CN117728884B - Method, device and storage medium for detecting voltage standing wave ratio of multi-system access platform - Google Patents
Method, device and storage medium for detecting voltage standing wave ratio of multi-system access platform Download PDFInfo
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Abstract
A voltage standing wave ratio detection method, device and storage medium for a multisystem access platform relate to the technical field of wireless communication. The method comprises the following steps: determining the frequency band signal and the environment parameter of each segmented area; determining forward power and reverse power of each segmented region according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented region according to the forward power and the reverse power; determining correction coefficients of the segmented areas according to the first voltage standing wave ratios of the segmented areas and the environmental parameters, and adjusting the first voltage standing wave ratios according to the correction coefficients to obtain second voltage standing wave ratios; and determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio. The voltage standing wave ratio detection accuracy of the multi-system access platform is improved.
Description
Technical Field
The application relates to the technical field of wireless communication, in particular to a method and a device for detecting voltage standing wave ratio of a multi-system access platform and a storage medium.
Background
With rapid development and wide application of wireless communication technology, measurement and analysis of Voltage Standing Wave Ratio (VSWR) is a key task for ensuring communication quality and system performance. VSWR is an important parameter for measuring the transmission efficiency of signals in wireless communication systems and reflects the reflection and loss of signals during transmission. Ideally, it is desirable that the value of VSWR is as low as possible, which means that the energy loss in the system is small and the transmission efficiency of the signal is high.
At present, the existing voltage standing wave ratio detection method of the multi-system access platform often obtains the total voltage standing wave ratio of the area to be detected, and analyzes the total voltage standing wave ratio. However, in practical application, because the areas where the systems are located are different, there is often a difference when the actual voltage standing wave ratio of different areas is accessed to the platform, so that the reflected detection result is inaccurate when the voltage standing wave ratio of the detection area is measured as a whole.
Disclosure of Invention
The application provides a method, a device and a storage medium for detecting voltage standing wave ratio of a multi-system access platform, which have the effect of improving the accuracy of detecting the voltage standing wave ratio of the multi-system access platform.
In a first aspect, the present application provides a method for detecting a voltage standing wave ratio of a multi-system access platform, including:
determining the frequency band signal and the environment parameter of each segmented area;
Determining forward power and reverse power of each segmented region according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented region according to the forward power and the reverse power;
determining correction coefficients of the segmented areas according to the first voltage standing wave ratios of the segmented areas and the environmental parameters, and adjusting the first voltage standing wave ratios according to the correction coefficients to obtain second voltage standing wave ratios;
And determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio.
By adopting the technical scheme, different segments of the target detection area are distinguished, the frequency band signals and the environment parameters of each area are obtained, and the data reflecting the electromagnetic environment characteristics of each area can be collected. Then, voltage standing wave ratio is calculated for each region, and the environmental parameters are utilized for correction, so that errors caused by differences of the regions can be eliminated. And finally, summarizing the corrected voltage standing wave ratio of each region to obtain the overall accurate voltage standing wave ratio of the whole target region. Compared with the traditional integral detection method, the scheme realizes the area-based refined detection, considers the environmental difference among all areas, and introduces correction coefficients for adjustment. The method can greatly improve the accuracy of the result, and has more remarkable effect particularly on detection scenes with complex environment or covering a plurality of systems. It can optimize the detection effect without adding detection equipment. The multisystem access detection platform can obtain the voltage standing wave ratio which more accurately reflects the actual conditions of all areas through the technical means of regional detection and environmental correction, thereby remarkably improving the accuracy of the voltage standing wave ratio result of the whole target detection area.
Optionally, if the landform type of the segmented area is an indoor venue type, acquiring a distribution position and a signal frequency of indoor communication equipment in the segmented area, taking the distribution position and the signal frequency of the indoor communication equipment as the environmental parameters, and determining the frequency band signal according to the distribution position and the signal frequency of the indoor communication equipment.
By adopting the technical scheme, the information such as the distribution coordinates and the signal frequency of the equipment is acquired aiming at the segmented area of the indoor venue type, and an indoor electromagnetic environment model is built. Under the guidance of the model, the influence frequency of the equipment signal can be avoided in a targeted manner, and the frequency band which is not interfered is selected for detection. Compared with the traditional indoor full-frequency band detection, the method for acquiring the equipment parameters and determining the frequency band signals can effectively eliminate the negative influence of the indoor complex environment on the detection. The method can collect clear and reliable frequency band signals under complex indoor conditions, thereby improving the accuracy of the subsequent voltage standing wave ratio detection.
Optionally, if the landform type of the segmented area is plain type, population density and building distribution density of the segmented area are obtained, the population density and the building distribution density are used as the environmental parameters, and the frequency band signal is determined according to the population density and the building part distribution density.
By adopting the technical scheme, the population density and the building distribution density of the plain area are obtained, and the environmental characteristics of the plain area can be reflected more accurately. Population density is directly related to the electromagnetic pollution level of an area, and building distribution density can also have an influence on signal propagation. The two parameters are determined as the environment parameters of the plain area, so that the parameter selection can be more suitable for the characteristics of the area. The frequency band signal is determined based on the environmental parameters, so that the propagation effect of the frequency band signal can be optimally adapted to the environmental conditions of the plain area. According to the scheme, the environment self-adaptation detection scheme for the plain area is realized, and the accuracy and the effect of electromagnetic environment detection of the plain area can be improved by matching the special parameters and signals of the area.
Optionally, if the landform type of the segmented area is a mountain land type, acquiring a height change value and a wind speed of the segmented area, taking the height change value and the wind speed as the environmental parameters, and determining the frequency band signal according to the height change value and the wind speed.
By adopting the technical scheme, the altitude change value and the wind speed parameter of the mountain region are obtained, so that the topography and the relief characteristics of the mountain region can be described more accurately. The change in altitude directly affects the signal propagation and the wind speed also causes signal attenuation. The two parameters are determined as the environmental parameters of the mountain area, so that the parameter selection can be more in accordance with the characteristics of the mountain area. By determining the frequency band signal according to the parameters, the signal propagation effect can be optimally adapted to the environmental conditions of mountain areas. According to the scheme, the environment self-adaptive detection scheme for the mountain area is realized, and the accuracy and the effect of electromagnetic environment detection of the mountain area can be improved by matching the special parameters and signals of the mountain area.
Optionally, determining a working frequency range according to the altitude change value and the wind speed; executing scanning operation in the working frequency range, and acquiring a feedback signal based on the scanning operation; and determining a target frequency point corresponding to the maximum signal strength according to the signal strength of each frequency point in the feedback signal, and taking the target frequency point as the frequency band signal.
By adopting the technical scheme, on the basis of determining the mountain area environment parameters, the optimal frequency band signal is further searched through scanning operation. And a reasonable working frequency range can be determined according to the height change value and the wind speed parameter, so that invalid searching is reduced, and the scanning efficiency is improved. And scanning in the frequency range, and determining a target frequency point with the optimal signal propagation effect according to the feedback signal strength of all frequency points as a frequency band signal of the mountain area. The mode of determining the frequency band signal based on the regional environment parameters through scanning realizes accurate optimization of the mountain region frequency band signal, and can greatly improve the accuracy of mountain region electromagnetic environment detection.
Optionally, calculating a reflection coefficient according to the forward power and the reverse power; and calculating the first voltage standing wave ratio according to the reflection coefficient.
By adopting the technical scheme, the reflection coefficient is calculated, so that the electromagnetic environment of the region can be estimated more accurately. The reflection coefficient represents the ratio relation of the reverse power and the forward power, and can judge the reflection and scattering conditions of the signal in the propagation process. And judging the electromagnetic pollution and accumulation degree of the area according to the value. The voltage standing-wave ratio is calculated on the basis, so that the result of the first voltage standing-wave ratio is more accurate and reliable. The first voltage standing wave ratio also eliminates errors in this respect because the reflection coefficient has taken account of environmental differences. By introducing the reflection coefficient, the scheme improves the accuracy of voltage standing wave ratio calculation and is a beneficial supplement for optimizing the detection effect.
Optionally, acquiring an environmental impact coefficient of each segmented region; determining each environmental correction value according to each environmental parameter and each environmental influence coefficient; determining each correction coefficient according to each environment correction value and each first voltage standing wave ratio; and calculating the product of each correction coefficient and each first voltage standing wave ratio to obtain each second voltage standing wave ratio.
By adopting the technical scheme, the concepts of the environmental influence coefficient and the environmental correction value are introduced, so that the influence of different environments on the detection result can be quantitatively evaluated, and the result correction can be performed in a targeted manner. The environmental influence coefficient reflects the influence of the parameter on the detection error; the environmental correction value may then be used to calculate a quantitative environmental error based on the actual parameter. The correction coefficient is determined on the basis, so that detection errors caused by environmental differences can be effectively eliminated. The second voltage standing wave ratio obtained after correction is more accurate and reliable. According to the scheme, quantitative environment correction of the voltage standing wave ratio result is realized, and the detection effect is effectively improved through setting of the environment evaluation index.
In a second aspect of the application, a voltage standing wave ratio detection system of a multi-system access platform is provided.
The parameter acquisition module is used for determining the frequency band signals and the environment parameters of each segmented area;
The frequency band signal processing module is used for determining forward power and reverse power of each segmented area according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented area according to the forward power and the reverse power;
The voltage standing wave ratio calculation module is used for determining correction coefficients of the segmented areas according to the first voltage standing wave ratio of the segmented areas and the environmental parameters, and adjusting the first voltage standing wave ratio according to the correction coefficients to obtain second voltage standing wave ratios;
the multi-system access platform voltage standing wave ratio detection module is used for determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio.
In a third aspect of the application, an electronic device is provided.
The system comprises a memory, a processor and a program stored in the memory and capable of running on the processor, wherein the program can realize a voltage standing wave ratio detection method of the multi-system access platform when loaded and executed by the processor.
In a fourth aspect of the application, a computer readable storage medium is provided.
A computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement a method for detecting voltage standing wave ratio of a multi-system access platform.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. according to the application, the frequency band signals and the environment parameters of each region are obtained by distinguishing different segments of the target detection region, so that the data reflecting the electromagnetic environment characteristics of each region can be collected. Then, voltage standing wave ratio is calculated for each region, and the environmental parameters are utilized for correction, so that errors caused by differences of the regions can be eliminated. And finally, summarizing the corrected voltage standing wave ratio of each region to obtain the overall accurate voltage standing wave ratio of the whole target region. Compared with the traditional integral detection method, the scheme realizes the area-based refined detection, considers the environmental difference among all areas, and introduces correction coefficients for adjustment. The method can greatly improve the accuracy of the result, and has more remarkable effect particularly on detection scenes with complex environment or covering a plurality of systems. It can optimize the detection effect without adding detection equipment. The multisystem access detection platform can obtain the voltage standing wave ratio which more accurately reflects the actual conditions of all areas through the technical means of regional detection and environmental correction, thereby remarkably improving the accuracy of the voltage standing wave ratio result of the whole target detection area.
2. The application can describe the topography and topography characteristics of the mountain region more accurately by obtaining the altitude change value and the wind speed parameter of the mountain region. The change in altitude directly affects the signal propagation and the wind speed also causes signal attenuation. The two parameters are determined as the environmental parameters of the mountain area, so that the parameter selection can be more in accordance with the characteristics of the mountain area. By determining the frequency band signal according to the parameters, the signal propagation effect can be optimally adapted to the environmental conditions of mountain areas. According to the scheme, the environment self-adaptive detection scheme for the mountain area is realized, and the accuracy and the effect of electromagnetic environment detection of the mountain area can be improved by matching the special parameters and signals of the mountain area.
3. According to the application, by introducing concepts of the environmental influence coefficient and the environmental correction value, the influence of different environments on the detection result can be quantitatively evaluated, and the result correction can be performed in a targeted manner. The environmental influence coefficient reflects the influence of the parameter on the detection error; the environmental correction value may then be used to calculate a quantitative environmental error based on the actual parameter. The correction coefficient is determined on the basis, so that detection errors caused by environmental differences can be effectively eliminated. The second voltage standing wave ratio obtained after correction is more accurate and reliable. According to the scheme, quantitative environment correction of the voltage standing wave ratio result is realized, and the detection effect is effectively improved through setting of the environment evaluation index.
Drawings
Fig. 1 is a schematic flow chart of a method for detecting voltage standing wave ratio of a multi-system access platform according to an embodiment of the present application;
Fig. 2 is a schematic structural diagram of a voltage standing wave ratio detection system of a multi-system access platform according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to the disclosure.
Reference numerals illustrate: 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order to facilitate understanding of the method and system provided by the embodiments of the present application, a description of the background of the embodiments of the present application is provided before the description of the embodiments of the present application.
At present, the existing voltage standing wave ratio detection method of the multi-system access platform often obtains the total voltage standing wave ratio of the area to be detected, and analyzes the total voltage standing wave ratio. However, in practical application, because the areas where the systems are located are different, there is often a difference when the actual voltage standing wave ratio of different areas is accessed to the platform, so that the reflected detection result is inaccurate when the voltage standing wave ratio of the detection area is measured as a whole.
The embodiment of the application discloses a voltage standing wave ratio detection method of a multi-system access platform, which combines frequency band signals and environmental parameters of each segmented area to detect the voltage standing wave ratio, and fits the voltage standing wave ratio of each segmented area to obtain the voltage standing wave ratio of a target detection area. The method is mainly used for solving the problem of inaccurate detection results when the voltage standing wave ratio of the detection area is measured integrally.
Those skilled in the art will appreciate that the problems associated with the prior art are solved by the present application, and a detailed description of a technical solution according to an embodiment of the present application is provided below, wherein the detailed description is given with reference to the accompanying drawings.
Referring to fig. 1, a method for detecting voltage standing wave ratio of a multi-system access platform includes steps S10 to S40, specifically including the following steps:
S10: and determining the frequency band signals and the environment parameters of each segmented area.
And a plurality of systems are arranged in different segmentation areas and are connected with the detection platform for frequency band signal access and transmission.
Specifically, the frequency band signals uploaded by the connected systems are obtained, and the frequency band signals comprise information such as working frequency, occupied bandwidth and the like used by the systems. And acquiring the environmental data uploaded by each system, wherein the environmental data comprises information such as landform types, building distribution, communication equipment distribution, population density and the like in the region. Different determination modes are selected according to the landform type of each segmented region. For example, if the landform type is an indoor venue, determining according to the position and frequency of the indoor communication device; if the model is plain, the model is determined according to population density and building distribution. And integrating the frequency band signals and the environment data of each system to determine the frequency band signals and the environment parameters of each segmented area. By adopting the method, the real, accurate and comprehensive frequency band signals and environment data of each segmented area can be collected, and the detection of the detection platform is not only relied on. The accuracy of the result can be greatly improved by combining the information provided by each system to carry out comprehensive determination.
On the basis of the above embodiment, the method further includes a process of matching the frequency band signal and the environmental parameter according to the landform type of the segmented region, and the specific steps include S11 to S16:
S11: if the landform type of the segmented area is the indoor venue type, the distribution position and the signal frequency of the indoor communication equipment of the segmented area are obtained, and the distribution position and the signal frequency of the indoor communication equipment are used as environmental parameters.
For example, in determining a frequency band signal and an environmental parameter for a segmented region of an indoor venue type, it is necessary to obtain a distribution position and a signal frequency of communication devices within the region. This is done because the indoor environment is complex, there are a large number of communication devices such as WiFi, bluetooth, etc., and the signals of these devices have interactions with the frequency band signals that actually need to be detected. The method comprises the steps that an indoor positioning system is particularly utilized to obtain the specific distribution coordinates of all communication equipment in an area; then detecting the working frequency, signal bandwidth and the like which are used by each communication device by using a frequency spectrum monitoring device; finally, the coordinate position and the frequency parameter of the communication equipment are summarized to be used as the environment parameter of the segmented area. By adopting the method to collect the distribution and frequency information of the indoor communication equipment, the interference of the signals on the target detection frequency band can be effectively eliminated. When the frequency band signals are determined later, the frequencies of the communication equipment can be avoided in a targeted manner, and the frequency bands which are not mutually influenced by the frequencies can be selected for analysis, so that the detection effect is improved. The obtained distribution coordinates of the communication equipment can also be used for establishing an indoor electromagnetic environment model, assisting in evaluating the influence of the indoor electromagnetic environment model on detection and providing a basis when calculating an environment correction coefficient. The method for acquiring the position and frequency information of the indoor communication equipment plays an important role in improving the accuracy of frequency band signal detection and voltage standing wave ratio calculation in an indoor environment. According to the method, the influence of the indoor complex environment on detection is fully considered, and the applicability of the technical scheme can be improved by acquiring the equipment parameters for targeted optimization.
S12: and determining the frequency band signal according to the distribution position of the indoor communication equipment and the signal frequency.
For example, after acquiring the distribution position of the indoor communication device and the signal frequency parameters, the actual frequency band signal needs to be determined according to the parameters. There are a large number of signals of communication equipment in the indoor environment, and these signals and the frequency band signal frequency that needs analysis of testing platform can cause overlapping to produce the interference to the testing result. And particularly, according to the known distribution positions of the indoor communication equipment, an indoor electromagnetic environment model is established, and the coordinates and the use frequency of each communication equipment are marked. A plurality of test samples are planned on the model so as to cover a main area of the segmented area. And on each sample point, the detection platform scans the full frequency band and collects spectrum data under each frequency. In the collected spectrum data, frequencies used by the communication equipment are identified, and corresponding weight coefficients are set on the frequencies for reducing the influence of the frequencies on the detection result. Then, a frequency point with a smaller weight coefficient is selected as a frequency band signal of the sample point.
S13: and if the landform type of the segmented area is plain type, obtaining population density and building distribution density of the segmented area, and taking the population density and the building distribution density as environmental parameters.
Illustratively, when determining a frequency band signal and an environmental parameter for a plain type segmented region, population density and building distribution density information of the region needs to be acquired as the environmental parameter. In plain areas, population and building distribution directly affects the electromagnetic environment complexity of the area. The more densely populated the building, the more frequent the living and commercial activities of the area, the more complex the electromagnetic radiation generated, which can affect the frequency band signal detection, the more densely populated the signal transmission is congested, resulting in poor signal quality. The satellite is used for detecting the image of the plain area, and the distribution density of the building in the area can be calculated by identifying the distribution range and the type of the building. Then, the detection platform collects and analyzes the signal coverage and user access condition of the mobile base station in the area, population flow distribution of different places in different time periods can be calculated through calculation, and finally population density of the area is determined. After two environment parameters, namely population density and building distribution density, are obtained, the detection platform can clearly know the electromagnetic environment complexity of the plain area. In the subsequent process of determining the frequency band signals, the detection platform can set sampling points with higher density aiming at areas with denser population and building distribution, and collect more environment data so as to improve the detection accuracy. The regional population distribution and the building distribution parameters are acquired by combining the satellite image and the mobile signal, the electromagnetic environment characteristics of the plain region can be reflected more accurately, the frequency band signal detection flow is optimized accordingly, and therefore the effect and the accuracy of final frequency band detection are improved.
S14: the frequency band signal is determined based on population density and building portion distribution density.
Illustratively, an electromagnetic environment model of this plains area is generated from population and building distribution densities. On the model, more sampling points are correspondingly arranged in densely populated and built areas. And collecting full-band spectrum data at each sampling point. The data obtained at each sampling point is analyzed to extract the frequency which can represent the electromagnetic environment characteristic of the area as a frequency band signal. In this way, a frequency band signal that fits the electromagnetic characteristics of a particular region can be obtained without being disturbed by the environment. Dense sampling can also obtain data that more fully and accurately reflects the electromagnetic characteristics of the target region. The frequency band signal determined in a targeted manner can improve the accuracy of the detection of the subsequent voltage standing wave ratio. The population and building distribution parameters are utilized to intelligently determine the frequency band signals, so that the detection effect on plain areas can be improved, and the voltage standing wave ratio result of the whole detection area is more accurate.
S15: if the landform type of the segmented area is the mountain land type, acquiring the altitude change value and the wind speed of the segmented area, and taking the altitude change value and the wind speed as environmental parameters.
Illustratively, the type of the topography of the segmented region is determined to belong to the mountain environment, and as in the foregoing embodiment, the mountain topography may be determined according to the topography height change and the gradient parameter. Because wireless signals in this mountain area are affected by terrain and wind, it is necessary to acquire information on these two features, including altitude change values: and collecting data of the terrain height change in the mountain area to obtain a height change parameter. Wind speed: and setting wind speed measuring equipment in the area, and acquiring real-time wind speed data. And taking the two parameters, namely the acquired altitude change value and the real-time wind speed, as the environmental parameter which can most represent the environmental characteristics of the mountain area. Therefore, the main environmental influence factors of wireless signal propagation in the mountain area can be accurately reflected by acquiring the altitude change and the wind speed of the mountain area as environmental parameters, and accurate and reliable environmental support is provided for subsequent frequency band signal matching and voltage standing wave ratio detection of the multi-system access platform so as to improve the detection effect.
S16: and determining the frequency band signal according to the altitude change value and the wind speed.
Illustratively, the effects of altitude changes and wind speed on the propagation of wireless signals, such as effects that may cause fading, interference, etc., are analyzed. And determining the optimal working frequency or frequency range according to the altitude change value and the parameter value of the wind speed and referring to the signal propagation model so as to weaken the environmental influence. And taking the determined optimal frequency or frequency range as a frequency range signal of the mountain area. According to the two main environmental parameters of the altitude change and the wind speed of the mountain area, the matched frequency band signals are selected, so that the environmental influence can be compensated to the greatest extent, the efficient and stable propagation of the signals is ensured, and high-quality frequency band signal support is provided for the subsequent voltage standing wave ratio detection of the multi-system access platform so as to improve the detection effect.
In an alternative embodiment of the present application, when the environment type is a mountain environment, the specific process of determining the frequency band signal includes: and acquiring a height change value and a wind speed parameter of the mountain region, wherein the height change value reflects the relief degree of the terrain, and the wind speed reflects the influence degree of the airflow on the signal. Setting a height change value and a parameter threshold value of wind speed, and when the height change exceeds a threshold value 1 and the wind speed exceeds a threshold value 2, indicating that the terrain of the area is complex and the wind power is large, and adjusting the frequency range is needed. A mathematical model of altitude change values and wind speed versus operating frequency range is fitted, for example, with altitude change and increasing wind speed, selecting a lower frequency range. And inputting an actual height change value and an air speed parameter of the area, and calculating a proper frequency band working range by using a model. Therefore, according to the actual height and wind speed parameters of the mountain area, a preliminary frequency band working range is determined, and a basis is provided for the subsequent selection of the optimal frequency band signal so as to improve the pertinence and the accuracy of the selected frequency band signal.
A wide operating frequency range, for example, a range within 100MHz of a 1GHz error, is initially determined based on the topography type and related environmental parameters. Within this frequency band range, the transmitting device is configured to scan the frequency band range at a certain frequency interval, for example, 10MHz, and transmit a scan signal. And configuring monitoring equipment to monitor the propagation performance of the scanning signal in the mountain area in real time and recording signal index data. And selecting a frequency point or a small range frequency band with the best propagation performance as a final frequency band signal according to the scanning signal propagation index data such as the signal intensity attenuation degree of the monitoring feedback. Therefore, through scanning analysis of the primary frequency band, actual signal propagation effect data of different frequency points in the area can be obtained, an optimal frequency band signal is determined, and the accuracy and reliability of frequency band signal selection are improved.
The range of the working frequency band is scanned, and signals of different frequency points are sequentially sent, for example, the interval is 10MHz. Feedback data of the scanning signal is received and analyzed, e.g. signal strength values at every 10MHz are recorded. And traversing the signal intensity values of all frequency points in the feedback signal, and comparing and determining the maximum value. And determining a frequency point corresponding to the maximum signal strength as an optimal target frequency point to be used as a frequency band signal of the mountain area. Therefore, through analysis processing of the intensity value of the scanning signal, the frequency point corresponding to the intensity peak value is selected as the frequency band signal, verification data obtained by scanning can be effectively utilized, and the optimal frequency band signal is selected, so that the effect and the accuracy of voltage standing wave ratio detection of a subsequent multi-system access platform are improved.
S20: and determining the forward power and the reverse power of each segmented region according to the signals of each frequency band, and calculating the first voltage standing wave ratio of each segmented region according to the forward power and the reverse power.
Specifically, transmitting and receiving equipment is configured in each segmented area, and frequency band signals corresponding to the segmented areas are transmitted. And measuring and recording forward power and reverse power parameter data when the frequency band signal propagates. The forward power reflects the intensity of the signal in the main propagation direction and the reverse power reflects the intensity of the signal back-reflected portion. And according to the forward power and reverse power data obtained by the signal propagation of the frequency band of each region, calculating a first voltage standing wave ratio of each segmented region by using a voltage standing wave ratio formula. According to the result of the first voltage standing wave ratio of each area, the electromagnetic environment quality in the area, such as the accumulation degree, whether a stray source exists or not, can be judged. Therefore, the actual electromagnetic environment condition of each segmented region can be effectively evaluated by calculating the voltage standing wave ratio according to the frequency band signals, a basis is provided for subsequent optimization, and the detection effect is improved.
On the basis of the above embodiment, the specific step of calculating the first voltage standing wave ratio further includes S21 to S22:
S21: the reflection coefficient is calculated from the forward power and the reverse power.
Illustratively, after the forward power and the reverse power of the signal propagation of each segment area frequency band are obtained, the forward power and the reverse power are carried into a reflection coefficient formula to calculate, wherein the formula expresses the relation between the ratio of the reverse power and the forward power, specifically the square root of the ratio of the reverse power and the forward power. According to the calculation result, if the reflection coefficient is greater than 1, it is indicated that the reverse power is greater than the forward power, and there is a serious pile-up. If the reflection coefficient is close to 0, the propagation environment is ideal. The electromagnetic environment quality of each region is determined based on the reflection coefficient, for example, to distinguish between lightly and heavily piled-up regions. Therefore, the electromagnetic environment states of the segmented areas can be judged more accurately through calculating the reflection coefficient, the problem areas are identified, a basis is provided for subsequent detection optimization, and the detection effect is improved.
S22: and calculating the first voltage standing wave ratio according to the reflection coefficient.
Illustratively, after the reflection coefficient of each segment area is calculated, the reflection coefficient value is brought into a first voltage standing wave ratio calculation formula, where the first voltage standing wave ratio calculation formula is: the sum of the constant 1 and the reflection coefficient is compared with the difference between the constant 1 and the reflection coefficient. According to the formula, the first voltage standing wave ratio is recalculated by the reflection coefficient of each area. According to the corrected first voltage standing wave ratio result, the electromagnetic environment state of each region can be judged more accurately, and compared with a preset threshold value, the segmented regions with serious problems are screened out. Therefore, the accuracy and the reliability of the result can be improved by correcting the calculation mode of the voltage standing wave ratio through the reflection coefficient, the electromagnetic environment of each segmented area can be better estimated, and the further optimization of the detection effect is realized.
S30: according to the first voltage standing wave ratio and the environmental parameters of each segmented region, determining the correction coefficient of each segmented region, and according to each correction coefficient, adjusting each first voltage standing wave ratio to obtain each second voltage standing wave ratio.
Specifically, a first voltage standing wave ratio calculation result of each segmented region and environmental parameter data of the corresponding region are obtained. And establishing an error corresponding relation model of the voltage standing wave ratio and each environmental parameter, wherein the larger the population density is, the larger the error is. And (3) according to the environmental parameter input model of each region, calculating a corresponding correction coefficient, wherein the correction coefficient reflects the error caused by the environmental parameter. And respectively adjusting the first voltage standing wave ratio by using the correction coefficients of the areas, and performing environmental error compensation to obtain a second voltage standing wave ratio. Therefore, the correction coefficient is determined through the environment parameters, the calculation result of the voltage standing wave ratio of each area is corrected in a targeted manner, the errors of different environments on detection can be eliminated, and the accuracy of electromagnetic environment detection is improved.
On the basis of the above embodiment, the specific step of calculating the second voltage standing wave ratio further includes S31 to S33:
s31: acquiring environmental influence coefficients of each segmented region; and determining each environment correction value according to each environment parameter and each environment influence coefficient.
Illustratively, various environmental parameters, such as population density, building density, etc., that affect multi-system access platform voltage standing wave ratio detection are determined. And determining the influence degree of each environmental parameter on the detection result through indoor simulation experiments and field verification, and obtaining an environmental influence coefficient, for example, the influence coefficient of population density is 0.8. Environmental parameter monitoring data for each segmented region is retrieved, such as obtaining population density data in real-time. And multiplying the environmental parameter values of the areas with corresponding environmental influence coefficients, and calculating an environmental correction value for subsequent correction of the first voltage standing wave ratio. Therefore, the influence degree coefficient of the environment parameters is determined, and the environment correction value is calculated, so that the influence of different environments on the detection result can be quantitatively evaluated, and the electromagnetic environment detection error can be accurately and effectively corrected.
S32: and determining each correction coefficient according to each environment correction value and each first voltage standing wave ratio.
The environmental correction values for the respective segment areas are calculated, for example, to represent the magnitudes of detection errors due to different environmental factors. Setting a corresponding relation model between the voltage standing wave ratio and the environment correction value, and determining a correction coefficient of the voltage standing wave ratio according to the environment correction value by the model. For example, every 0.1 increase in the environmental correction value, the correction factor increases by 0.05. And inputting the environmental correction value of each region into a corresponding relation model, and calculating the respective voltage standing wave ratio correction coefficient. Recording the voltage standing wave ratio correction coefficient of each region, and preparing for correcting the first voltage standing wave ratio. Therefore, the correction coefficient is determined through the environment correction value, so that the detection error of the environment on the voltage standing wave ratio can be quantitatively estimated, and the accurate correction and calibration of the result are realized.
S33: and calculating the product of each correction coefficient and each first voltage standing wave ratio to obtain each second voltage standing wave ratio.
The method includes the steps of obtaining a first voltage standing wave ratio calculation result of each segmented area and a corresponding correction coefficient, setting a voltage standing wave ratio correction calculation formula, wherein the voltage standing wave ratio correction calculation formula is the product of the first voltage standing wave ratio and the correction coefficient, substituting the first voltage standing wave ratio of each area and the corresponding correction coefficient into the voltage standing wave ratio correction calculation formula, and performing correction calculation to obtain a second voltage standing wave ratio. The new second voltage standing wave ratio eliminates detection errors caused by environmental differences of all areas, and more accurately reflects the actual conditions of electromagnetic environments. Therefore, environmental errors are eliminated through the correction coefficient, the corrected second voltage standing wave ratio is calculated, the accuracy of the detection result is greatly improved, and accurate assessment of the electromagnetic environment is realized.
S40: and determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio.
Specifically, after the second voltage standing wave ratio result of each segmented area after the environmental correction is obtained, the second voltage standing wave ratio of each area is weighted and averaged, and the average voltage standing wave ratio of the target area is calculated. The weighting coefficients may be determined based on region size, importance. Setting a voltage standing wave ratio threshold value, and confirming the electromagnetic environment condition of the target area according to the comparison result of the average voltage standing wave ratio and the threshold value. If the average voltage standing wave ratio exceeds the threshold value, determining that the electromagnetic pollution problem exists in the target area, and determining the average value as the target voltage standing wave ratio to be treated; if the threshold is not exceeded, the environmental condition is good. Thus, the electromagnetic environment indexes of the target area are synthesized by the voltage standing wave ratio results of the segmented areas, and the accurate detection and judgment of the electromagnetic pollution condition of the target area are realized.
Referring to fig. 2, a voltage standing wave ratio detection system of a multi-system access platform according to an embodiment of the present application includes: the system comprises a parameter acquisition module, a frequency band signal processing module, a voltage standing wave ratio calculation module and a multi-system access platform voltage standing wave ratio detection module, wherein:
the parameter acquisition module is used for determining the frequency band signals and the environment parameters of each segmented area;
The frequency band signal processing module is used for determining forward power and reverse power of each segmented area according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented area according to the forward power and the reverse power;
The voltage standing wave ratio calculation module is used for determining correction coefficients of each segmented area according to the first voltage standing wave ratio and the environmental parameter of each segmented area, and adjusting each first voltage standing wave ratio according to each correction coefficient to obtain each second voltage standing wave ratio;
the multi-system access platform voltage standing wave ratio detection module is used for determining a target voltage standing wave ratio of a target detection area according to each second voltage standing wave ratio.
On the basis of the above embodiment, the parameter obtaining module is further configured to obtain a distribution position and a signal frequency of the indoor communication device in the segmented area if the landform type of the segmented area is an indoor venue type, and determine the frequency band signal according to the distribution position and the signal frequency of the indoor communication device by using the distribution position and the signal frequency of the indoor communication device as environmental parameters.
On the basis of the embodiment, the parameter obtaining module further comprises obtaining population density and building distribution density of the segmented area if the landform type of the segmented area is plain environment, and taking the population density and the building distribution density as environmental parameters; the frequency band signal is determined based on population density and building portion distribution density.
On the basis of the embodiment, the parameter obtaining module further comprises obtaining a height change value and a wind speed of the segmented area if the landform type of the segmented area is a mountain environment, and taking the height change value and the wind speed as environmental parameters; and determining the frequency band signal according to the altitude change value and the wind speed.
On the basis of the embodiment, the parameter obtaining module further comprises determining the working frequency range according to the altitude change value and the wind speed; executing scanning operation in the range of the working frequency band, and acquiring a feedback signal based on the scanning operation; and determining a target frequency point corresponding to the maximum signal strength according to the signal strength of each frequency point in the feedback signal, and taking the target frequency point as a frequency band signal.
On the basis of the embodiment, the voltage standing wave ratio calculation module is further used for calculating a reflection coefficient according to the forward power and the reverse power; and calculating the first voltage standing wave ratio according to the reflection coefficient.
On the basis of the embodiment, the voltage standing wave ratio calculation module further comprises obtaining environment influence coefficients of the segmented areas; determining each environment correction value according to each environment parameter and each environment influence coefficient; determining each correction coefficient according to each environment correction value and each first voltage standing wave ratio; and calculating the product of each correction coefficient and each first voltage standing wave ratio to obtain each second voltage standing wave ratio.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses electronic equipment. Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display) interface and a Camera (Camera) interface, and the optional user interface 303 may further include a standard wired interface and a standard wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface diagram, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.
The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage device located remotely from the aforementioned processor 301. Referring to fig. 3, an operating system, a network communication module, a user interface module, and an application program of a multi-system access platform voltage standing wave ratio detection method may be included in the memory 305 as a computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 301 may be configured to invoke application programs in memory 305 storing a multi-system access platform voltage standing wave ratio detection method that, when executed by one or more processors 301, cause electronic device 300 to perform the method as in one or more of the embodiments described above. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. The method is characterized by being applied to a detection platform, wherein the detection platform is connected with a plurality of systems, each system is positioned in different segmentation areas of a target detection area, and the method for detecting the voltage standing wave ratio of the multi-system access platform comprises the following steps:
determining the frequency band signal and the environment parameter of each segmented area;
Determining forward power and reverse power of each segmented region according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented region according to the forward power and the reverse power;
determining correction coefficients of the segmented areas according to the first voltage standing wave ratios of the segmented areas and the environmental parameters, and adjusting the first voltage standing wave ratios according to the correction coefficients to obtain second voltage standing wave ratios;
And determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio.
2. The method for detecting a voltage standing wave ratio of a multi-system access platform according to claim 1, wherein the determining the frequency band signal and the environmental parameter of each segmented region includes:
if the landform type of the segmented area is an indoor venue type, acquiring the distribution position and the signal frequency of the indoor communication equipment of the segmented area, taking the distribution position and the signal frequency of the indoor communication equipment as the environment parameters, and determining the frequency band signal according to the distribution position and the signal frequency of the indoor communication equipment.
3. The method for detecting a voltage standing wave ratio of a multi-system access platform according to claim 1, wherein the determining the frequency band signal and the environmental parameter of each segmented region includes:
And if the landform type of the segmented area is plain type, acquiring population density and building distribution density of the segmented area, taking the population density and the building distribution density as the environment parameters, and determining the frequency band signal according to the population density and the building distribution density.
4. The method for detecting a voltage standing wave ratio of a multi-system access platform according to claim 1, wherein the determining the frequency band signal and the environmental parameter of each segmented region includes:
If the landform type of the segmented area is a mountain type, acquiring a height change value and a wind speed of the segmented area, taking the height change value and the wind speed as the environment parameters, and determining the frequency band signal according to the height change value and the wind speed.
5. The method for detecting a voltage standing wave ratio of a multi-system access platform according to claim 4, wherein the determining the frequency band signal according to the altitude variation value and the wind speed comprises:
Determining a working frequency range according to the height variation value and the wind speed;
executing scanning operation in the working frequency range, and acquiring a feedback signal based on the scanning operation;
And determining a target frequency point corresponding to the maximum signal strength according to the signal strength of each frequency point in the feedback signal, and taking the target frequency point as the frequency band signal.
6. The method for detecting a voltage standing wave ratio of a multi-system access platform according to claim 1, wherein the calculating a first voltage standing wave ratio of each segment area according to the forward power and the reverse power comprises:
Calculating a reflection coefficient according to the forward power and the reverse power;
And calculating the first voltage standing wave ratio according to the reflection coefficient.
7. The method for detecting voltage standing wave ratio of multiple system access platforms according to claim 1, wherein determining correction coefficients of each of the segmented areas according to the first voltage standing wave ratio of each of the segmented areas and the environmental parameter, and adjusting each of the first voltage standing wave ratios according to each of the correction coefficients to obtain each of the second voltage standing wave ratios, comprises:
acquiring the environmental influence coefficient of each segmented region;
determining each environmental correction value according to each environmental parameter and each environmental influence coefficient;
determining each correction coefficient according to each environment correction value and each first voltage standing wave ratio;
And calculating the product of each correction coefficient and each first voltage standing wave ratio to obtain each second voltage standing wave ratio.
8. A multi-system access platform voltage standing wave ratio detection device, characterized by being applied to a detection platform, wherein the detection platform is connected with a plurality of systems, and each system is located in a different segmented area of a target detection area, the device comprising:
the parameter acquisition module is used for determining the frequency band signals and the environment parameters of each segmented area;
The frequency band signal processing module is used for determining forward power and reverse power of each segmented area according to each frequency band signal, and calculating a first voltage standing wave ratio of each segmented area according to the forward power and the reverse power;
The voltage standing wave ratio calculation module is used for determining correction coefficients of the segmented areas according to the first voltage standing wave ratio of the segmented areas and the environmental parameters, and adjusting the first voltage standing wave ratio according to the correction coefficients to obtain second voltage standing wave ratios;
the multi-system access platform voltage standing wave ratio detection module is used for determining the target voltage standing wave ratio of the target detection area according to each second voltage standing wave ratio.
9. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory configured to store instructions, the user interface and the network interface configured to communicate with other devices, the processor configured to execute the instructions stored in the memory, to cause the electronic device to perform the multisystem access platform voltage standing wave ratio detection method of any of claims 1-7.
10. A computer readable storage medium storing instructions which, when executed, perform the multisystem access platform voltage standing wave ratio detection method steps of any of claims 1-7.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20040085711A (en) * | 2003-04-01 | 2004-10-08 | 주식회사 케이티프리텔 | Apparatus for measuring transmission VSWR amending call state of base station and method thereof |
| CN102223189A (en) * | 2011-03-14 | 2011-10-19 | 京信通信系统（广州）有限公司 | Detection control method for multiband DPD (Digital Pre-Distortion), grain and standing wave |
| CN102938904A (en) * | 2011-08-15 | 2013-02-20 | 中兴通讯股份有限公司 | Standing-wave ratio detecting method, device and base station |
| CN104270209A (en) * | 2014-10-14 | 2015-01-07 | 大唐移动通信设备有限公司 | Detection method and device of standing-wave ratio of remote radio unit (RRU) based on different calibration planes |
| CN104579516A (en) * | 2014-12-04 | 2015-04-29 | 大唐移动通信设备有限公司 | Standing-wave ratio detecting method and equipment |
| CN105388367A (en) * | 2015-10-16 | 2016-03-09 | 北京宇航系统工程研究所 | Method for characterizing and acquiring electromagnetic environment in narrow and small bay section |
| CN106877886A (en) * | 2017-01-19 | 2017-06-20 | 深圳国人通信股份有限公司 | multi-system access platform voltage standing wave ratio detection method and device |
| CN115051763A (en) * | 2022-06-16 | 2022-09-13 | 维沃移动通信有限公司 | Method and device for measuring voltage standing wave ratio and electronic equipment |
-
2023
- 2023-12-28 CN CN202311838854.2A patent/CN117728884B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20040085711A (en) * | 2003-04-01 | 2004-10-08 | 주식회사 케이티프리텔 | Apparatus for measuring transmission VSWR amending call state of base station and method thereof |
| CN102223189A (en) * | 2011-03-14 | 2011-10-19 | 京信通信系统（广州）有限公司 | Detection control method for multiband DPD (Digital Pre-Distortion), grain and standing wave |
| CN102938904A (en) * | 2011-08-15 | 2013-02-20 | 中兴通讯股份有限公司 | Standing-wave ratio detecting method, device and base station |
| CN104270209A (en) * | 2014-10-14 | 2015-01-07 | 大唐移动通信设备有限公司 | Detection method and device of standing-wave ratio of remote radio unit (RRU) based on different calibration planes |
| CN104579516A (en) * | 2014-12-04 | 2015-04-29 | 大唐移动通信设备有限公司 | Standing-wave ratio detecting method and equipment |
| CN105388367A (en) * | 2015-10-16 | 2016-03-09 | 北京宇航系统工程研究所 | Method for characterizing and acquiring electromagnetic environment in narrow and small bay section |
| CN106877886A (en) * | 2017-01-19 | 2017-06-20 | 深圳国人通信股份有限公司 | multi-system access platform voltage standing wave ratio detection method and device |
| CN115051763A (en) * | 2022-06-16 | 2022-09-13 | 维沃移动通信有限公司 | Method and device for measuring voltage standing wave ratio and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 驻波对移动网覆盖和容量的影响分析;梁松柏;魏宁;任阔;;邮电设计技术;20160620(06);全文 * |
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