a hardware structure block diagram of a computer terminal for an antenna attitude detection method according to an embodiment of this application;

[0019] Figure 2 This is a flowchart of an antenna attitude detection method according to an embodiment of this application;

[0020] Figure 3a This is a schematic diagram of the moving average of differences in the near-point region of an antenna attitude detection method according to an embodiment of this application.

[0021] Figure 3b This is a schematic diagram of the intensity change in the near-point region of an antenna attitude detection method according to an embodiment of this application;

[0022] Figure 3c This is a schematic diagram of the low-profile antenna posture according to an embodiment of the present application for an antenna posture detection method;

[0023] Figure 4a This is a schematic diagram of the moving average of differences in the mid-far point region of an antenna attitude detection method according to an embodiment of this application.

[0024] Figure 4b This is a schematic diagram of the intensity change in the mid-far point region of an antenna attitude detection method according to an embodiment of this application;

[0025] Figure 4c This is a schematic diagram of the antenna tilt-up attitude according to an embodiment of the present application for an antenna attitude detection method;

[0026] Figure 5This is a schematic diagram of an antenna attitude detection device according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] To better understand the embodiments of this application, the technical terms involved in the embodiments of this application are explained below:

[0030] Timing-Advance (TA): A key parameter in wireless communication, used to indicate the time offset of a mobile device relative to a base station. This corrects for differences in signal arrival time due to varying distances, ensuring uplink signal synchronization.

[0031] Measurement Report Statistics (MRS): In a wireless network, the statistical results of user equipment measurement data collected and analyzed by network devices include information such as signal strength, signal quality, and neighbor cell measurements. It is often used for network optimization and troubleshooting.

[0032] Exponential Weighted Moving Average (EWMA) is a data analysis method that smooths data by assigning higher weights to recent data and lower weights to older data, thereby reducing noise and identifying trends.

[0033] In drip irrigation scenarios such as residential areas and universities, spotlight antennas are typically used to provide wireless signal coverage. However, over time, the poor quality of these spotlight antennas has become increasingly apparent. After installation on the rooftops of residential buildings, school buildings, and dormitories, inclement weather and component quality issues can cause antenna supports to become unstable, resulting in antennas that are either low-hanging or tilted upwards. This severely degrades the user experience within the coverage area, and at higher installation heights, the antennas may even fall from the roof, posing a significant safety hazard to users. Current technologies cannot effectively monitor changes in the antenna's posture; problems can only be identified through manual on-site inspections, which is inefficient and time-consuming, hindering maintenance and user satisfaction.

[0034] To address the aforementioned technical problems, this application provides corresponding solutions, which are detailed below.

[0035] The antenna attitude detection method provided in this application can be executed in a mobile terminal, computer terminal, or similar computing device. Figure 1 A hardware block diagram of a computer terminal for implementing an antenna attitude detection method is shown. Figure 1 As shown, the computer terminal 10 may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions connected via wired and / or wireless networks. In addition, it may also include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0036] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be implemented wholly or partially as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuits may be a single, independent processing module, or may be wholly or partially integrated into any other element in the computer terminal 10. As involved in the embodiments of this application, the data processing circuits serve as processor control (e.g., selection of a variable resistor termination path connected to an interface).

[0037] The memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the antenna attitude detection method in this embodiment. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned antenna attitude detection method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0038] The transmission module 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission module 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission module 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0039] The display may be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user interface of the computer terminal 10.

[0040] It should be noted here that, in some optional embodiments, the above... Figure 1 The computer terminal shown may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that... Figure 1 This is only one instance of a specific particular instance, and is intended to illustrate the types of components that may exist in the aforementioned computer terminal.

[0041] In the above operating environment, this application provides an embodiment of an antenna attitude detection method. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0042] Figure 2 This is a flowchart of an antenna attitude detection method according to an embodiment of this application, such as... Figure 2 As shown, the method includes the following steps:

[0043] Step S202: Obtain the timing advance TA value of user equipment within the first statistical period, where user equipment refers to all user equipment within the antenna coverage area.

[0044] In step S202 above, due to the varying distances between the base station and user equipment at different locations, the signal propagation time will also differ. To ensure signal synchronization among multiple user equipment on the uplink, the network needs to correct this time difference. The timing advance (TA) value refers to the time offset of the user equipment (UE) relative to the base station, calculated by the network to ensure uplink signal synchronization with the base station. It reflects the distance between the UE and the base station and compensates for signal propagation delay. In 4G and 5G networks, the TA value is calculated based on the distance between the user equipment and the base station. For example, the TA distance corresponding to a 15kHz subcarrier is approximately 78 meters, and the TA distance corresponding to a 30kHz subcarrier is approximately 39 meters.

[0045] In some embodiments of this application, network devices (such as base stations) can automatically collect the TA value of the UE through an uplink feedback mechanism. This process involves the base station monitoring the uplink signals sent by the UE and calculating the TA value based on the signal arrival time. For example, each time the UE communicates with the base station, the base station automatically calculates the UE's TA value based on the analysis of the signal arrival time and records it in the MRS (Measurement Report Statistics) data. The system can retrieve the TA value records of all UEs within the first statistical period by querying the base station's MRS database. These records may include the UE identifier, TA value, and corresponding collection time.

[0046] Step S204: Determine the target TA distribution ratio of the advance TA value in multiple consecutive preset distance intervals, wherein the multiple consecutive preset distance intervals are set sequentially from the base station as the starting point in the direction away from the base station.

[0047] In step S204 above, in order to analyze the UE distribution in detail, the network coverage area can be divided into multiple consecutive preset distance intervals. These intervals are set from the base station as the starting point and extend outwards from the base station in sequence. Each interval corresponds to a TA value range.

[0048] In some embodiments of this application, multiple consecutive preset distance intervals can be set in the following manner: specifically, the location of the base station is taken as the first starting point of the first preset distance interval, and a point at a first distance from the first starting point is taken as the first ending point of the first preset distance interval, wherein the first distance includes the physical distance corresponding to a preset number of timing advance TA values; the first ending point is taken as the second starting point of the second preset distance interval, and a point at a second distance from the second starting point is taken as the second ending point of the second preset distance interval, wherein the second distance includes the first distance; the interval distance from the second ending point to infinity is taken as the third preset distance interval.

[0049] (1) Setting the first preset distance interval: The base station location can be set as the starting point (i.e. 0 meters) of the first preset distance interval, and then the first ending point is determined according to the preset number of TA values. For example, in a 4G network, if the preset number is 3 TA values, then the first distance will be about 234 meters (78 meters for each TA value), and the first ending point is the point 234 meters away from the base station.

[0050] (2) Setting the second preset distance interval: Take the first end point (i.e. the first distance of 234 meters) as the second starting point of the second preset distance interval, and then set the second end point. This second end point can be the total distance of the two preset distance intervals. For example, in a 4G network, if the first distance is 234 meters, the second distance can be 468 meters.

[0051] (3) Setting the third preset distance interval: The distance from the second end point (468 meters in the example above) to infinity is defined as the third preset distance interval. Since the coverage of the wireless communication network is limited, "infinity" here actually refers to the remaining coverage area beyond the end point of the second preset distance interval.

[0052] Dividing the network coverage area into three zones—near (first preset distance zone), medium (second preset distance zone), and far (third preset distance zone)—facilitates a detailed analysis of user equipment (UE) distribution at different distances. This division allows for more accurate capture of the impact of antenna attitude changes (such as low-angle or high-angle) on UE distribution ratios. For example, when the antenna is low-angled, UEs may be more concentrated in the near area, while when the antenna is high-angled, the UE distribution may shift towards the far area. By monitoring the changes in UE distribution ratios across the three zones, abnormalities in the antenna attitude can be detected promptly. Furthermore, the three-zone division provides a balance: too many zones increase computational complexity and data processing burden, while too few zones may fail to accurately reflect subtle changes in UE distribution. The three-zone division represents an optimal trade-off based on practical experience and requirements, providing sufficient monitoring accuracy while maintaining computational efficiency.

[0053] The target TA distribution ratio refers to the actual distribution ratio of UEs within multiple consecutive preset distance intervals during the first statistical period, reflecting the distribution of UEs in different distance intervals. In some embodiments of this application, the TA value of each UE can be mapped to its corresponding preset distance interval. For example, if the TA value of a UE is 10, it is determined that it is located in the preset distance interval corresponding to approximately 780 meters from the base station. Within each preset distance interval, the number of UEs within that preset distance interval is counted, and the proportion of the number of UEs in that interval to the total number of UEs is calculated to obtain the target TA distribution ratio.

[0054] Step S206: Within each preset distance interval, determine the change intensity of the target TA distribution ratio based on the historical TA distribution ratio corresponding to each preset distance interval. The historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio.

[0055] In step S206 above, the historical TA distribution ratio refers to the TA distribution of UEs in different preset distance intervals within at least one statistical period prior to the first statistical period. The historical ratio reflects the UE distribution characteristics of the spotlight antenna under normal conditions and is the basis for setting the intensity of the target TA distribution ratio change. In some embodiments of this application, the system can obtain the historical TA distribution ratio by collecting and analyzing MRS data from at least one statistical period prior to the first statistical period, counting the number of UEs in each distance interval, and calculating their proportion of the total number of UEs. For example, it might be calculated that in the previous statistical period, the proportion of UEs in the near-point area was 30%, in the mid-point area it was 50%, and in the far-point area it was 20%.

[0056] The change intensity is used to quantify the difference between the target TA distribution ratio and the historical TA distribution ratio, reflecting the changing trend of the UE distribution ratio within the current statistical period. Within each preset distance interval, the target TA distribution ratio of the first statistical period can be compared with the corresponding historical TA distribution ratio to calculate the change intensity. In some embodiments of this application, the change intensity is expressed as the difference or ratio between the two; for example, if the target TA distribution ratio changes from 30% to 40% in the near-point area, the change intensity is +10%. The change intensity can be implemented through simple mathematical calculations, such as subtraction or division, or more complex statistical methods, such as the exponential moving average (EMA) algorithm, can be used to smooth the change intensity and reduce the impact of short-term fluctuations.

[0057] To more accurately determine antenna attitude changes and avoid misjudgments caused by short-term data fluctuations, the intensity of the change can be determined by comparing the TA distribution ratios of different historical periods. Specifically: First, obtain a set of first TA distribution ratios corresponding to a first number of consecutive statistical periods prior to the first statistical period; determine a first index value corresponding to the target TA distribution ratio based on the first TA distribution ratio set, where the first index value quantifies the overall trend of the target TA distribution ratio within the first number of consecutive statistical periods; second, obtain a set of second TA distribution ratios corresponding to a second number of consecutive statistical periods prior to the first statistical period, where the second number is less than the first number; determine a second index value corresponding to the target TA distribution ratio based on the second TA distribution ratio set, where the second index value quantifies the overall trend of the target TA distribution ratio within the second number of consecutive statistical periods; and determine the difference between the second index value and the first index value as the intensity of the change.

[0058] The first statistical period refers to the period of statistical data currently being analyzed, which is used to compare with historical data to determine the attitude changes of the spotlight antenna.

[0059] The first number of consecutive statistical periods refers to multiple consecutive statistical periods used for reference prior to the first statistical period. Data within these periods is used to calculate the long-term trend (first indicator value). The first TA distribution ratio set contains the TA distribution ratio data of the UE in different preset distance intervals for each statistical period within the first number of consecutive statistical periods. The first indicator value is used to quantify the overall trend of the target TA distribution ratio within the first number of consecutive statistical periods. It can be obtained by processing the first TA distribution ratio set using statistical analysis methods such as moving average and exponential moving average (EMA).

[0060] To more accurately reflect the changing trend of the TA distribution ratio in the current period, a weighted average calculation method can be used to determine the first indicator value: obtain the first weight of the target TA distribution ratio and the weight corresponding to each distribution ratio in the first TA distribution ratio set, wherein the first weight is greater than the weight of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; calculate the first indicator value by weighting the target TA distribution ratio and all distribution ratios in the first TA distribution ratio set according to their weights.

[0061] The first weight refers to the weight of the target TA distribution proportion, which is higher than the weight of all other data points in the first TA distribution proportion set. The setting of the first weight emphasizes the central role of the current period data in reflecting the overall trend. In some embodiments of this application, the determination of the first weight is typically based on experience or algorithm optimization, reflecting the importance of the current period data in the overall trend analysis. For example, the first weight can be set to 1, while the weights of historical data can be set to 0.9, 0.8, 0.7, etc., decreasing sequentially.

[0062] The weight corresponding to each distribution proportion in the first set of TA distribution proportions refers to the weight assigned to each historical TA distribution proportion within the first number of consecutive statistical periods. The weight decreases as the time distance between the statistical period and the first statistical period increases. Setting a decreasing weight reduces the influence of historical data on the current period's trend, allowing the analysis to focus more on recent data. This can be achieved through mathematical formulas or logical rules; for example, an exponential decay function can be used to calculate the weight, with the weight decreasing for statistical periods further removed from the current period.

[0063] In some embodiments of this application, the first index value can be calculated using the following formula:

[0064] EX X =[TA×2+EX] X-1 [×(X-1)] / (X+1) (1)

[0065] Among them, EX X This represents the exponentially decaying weighted moving average (e.g., the first indicator value, the second indicator value) calculated in the Xth statistical period, where TA represents the target TA distribution proportion, and EX... X-1 This represents the exponentially decaying weighted moving average calculated for the previous statistical period (the (X-1)th period), where X-1 represents the weight of the previous statistical period (the (X-1)th period), and "2" represents the first weight.

[0066] The second set of consecutive statistical periods is similar to the first set, but with fewer periods. Data within these periods is used to calculate the short-term trend (second indicator value). The second TA distribution ratio set contains the TA distribution ratio data for each statistical period within different preset distance intervals in the second set of consecutive statistical periods. The second indicator value is used to quantify the overall trend of the target TA distribution ratio within the second set of consecutive statistical periods. The determination method for the second indicator value can be the same as that for the first indicator value, and will not be elaborated here. The above formula can be used to process the TA distribution ratio in any preset distance interval using long-term and short-term methods to obtain EX. X_long (First indicator value), EX X_short(Second indicator value). Because different weights were assigned to historical data within the period based on X_long and X_short during processing, the influence of earlier indicators was not discarded when focusing on recent indicators; therefore, EX... X_long EX X_short While maintaining a certain degree of stability, it can reflect the long-term and short-term trends of the TA distribution proportion. The more recent the time period, the greater the weight of the TA distribution proportion, and the more timely the changes in the TA distribution proportion can be reflected.

[0067] The intensity of change can be represented by the difference between the second and first indicator values, indicating the difference between the changing trend of the target TA distribution proportion over a shorter period and its long-term trend. The intensity of change can be calculated using the following formula:

[0068] DIF=EX X_short -EX X_long (2)

[0069] Here, DIF represents the intensity of change. When DIF > 0, the proportion of UEs in the corresponding preset distance range increases in the short term; when DIF < 0, the proportion of UEs in the corresponding preset distance range decreases in the short term.

[0070] After determining the difference between the second indicator value and the first indicator value as the intensity of change, the following steps can be performed: obtain the set of the third TA distribution proportions corresponding to the third number of consecutive statistical periods before the first statistical period, wherein the third number is less than the second number; determine the third indicator value based on the difference and the set of the third TA distribution proportions, wherein the third indicator value is used to filter the fluctuations in the difference; determine the target value based on the difference and the third indicator value, and use the target value as the intensity of change.

[0071] The third indicator value is calculated based on the third TA distribution proportion set and is used to filter out short-term fluctuations in the difference, ensuring that the intensity of change reflects a meaningful long-term trend rather than random noise. The method for determining the third indicator value can be the same as that for the first indicator value, and will not be repeated here.

[0072] The target value can be calculated using the following formula:

[0073] H = 2 × (DIF - DEA) (3)

[0074] Here, H represents the target value, and DEA represents the third indicator value. When H is greater than the set threshold, it can be determined that the spotlight antenna attitude is abnormal.

[0075] Step S208: Determine the antenna's attitude based on the intensity of the change.

[0076] In step S208 above, in order to quickly locate the area of ​​antenna attitude problem and facilitate targeted adjustments by network optimization personnel, the antenna attitude can be determined by the following steps: determine the target distance interval from multiple consecutive preset distance intervals where the absolute value of the change intensity meets the preset conditions; determine the antenna attitude based on the distance between the target distance interval and the base station and the direction of change of the change intensity.

[0077] In some embodiments of this application, the antenna attitude can be determined by the following steps: when the target distance range is a first preset distance range and the direction of change is positive, the antenna attitude is determined to be a low-profile attitude; when the target distance range is a second preset distance range or a third preset distance range and the direction of change is negative, the antenna attitude is determined to be a high-profile attitude.

[0078] A low-profile orientation refers to a spotlight antenna tilted downwards relative to its ideal vertical mounting position, causing the antenna's primary radiation direction to be more biased towards the ground or a closer area. This abnormal orientation typically results in increased signal strength received by user equipment (UEs) in the near-point area and decreased signal strength received by UEs in the far-point area, thus altering the distribution ratio of UEs at different distances. In spotlight antenna orientation monitoring, if a significant positive increase in the proportion of UEs in a first preset distance interval (e.g., [0, 234] meters, i.e., the near-point area) is detected, i.e., the intensity of the change (the direction of change is positive) exceeds a preset threshold, it can be determined that the antenna is in a low-profile orientation.

[0079] A tilted-up attitude refers to a spotlight antenna tilted upwards relative to its ideal vertical installation position, causing the antenna's main radiation direction to be more biased towards the sky or a more distant area. This abnormal attitude usually results in a decrease in the signal strength received by UEs in the near-point area, while the signal strength received by UEs in the far-point area may increase, changing the distribution ratio of UEs at different distances. In spotlight antenna attitude monitoring, if a significant reverse change (the direction of change is negative) is detected in the proportion of UEs in the second preset distance interval (e.g., [234, 468] meters, i.e., the midpoint area) or the third preset distance interval (e.g., [468, ∞] meters, i.e., the far-point area), i.e., the change intensity is lower than a preset threshold, it can be determined that the antenna is in a tilted-up attitude.

[0080] Taking three consecutive preset distance intervals [0, 234) meters, [234, 468) meters, and [468, ∞) meters as examples, when the change intensity is the difference between the second index value and the first index value, the target distance interval where the absolute value of the change intensity DIF meets the preset condition (such as exceeding a threshold) can be determined from the three preset distance intervals. For example, if the absolute value of DIF exceeds the threshold in the [0, 234) meter interval, it indicates that the distribution ratio of near-point UEs (UEs in the first preset distance interval) has changed significantly; if the target distance interval is [0, 234) meters and DIF > 0, it indicates that the proportion of near-point users has increased, which may mean that the antenna is low-profile; if DIF < 0, it indicates that the proportion of near-point users has decreased, which may mean that the antenna is high-profile. Similarly, for the [234, 468) meter and [468, ∞) meter intervals, the trend of antenna attitude change can be judged by the positive and negative changes of DIF.

[0081] When the target value (H) is determined based on the difference and the third indicator value to assess the intensity of change, the preset distance interval with the largest H value can be identified as the target distance interval. The larger the H value, the more significant the change in the UE distribution ratio. For example, for the three distance intervals of near point, mid point, and far point, if the H value of the target distance interval is positive and exceeds the threshold, it indicates a short-term increase in the UE proportion, and the antenna can be determined to be low-profile; if the H value is negative and below the threshold, it indicates a short-term decrease in the UE proportion, and the antenna can be determined to be high-profile.

[0082] Through steps S202 to S208, the antenna attitude is determined by analyzing the distribution ratio of the user equipment's timing advance TA value in different distance intervals. This achieves the goal of effectively identifying antenna attitude anomalies, thereby reducing manual intervention, realizing automated antenna attitude detection, and improving user experience. It also solves the technical problem of low efficiency and strong lag in related technologies that rely on manual on-site verification to detect changes in the attitude of spotlight antennas.

[0083] This application generates moving averages of similarity and difference by applying long-term and short-term exponentially decreasing weighted moving averages to the distribution proportions of TA (Transient Attitude) across multiple preset distance intervals. Then, a second exponentially decreasing weighted moving average smoothing process is applied to the dispersion difference of these moving averages. By analyzing the intensity of changes in these indicators, automated and precise monitoring of antennas with abnormal attitudes can be achieved, enabling the restoration of wireless network quality before user complaints arise and improving user satisfaction.

[0084] To facilitate understanding of the above content, two specific embodiments are provided below for explanation. Figure 3a , Figure 3b , Figure 3c For a specific implementation example, Figure 4a , Figure 4b , Figure 4cThis corresponds to another specific embodiment.

[0085] Figure 3a This is a schematic diagram of the moving average of differences in the near-point region of an antenna attitude detection method according to an embodiment of this application, as shown in the figure. Figure 3a As shown, the horizontal axis (X-axis) represents time, from 0 to 14 days, used to display the changing trend of TA distribution ratio within different time periods. Each point corresponds to a statistical period, reflecting the smoothed value of the UE distribution ratio of the spotlight antenna within that period. The vertical axis (Y-axis) represents the smoothing value, including near-point smoothing 1 (first indicator value) and near-point smoothing 2 (second indicator value), ranging from 0 to 10. The smoothing value reflects the result of long-term and short-term exponentially decreasing weighted moving average smoothing of the UE distribution ratio in different distance segments. The higher the smoothing value, the higher the distribution ratio of UEs in that distance segment. The blue solid line (circle marker) represents near-point smoothing 1, i.e., the long-term exponential moving average, reflecting the long-term changing trend of the UE distribution ratio in the near-point area. The orange solid line (triangle marker) represents near-point smoothing 2, i.e., the short-term exponential moving average, reflecting the short-term changing trend of the UE distribution ratio in the near-point area. Figure 3a By comparing long-term and short-term smoothing values, we can observe the long-term and short-term trends in the distribution ratio of UEs in the near-point area, thus providing a basis for judging antenna attitude anomalies.

[0086] Figure 3b This is a schematic diagram of the intensity change in the near-point region of an antenna attitude detection method according to an embodiment of this application, as shown in the figure. Figure 3b As shown, the horizontal axis (X-axis) represents time, from day 0 to day 14, and is used to display how the intensity of change changes over time. The vertical axis (Y-axis) represents the intensity of change in near-point distribution, H, ranging from 0 to 3 (and can also be negative). The intensity of change H is a calculated metric used to quantify the difference between short-term and long-term changes in the proportion of UEs distributed in the near-point region. The blue dots represent the intensity of change H value for a specific day; for example, the intensity of change H value corresponding to X12 (day 12) in the figure is 2.69132. Figure 3b By displaying the dynamic changes in the intensity H value, it is possible to intuitively determine whether the antenna attitude is abnormal. For example, when the H value suddenly increases and exceeds a preset threshold, it may mean that the antenna is low-set, while the opposite may mean that the antenna is tilted up.

[0087] Figure 3a Show the long-term and short-term trends of the TA distribution ratio of UE in the near-point area. Figure 3b Based on Figure 3aThe change intensity H was calculated from the trend difference. By comparing the difference between the short-term smoothed line (near-point smoothing 2) and the long-term smoothed line (near-point smoothing 1) in the above figure, the DIF value was calculated, and then the DIF value was further processed to obtain the change intensity H. When the H value increases significantly (positive change) and exceeds the preset threshold, combined with the upward trend of the near-point UE distribution ratio in the above figure, it can be judged that the antenna attitude is abnormal. It can be seen that in this embodiment, the near-point user distribution of this antenna sector was relatively stable in the early stage. On the 11th day of monitoring, the short-term near-point TA distribution ratio changed abruptly, and the change intensity increased rapidly, exceeding the threshold. Therefore, it was determined that the antenna was low-lying. After on-site verification, as shown... Figure 3c As shown, relative to the original antenna orientation (corresponding to angle θ), the antenna is now in a low-profile state (corresponding to angle θ1). Reviewing the performance data, the near-point TA distribution percentage for this sector is [40.6 39.8 42.1 43.5 42.3 41.4 43.2 42.9 44.1 43.8 42.6 70.9 75.2 90.4]. The near-point TA distribution percentage abruptly jumps from around 40% to over 70%, and then increases to 90.4%, consistent with the characteristics of a low-profile antenna.

[0088] Figure 4a This is a schematic diagram of the moving average of differences in the mid-far point region of an antenna attitude detection method according to an embodiment of this application. Figure 4b This is a schematic diagram of the intensity change in the mid-far point region of an antenna attitude detection method according to an embodiment of this application. The meanings of the horizontal and vertical axes are the same as those of the antenna attitude detection method according to an embodiment of this application. Figure 3a , Figure 3b This is consistent and will not be elaborated further. The change intensity H value corresponding to X9 (day 9) in the figure is 1.47197. In this embodiment, the distribution of mid-to-far point users in this antenna sector was relatively stable in the early stage. On the 9th day of monitoring, the proportion of short-term mid-to-far point TA distribution changed abruptly, and the change intensity rapidly increased beyond the threshold, therefore it was determined that the antenna was tilting upwards. This was verified on-site. Figure 4c As shown, relative to the original antenna attitude (corresponding to angle θ), the antenna is now in a tilted-up state (corresponding to angle θ2). Reviewing the performance data, the proportion of the mid-far point TA distribution in this sector is [56.3 57.5 54.8 58.6 59.4 58.6 60.8 61.3 75.8 80.6 81.2 83.4 86.2]. The mid-far point TA distribution proportion abruptly jumps from around 60% to over 75%, and then increases to 86.2%, consistent with the antenna tilting-up characteristic.

[0089] Figure 5 This is a structural diagram of an antenna attitude detection device according to an embodiment of this application, as shown below. Figure 5 As shown, the device includes:

[0090] The acquisition module 502 is used to acquire the timing advance TA value of user equipment within the first statistical period, wherein the user equipment refers to all user equipment within the antenna coverage area;

[0091] The first determining module 504 is used to determine the target TA distribution ratio of the advance TA value in multiple consecutive preset distance intervals, wherein the multiple consecutive preset distance intervals are set sequentially from the base station as the starting point in the direction away from the base station.

[0092] The execution module 506 is used to determine the change intensity of the target TA distribution ratio within each preset distance interval based on the historical TA distribution ratio corresponding to each preset distance interval. The historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent the change trend of the target TA distribution ratio.

[0093] The second determining module 508 is used to determine the antenna's attitude based on the intensity of the change.

[0094] In the aforementioned antenna attitude detection device, the execution module is further configured to: acquire a first set of TA distribution ratios corresponding to a first number of consecutive statistical periods prior to the first statistical period; determine a first index value corresponding to the target TA distribution ratio based on the first TA distribution ratio set, wherein the first index value is used to quantify the overall trend of change of the target TA distribution ratio within the first number of consecutive statistical periods; acquire a second set of TA distribution ratios corresponding to a second number of consecutive statistical periods prior to the first statistical period, wherein the second number is less than the first number; determine a second index value corresponding to the target TA distribution ratio based on the second TA distribution ratio set, wherein the second index value is used to quantify the overall trend of change of the target TA distribution ratio within the second number of consecutive statistical periods; and determine the difference between the second index value and the first index value as the change intensity.

[0095] In the aforementioned antenna attitude detection device, the execution module is further configured to obtain a third set of TA distribution ratios corresponding to a third number of consecutive statistical periods prior to the first statistical period, wherein the third number is less than the second number; determine a third index value based on the difference and the third set of TA distribution ratios, wherein the third index value is used to filter fluctuations in the difference; determine a target value based on the difference and the third index value, and use the target value as the intensity of change.

[0096] In the aforementioned antenna attitude detection device, the second determining module is further configured to determine a target distance interval from multiple consecutive preset distance intervals where the absolute value of the change intensity satisfies preset conditions; and to determine the antenna attitude based on the proximity of the target distance interval to the base station and the direction of change of the change intensity.

[0097] In the aforementioned antenna attitude detection device, the second determining module is further configured to: use the location of the base station as the first starting point of the first preset distance interval; use a point at a first distance from the first starting point as the first ending point of the first preset distance interval, wherein the first distance includes the physical distance corresponding to a preset number of timing advance (TA) values; use the first ending point as the second starting point of the second preset distance interval; use a point at a second distance from the second starting point as the second ending point of the second preset distance interval, wherein the second distance includes the first distance; and use the interval distance from the second ending point to infinity as the third preset distance interval.

[0098] In the aforementioned antenna attitude detection device, the second determining module is further configured to determine the antenna attitude as a low-profile attitude when the target distance range is a first preset distance range and the direction of change is positive; and to determine the antenna attitude as a high-profile attitude when the target distance range is a second preset distance range or a third preset distance range and the direction of change is negative.

[0099] In the aforementioned antenna attitude detection device, the execution module is further configured to obtain the first weight of the target TA distribution ratio and the weight corresponding to each distribution ratio in the first TA distribution ratio set, wherein the first weight is greater than the weight of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases sequentially with the distance between the statistical period corresponding to the distribution ratio and the first statistical period; and the target TA distribution ratio and all distribution ratios in the first TA distribution ratio set are weighted and averaged according to their weights to obtain the first index value.

[0100] It should be noted that, Figure 5 The antenna attitude detection device shown is used to perform... Figure 2 The antenna attitude detection method shown is therefore Figure 2 The explanations and descriptions in the antenna attitude detection method also apply to Figure 5 The antenna attitude detection device shown will not be described in detail here.

[0101] This application also provides an electronic device, which includes a memory and a processor. The memory is used to store program instructions, and the processor is connected to the memory to execute steps of the antenna attitude detection method implemented in various embodiments of this application.

[0102] For example, a processor performs the following functions by executing program instructions stored in memory:

[0103] Obtain the timing advance TA value of user equipment within the first statistical period, where user equipment refers to all user equipment within the antenna coverage area; determine the target TA distribution ratio of the timing advance TA value in multiple consecutive preset distance intervals, where the multiple consecutive preset distance intervals are set sequentially from the base station as the starting point in the direction away from the base station; within each preset distance interval, determine the change intensity of the target TA distribution ratio based on the historical TA distribution ratio corresponding to each preset distance interval, where the historical TA distribution ratio is the distribution ratio corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantify the change trend of the target TA distribution ratio; determine the antenna attitude based on the change intensity.

[0104] This application also provides a non-volatile storage medium including a stored computer program, wherein the device containing the non-volatile storage medium executes the steps of the antenna attitude detection method in various embodiments of this application by running the computer program.

[0105] This application also provides a computer program product, including computer instructions that, when executed by a processor, implement the steps of the antenna attitude detection method in various embodiments of this application.

[0106] This application also provides a computer program that, when executed by a processor, implements the steps of the antenna attitude detection method in various embodiments of this application.

[0107] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0108] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0109] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0110] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0111] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0112] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0113] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method of detecting an antenna attitude, characterized by, The method comprises: acquiring timing advance (TA) values of user equipment in a first statistical period, wherein the user equipment is all user equipment in an antenna coverage area; determining target TA distribution proportions of the timing advance (TA) values in a plurality of continuous preset distance intervals, wherein the plurality of continuous preset distance intervals are sequentially arranged from a base station to a direction away from the base station; in each preset distance interval, determining a change intensity of the target TA distribution proportion according to a historical TA distribution proportion corresponding to the each preset distance interval, wherein the historical TA distribution proportion is a distribution proportion corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent a change trend of the target TA distribution proportion; determining a posture of the antenna according to the change intensity. In each preset distance interval, determining a change intensity of the target TA distribution proportion according to a historical TA distribution proportion corresponding to the each preset distance interval comprises: acquiring a first TA distribution proportion set corresponding to a first number of continuous statistical periods before the first statistical period; determining a first index value corresponding to the target TA distribution proportion according to the first TA distribution proportion set, wherein the first index value is used to quantitatively represent a total change trend of the target TA distribution proportion in the first number of continuous statistical periods; acquiring a second TA distribution proportion set corresponding to a second number of continuous statistical periods before the first statistical period, wherein the second number is less than the first number; determining a second index value corresponding to the target TA distribution proportion according to the second TA distribution proportion set, wherein the second index value is used to quantitatively represent a total change trend of the target TA distribution proportion in the second number of continuous statistical periods; and determining a difference between the second index value and the first index value as the change intensity.

2. The method of claim 1, wherein, After determining the difference between the second index value and the first index value as the change intensity, the method further comprises: acquiring a third TA distribution proportion set corresponding to a third number of continuous statistical periods before the first statistical period, wherein the third number is less than the second number; determining a third index value according to the difference and the third TA distribution proportion set, wherein the third index value is used to filter fluctuations in the difference; determining a target value according to the difference and the third index value, and taking the target value as the change intensity.

3. The method of claim 1, wherein, Determining the posture of the antenna according to the change intensity comprises: determining a target distance interval in which an absolute value of the change intensity satisfies a preset condition from the plurality of continuous preset distance intervals; determining the posture of the antenna according to a distance relationship between the target distance interval and the base station and a change direction of the change intensity.

4. The method of claim 3, wherein, The plurality of continuous preset distance intervals are set by the following method: The position where the base station is located is taken as a first starting point of a first preset distance interval, and a point with a first distance from the first starting point is taken as a first ending point of the first preset distance interval, where the first distance includes a physical distance corresponding to a preset number of timing advance (TA) values; The first ending point is taken as a second starting point of a second preset distance interval, and a point with a second distance from the second starting point is taken as a second ending point of the second preset distance interval, where the second distance includes the first distance; An interval distance corresponding to the second ending point to infinity is taken as a third preset distance interval.

5. The method of claim 4, wherein, The posture of the antenna is determined according to a relationship between the target distance interval and the base station and a change direction of the change intensity, including: In a case where the target distance interval is the first preset distance interval and the change direction is a positive direction, the posture of the antenna is determined as a low-crouching posture; In a case where the target distance interval is the second preset distance interval or the third preset distance interval and the change direction is a reverse direction, the posture of the antenna is determined as a head-raising posture.

6. The method of claim 1, wherein, A first index value corresponding to the target TA distribution ratio is determined according to the first TA distribution ratio set, including: A first weight of the target TA distribution ratio and a weight corresponding to each distribution ratio in the first TA distribution ratio set are obtained, where the first weight is greater than the weight of all distribution ratios in the first TA distribution ratio set, and the weight corresponding to each distribution ratio in the first TA distribution ratio set decreases in turn with a distance between a statistical period corresponding to the distribution ratio and the first statistical period; The target TA distribution ratio and all distribution ratios in the first TA distribution ratio set are weighted and averaged according to the weights to obtain the first index value.

7. An apparatus for antenna pose detection, the apparatus comprising: including: The acquisition module is configured to acquire timing advance (TA) values of a user equipment in a first statistical period, where the user equipment is all user equipments in an antenna coverage area; The first determination module is configured to determine target TA distribution ratios of the TA values in a plurality of continuous preset distance intervals, respectively, where the plurality of continuous preset distance intervals are sequentially arranged in a direction away from the base station with the base station as a starting point. The execution module is configured to determine a change intensity of the target TA distribution proportion in each preset distance interval according to a historical TA distribution proportion corresponding to each preset distance interval, wherein the historical TA distribution proportion is a distribution proportion corresponding to at least one statistical period before the first statistical period, and the change intensity is used to quantitatively represent a change trend of the target TA distribution proportion. In each preset distance interval, the change intensity of the target TA distribution proportion is determined according to the historical TA distribution proportion corresponding to each preset distance interval, including: obtaining a first TA distribution proportion set corresponding to a first number of continuous statistical periods before the first statistical period; determining a first index value corresponding to the target TA distribution proportion according to the first TA distribution proportion set, wherein the first index value is used to quantitatively represent a total change trend of the target TA distribution proportion in the first number of continuous statistical periods; obtaining a second TA distribution proportion set corresponding to a second number of continuous statistical periods before the first statistical period, wherein the second number is less than the first number; determining a second index value corresponding to the target TA distribution proportion according to the second TA distribution proportion set, wherein the second index value is used to quantitatively represent a total change trend of the target TA distribution proportion in the second number of continuous statistical periods; and determining a difference between the second index value and the first index value as the change intensity. The second determination module is configured to determine the attitude of the antenna according to the change intensity.

8. An electronic device, comprising: The memory and the processor are configured to implement the method for detecting the attitude of the antenna. The non-volatile storage medium includes a stored computer program, wherein a device where the non-volatile storage medium is located implements the method for detecting the attitude of the antenna by running the computer program.

9. A non-volatile storage medium, comprising: The computer instructions are executed by the processor to implement the method for detecting the attitude of the antenna.

10. A computer program product comprising computer instructions, characterized in that, ​

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