EVM detection method, transmitter, and computer-readable storage medium

Abstract

An EVM detection method, a transmitter, and a computer-readable storage medium are provided, which include the steps of: obtaining cell configuration parameters from a control terminal (S100), generating a test data source based on the cell configuration parameters (S200), obtaining a measurement signal based on the test data source (S300), determining an error vector amplitude from the measurement signal and a preset reference signal (S400), and sending the error vector amplitude to a control terminal (S500), so that the control terminal identifies a problem in the transmitter based on the error vector amplitude.

Description

[Technical field]

[0001] This application is filed based on a Chinese patent application bearing application number 202110687579.3 and filing date June 21, 2021, and claims priority to the Chinese patent application, the entire contents of which are hereby incorporated by reference into this application.

[0002] The present application relates to the field of mobile communications, and in particular to an EVM detection method, a transmitter, and a computer-readable storage medium. [Background technology]

[0003] When testing the RF indicators of an Active Antenna Unit (AAU) or Remote Radio Unit (RRU) transmitter, Error Vector Magnitude (EVM) is usually taken as the standard to evaluate the signal amplitude error and phase error. To test the RF indicators of an AAU / RRU transmitter, multiple interconnected modules such as Base Band Unit (BBU), AAU / RRU, attenuator, and spectrum analyzer may be used. In such tests, the environment is complex, and when a problem occurs in the test, it is difficult to identify the problem due to too many modules, so the equipment needs to be removed and sent to a rework center or laboratory to be re-measured to identify the problem, which is very time-consuming. Summary of the Invention [Problem to be solved by the invention]

[0004] The following is a summary of the subject matter described in detail in the present specification. This summary is not intended to limit the scope of protection of the claims.

[0005] The embodiments of the present application propose an EVM detection method, a transmitter, and a computer-readable storage medium. [Means for solving the problem]

[0006] In a first aspect, an embodiment of the present application provides an EVM detection method applied to a transmitter, the EVM detection method comprising: obtaining cell configuration parameters from a control terminal; generating a test data source based on the cell configuration parameters; obtaining a measurement signal based on the test data source; determining an error vector magnitude from the measurement signal and a preset reference signal; transmitting the error vector magnitude to the control terminal so that the control terminal identifies a problem with the transmitter based on the error vector magnitude. fruit, The transmitter is provided with a plurality of channels for transmitting data; The step of obtaining a measurement signal based on the test data source comprises: transmitting said test data source over a plurality of said channels to obtain a multi-channel signal; digital-to-analog converting the multi-channel signal to obtain a multi-channel analog signal; power amplifying the multi-channel analog signal to obtain a multi-channel analog amplified signal; sampling the multi-channel analog amplified signal to obtain a multi-channel sampled signal, the multi-channel sampled signal being a collection of sampled signals for each of the channels; selecting one signal from the multi-channel sampled signals as a specific channel signal; obtaining a measurement signal based on the particular channel signal; Includes.

[0007] In a second aspect, embodiments of the present application provide an EVM detection apparatus, comprising: an information acquisition module configured to acquire cell configuration parameters from a control terminal; a generation module configured to generate a test data source based on the cell configuration parameters; a processing module configured to derive a measurement signal based on the test data source; a test module configured to determine an error vector magnitude from the measurement signal and a preset reference signal; a transmission module configured to transmit the error vector magnitude to the control terminal such that the control terminal identifies a transmitter problem based on the error vector magnitude.

[0008] In a third aspect, embodiments of the present application provide a transmitter, comprising: A memory, a processor, a program stored in the memory and executable by the processor, and a data bus enabling communication between the processor and the memory; When the program is executed by the processor, the EVM detection method described in the first aspect above is realized.

[0009] In a fourth aspect, an embodiment of the present application provides a base station, comprising: The apparatus includes a memory, a processor, and a computer program stored in the memory and executable by the processor, and when the processor executes the computer program, the EVM detection method described in the first aspect above is realized.

[0010] In a fifth aspect, the present application provides a computer readable storage medium, comprising: One or more programs are stored which, when executed by one or more processors, implement the EVM detection method according to the first aspect above.

[0011] Other features and advantages of the present application will be set forth in the following specification, and in part will be obvious from the specification, or may be learned by the practice of the present application. The objectives and other advantages of the present application may be achieved and obtained by the structure particularly pointed out in the written description, claims and drawings. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a block diagram of a module for EVM detection in some cases. [Diagram 2]1 is a block diagram of another module for EVM detection in some cases. [Diagram 3] FIG. 1 is a block diagram of a test environment according to one embodiment of the present application. [Figure 4] 1 is a flowchart of an EVM detection method according to an embodiment of the present application. [Diagram 5] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 6] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 7] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 8] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 9] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 10] 4 is another flowchart of an EVM detection method according to an embodiment of the present application. [Figure 11] FIG. 2 is a block diagram of hardware according to one embodiment of the present application. [Figure 12] FIG. 2 is a block diagram of a module of an EVM detection device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] In order to more clearly understand the objectives, technical solutions and advantages of the present application, the present application will be described in more detail below with reference to the drawings and examples. The specific examples described in this specification are only used to explain the present application and are not used to limit the present application.

[0014] In addition, although the schematic diagram of the system architecture is divided into functional modules and the flowchart shows a logical order, in some cases, the division into modules in the device may be different, or the steps shown or described may be performed in a different order from that in the flowchart. The terms "first", "second", etc. in the specification and claims and the above drawings are not used to describe a particular order or priority, but are used to distinguish between similar objects.

[0015] The present application provides an EVM detection method, an apparatus, a transmitter, a base station, and a computer-readable storage medium. First, a cell configuration parameter is obtained from a control terminal. Next, a test data source is generated based on the cell configuration parameter. Then, a measurement signal is obtained based on the test data source. Finally, an error vector amplitude is determined from the measurement signal and a preset reference signal, and the error vector amplitude is transmitted to a control terminal so that the control terminal can determine whether the transmitter is abnormal based on the error vector amplitude. In this way, when it is necessary to detect the RF indicator of the transmitter, the presence or absence of an abnormality in the RF indicator of the transmitter can be detected by the control terminal itself without removing the transmitter and returning it to the factory, which can significantly reduce costs.

[0016] Hereinafter, the embodiments of the present application will be further described with reference to the drawings.

[0017] As shown in FIG. 1 and FIG. 2, FIG. 1 is a block diagram of a module of EVM detection in some cases, and FIG. 2 is a block diagram of another module of EVM detection in some cases. When testing the RF indicator of an AAU or RRU transmitter, EVM is usually used as an important parameter to comprehensively evaluate signal amplitude error and phase error. In some cases, there is a test device including a terminal 110, a baseband unit 120, a remote radio unit 130, an attenuator 140, and a spectrum analyzer 150 (or a test equipment 160). The terminal 110 controls the baseband unit 120 to send test data. The baseband unit 120 transmits the test data to the remote radio unit 130 through an optical fiber. The processed test data cannot be directly supplied to the spectrum analyzer due to excessive power, and is attenuated by the attenuator 140 before being supplied to the spectrum analyzer 150. The baseband unit 120 also needs to send a trigger signal and a reference signal to the spectrum analyzer 150. The spectrum analyzer 150 finally calculates the EVM based on the trigger signal, the reference signal, and the attenuated measurement signal. When using a test equipment 160 that cannot directly display the results as shown in FIG. 2, after the test equipment 160 measures the EVM, it also needs to transmit the measurement result to the terminal 110 to display the calculation result. Because the test environment is complicated and there are many modules, if an abnormality occurs in the calculated EVM, there is no way to determine which module has the problem in a short time. Therefore, it is necessary to remove the equipment from the station, send it to a rework center or a laboratory, connect it to the spectrum analyzer 150, and re-measure it to determine which module has the abnormality. Such a test method has low efficiency in identifying the problem and high cost.

[0018] Considering this, the present application proposes a test environment as shown in FIG. 3. FIG. 3 is a block diagram of a test environment according to an embodiment of the present application. In this embodiment, it is not necessary to build a complex test environment, and the EVM detection task of the RF channel of the transmitter 220 can be performed by simply connecting the transmitter 220 to the control terminal 210. The transmitter 220 can generate and transmit a test data source by itself, and there is no need to control the baseband unit to generate a data source and transmit it through an optical fiber for detection. The transmitter 220 of this embodiment can loop back and collect the test data source through the combined channel, perform demodulation processing, and finally obtain the error vector magnitude of the channel. It is no longer necessary to attenuate the data by connecting a spectrum analyzer to perform detection. The test environment of this embodiment is simpler than that of some cases, reducing the test cost and complexity. In addition, since the transmitter 220 can transmit a test data source by itself and loop back and demodulate it, the test efficiency is also greatly improved. In addition, when faced with a situation such as a traffic test or a field test, if a situation where a channel abnormality of the transmitter 220 is suspected is encountered, it is only necessary to determine whether or not there is an abnormality in the RF indicator of the transmitter 220 through the test environment in this embodiment, and there is no need to remove the transmitter 220 and return to the factory for detection, thereby improving the efficiency of identifying the problem.

[0019] As shown in Fig. 4, in one embodiment of the present application, an EVM detection method is proposed, which is applied to a transmitter, and which includes but is not limited to steps S100, S200, S300, S400, and S500.

[0020] Step S100: Obtain cell configuration parameters from a control terminal.

[0021] In this embodiment, the control terminal has cell configuration parameters preset, and the transmitter receives the cell configuration parameters from the control terminal when EVM detection is required. The cell configuration parameters include information such as signaling method and bandwidth. The transmitter can generate a test data source by itself based on the cell configuration parameters.

[0022] Step S200: Generate a test data source based on the cell configuration parameters.

[0023] In the signaling method in the cell configuration parameters, it is specifically mentioned whether the cell belongs to a 4G network or a 5G network. In 3GPP (registered trademark) TS38.141 protocol 4.9.2, the 5G NR (5G New Radio) test model required for the RF indicator test of the AAU / RRU is specified. In 3GPP TS36.141 protocol 6.1.1, the Long Term Evolution (LTE) test model required for the RF indicator test is specified. As shown in Tables 1 and 2 below, the number of resource blocks (RBs) and modulation methods corresponding to different test models are different, and different test models correspond to different test data sources. In this embodiment, the transmitter can generate the corresponding test data source by itself according to each test model defined in the TS38.141 protocol and the TS36.141 protocol, and transmit it for detection.

[0024] [Table 1]

[0025] [Table 2]

[0026] In addition, when the signaling method in the cell configuration parameters is 5G NR and the test model is specified as TM2, the transmitter obtains the cell configuration parameters, and then determines that the test model is TM2, the corresponding RB number is 1RB, and the modulation method is 64QAM, and also determines information such as the bandwidth corresponding to the test model. The transmitter generates a test data source by itself based on this information and transmits it for detection. Compared with the method in which the terminal controls the baseband unit to generate the test data source in some cases, the transmitter of this embodiment can generate a test data source by itself after obtaining the cell configuration parameters, and transmit it for detection, thereby achieving significant cost reduction.

[0027] Step S300: Obtain a measurement signal based on a test data source.

[0028] After the transmitter generates and transmits the test data source by itself, the test data source is processed inside the transmitter, including but not limited to processing means such as power amplification, combining, and screening. The processing of the test data source results in a measurement signal that meets the requirements of the test model, and the measurement signal is used as the basis parameter for calculating the EVM.

[0029] Step S400: Determine an error vector magnitude from a measurement signal and a preset reference signal.

[0030] A plurality of reference signals corresponding to the test models in the cell configuration parameters are preset in the transmitter. In the 3GPP protocol, specific reference signals are respectively set for different test models, that is, each test model has a corresponding reference signal. The reference signal is a signal obtained by processing the test data source by the above processing means in an ideal state. Compared with the measurement signal obtained by processing the test data source in an actual situation, the reference signal is a signal obtained by distortion-free transmission, that is, only the magnitude of the signal amplitude and the time of appearance are different, and there is no change in the waveform. At this time, the error vector magnitude EVM is calculated from the reference signal in the ideal state and the measurement signal actually obtained, and the error between the measurement signal and the reference signal is obtained, so that it can be judged whether there is an abnormality in the RF indicator of the transmitter.

[0031] Step S500: Send the error vector magnitude to the control terminal.

[0032] Since the process of calculating EVM is done inside the transmitter, after the calculation is completed, the error vector magnitude needs to be sent to the control terminal, so that the control terminal can identify the problem based on the error vector magnitude and judge whether the RF indicators of the transmitter are normal or not.

[0033] The control terminal proposed in this embodiment includes, but is not limited to, a personal computer (PC). The PC and the transmitter are connected, and when it is necessary to detect the RF channel index of the transmitter, the cell configuration parameters are sent to the transmitter through the PC. Then, the transmitter generates and processes a data source according to the cell configuration parameters, and finally, after demodulating and calculating the error vector amplitude, the result is sent to the PC for display, so that the detection result in the PC determines whether the RF index of the transmitter is normal or not. There is no need to remove the transmitter and return to the factory for detection, thereby improving the efficiency of identifying the problem.

[0034] It should be noted that the EVM detection method proposed in this embodiment can perform the test work of the error vector magnitude in the RF channel of the transmitter by simply connecting the transmitter to the control terminal, without constructing a complex test environment. Meanwhile, in some cases, the test data source is generated by the baseband unit, and then the remote radio unit outputs a signal, which has a large output power and needs to be attenuated by an attenuator to convert it into a signal power size suitable for the spectrum analyzer. In this embodiment, the transmitter can loop back and collect the test data source through the coupling channel, and perform demodulation processing to calculate the error vector magnitude of the channel, which eliminates the need to attenuate the signal by connecting a spectrum analyzer to perform EVM detection. When the traffic cannot reach the peak traffic, the EVM detection method of this embodiment can be used to decouple and identify the measurement signal, and determine whether the downstream RF indicator of the transmitter is normal, and there is no need to remove the transmitter and send it to a rework center or laboratory for re-measurement to identify the problem, which can save the cost of testing.

[0035] In addition, the transmitter can generate its own test data source, and loop back to demodulate and detect it, so the efficiency is greatly improved. When faced with a traffic test or field test, if a problem is suspected in the transmitter, there is no need to remove the transmitter from the station and measure again. By using the EVM detection method of this embodiment, it can be determined whether the error vector magnitude is normal, and further whether there is an abnormality in the RF channel of the transmitter, improving the efficiency of identifying the problem.

[0036] 5, which is another flowchart of an EVM detection method according to an embodiment of the present application. Step S300 in the embodiment shown in FIG. 1 includes, but is not limited to, steps S310, S320, S330, S340, and S350.

[0037] Step S310: Transmit a test data source through multiple channels to obtain a multi-channel signal.

[0038] The transmitter is provided with multiple channels that are used for transmitting data, and after the transmitter generates a test data source based on cell configuration parameters, the test data source needs to be divided into several parts and transmitted through the multiple channels for subsequent appropriate processing of the test data source.

[0039] The transmitter proposed in this embodiment may be a remote radio unit or an active antenna unit. A remote radio unit or an active antenna unit is used depending on the actual usage situation. Regardless of which unit is selected, it is possible to detect the EVM, and in this application, there is no particular restriction on the selection of the transmitter.

[0040] Step S320: Digital-to-analog convert the multi-channel signal to obtain a multi-channel analog signal.

[0041] The generated test data sources are digital signals, and therefore, when transmitting the test data sources, it is necessary to convert the discrete digital quantities into analog quantities that change over the connections, i.e., to convert the digital signals into analog signals, in order to enable processing related to the resulting test data source analog signals.

[0042] Step S330: Power amplify the multi-channel analog signals to obtain multi-channel analog amplified signals.

[0043] After the multi-channel analog signal is obtained, the power of the signal is not enough to meet the load demand of the subsequent operation, so the power amplification process of the multi-channel analog signal is necessary.

[0044] Step S340: Screen the multi-channel analog amplified signals to obtain specific channel signals.

[0045] After the multi-channel analog amplified signals are obtained, during actual testing, since a multi-channel transmitter can only test the signals in one separate channel at a time, it is necessary to select one channel from the multi-channels and screen the analog amplified signals corresponding to that channel for subsequent loopback demodulation.

[0046] Step S350: Obtain a measurement signal based on a particular channel signal.

[0047] After the specific channel signal is obtained by screening, it needs to be converted into a digital signal that can be used for demodulation after being processed by a feedback coupling link, i.e., the measurement signal proposed in this embodiment.

[0048] 5, step S340 includes, but is not limited to, steps S341 and S342.

[0049] Step S341: Sample the multi-channel analog amplified signal to obtain a multi-channel sampled signal.

[0050] After the multi-channel analog amplified signal is output, and before the signal is finally demodulated and the error vector magnitude is calculated, the multi-channel analog amplified signal needs to be sampled for subsequent detection.

[0051] The signal extracted by sampling is about 40 dB, which means that about 1 / 100,000 of the total data amount is extracted. In the process of the transmitter normally transmitting data to the outside, only a very small amount of data is extracted and EVM detection is performed, so the transmitter has enough signal data to perform service interaction with the outside.

[0052] Step S342: Select one signal from the multi-channel sampling signals as a specific channel signal.

[0053] After the analog amplified signals in each channel are sampled to obtain multi-channel sampled signals, the transmitter cannot perform EVM detection on multiple channels simultaneously. Therefore, the transmitter must select the sampled signal of only one of the channels to perform EVM detection.

[0054] In addition, in the process of selecting a specific channel signal from the multi-channel sampling signals, a specific channel may be specified according to actual needs, and the sampling signal of the specific channel may be used for detection, or the sampling signal in one channel may be randomly selected for detection. This embodiment does not specifically limit this.

[0055] 5, step S350 includes, but is not limited to, steps S351, S352, and S353.

[0056] Step S351: Perform joint processing on specific channel signals to obtain a joint signal.

[0057] Step S352: Select one signal from the combined signals to be the specific slot data.

[0058] Step S353: The specific slot data is analog / digital converted to obtain a measurement signal.

[0059] After the specific channel signal is obtained by screening, the transmitter loops back the specific channel signal for demodulation. The transmitter first transmits the specific channel signal to the feedback coupling link to couple and process the specific channel signal, then converts the varying analog quantity of the connection into a discrete digital quantity through an analog / digital converter, that is, converts the analog signal into a digital signal, and finally obtains a measurement signal. Then, the measurement signal is demodulated and calculated to obtain the RF signature of the current transmitter.

[0060] According to the definition of various test models in 5G NR and LTE by the 38.141 protocol and the 36.141 protocol, different test model data includes multiple slot data. That is, the combined signal obtained by processing the test data source in the above-mentioned method includes multiple slot data. In this embodiment, one specific slot data is collected from multiple slot data in the combined signal and demodulated, that is, one signal is selected from the combined signal to be the specific slot data. For example, if the protocol specifies that the basic unit of demodulation is one slot (i.e., 1 slot) and the transmitted data stream is a total of 20 slots, if 1 slot is 0.5 milliseconds, the first slot data is extracted if the extracted slot delay is 0 milliseconds. If the extracted time slot delay is 5 milliseconds, the 10th time slot data is extracted. The same is true for the subsequent data. The selection of the specific slot data may specify slot data corresponding to a specific delay, or one slot data may be selected randomly. In this embodiment, the error vector amplitude can be detected by simply selecting one of the specific slot data. This embodiment does not specifically limit it.

[0061] 8, which is another flowchart of the EVM detection method according to an embodiment of the present application. Step S400 in the embodiment shown in FIG. 4 includes, but is not limited to, steps S410, S420, S430, S440, S450, S460, and S470.

[0062] Step S410: Determine a test model from the cell configuration parameters.

[0063] 3GPP TS38.141 protocol 4.9.2 specifies the 5G NR test model required for the RF indicator test of the AAU / RRU. 3GPP TS36.141 protocol 6.1.1 specifies the LTE test model required for the RF indicator test. In this embodiment, test models corresponding to different signaling methods are stored in the cell configuration parameters so that the transmitter determines the test model from the cell configuration parameters.

[0064] Step S420: Determine the modulation scheme according to the test model.

[0065] The parameters of the cell configuration parameters include signaling scheme and bandwidth. Various test models corresponding to different signaling schemes are specified in the 3GPP related protocols, and each test model corresponds to a modulation scheme and a corresponding number of resource blocks. After the transmitter determines the test model from the cell configuration parameters, it generates the corresponding test data source by itself. Therefore, in order to demodulate the processed test data source and calculate the error vector magnitude, it is also necessary to determine the corresponding modulation scheme according to the test model during the demodulation process.

[0066] Step S430: Obtain a link delay based on the measurement signal and the reference signal.

[0067] A transmitter is preset with a number of reference signals, each corresponding to a test model in the cell configuration parameters. In the 3GPP protocol, a specific reference signal is set for each different test model, i.e., each test model has a corresponding reference signal. The reference signal is a signal obtained by processing the test data source by the above processing means in an ideal state. Compared with the measurement signal obtained by processing the test data source in a real situation, the reference signal is a signal obtained by distortion-free transmission, i.e., only the magnitude of the signal amplitude and the time of appearance are different, and there is no change in the waveform.

[0068] In addition, in the process of performing digital / analog conversion, power amplification, combining, etc. on the test data source, a certain effect is exerted on the test data source, so when the measurement signal is obtained, there is a certain delay between the measurement signal and the reference signal. Therefore, in this embodiment, the link delay is obtained based on the comparison between the actually obtained measurement signal and the pre-stored reference signal.

[0069] Step S440: Perform delay alignment on the measurement signal based on the link delay to obtain first symbol data and second symbol data.

[0070] After obtaining the link delay, a delay alignment process is performed on the measurement signal to obtain first symbol data and second symbol data, where the first symbol data refers to the service data corresponding to the link delay in the specific slot data, and the second symbol data is the service data other than the first symbol data in the specific slot data. After obtaining the first symbol data and the second symbol data, the subsequent process is performed.

[0071] Step S450: Based on the reference signal, perform a channel estimation process on the channel in which the first symbol data exists, and obtain channel parameters.

[0072] After delay alignment, a channel estimation process is performed on the channel in which the first symbol data exists using the reference signal. Channel estimation is an important technology for realizing wireless communication, and detailed channel parameters must be obtained by channel estimation in order for the receiving side to correctly demodulate the transmitted signal.

[0073] Step S460: Perform channel equalization processing on the second symbol data based on the channel parameters to obtain equalized data.

[0074] After obtaining the channel parameters by channel estimation, channel equalization processing is performed on the other service symbol, i.e., the second symbol data, based on the channel parameters. Channel equalization technology is a fading countermeasure taken to improve the transmission performance of a communication system in a fading channel. This is mainly to eliminate or reduce the problem of inter-symbol crosstalk caused by multipath delay in wideband communication. By performing channel equalization processing on the second symbol data based on the channel parameters, equalized data is obtained.

[0075] Step S470: Demodulate the equalized data according to a modulation method to obtain an error vector magnitude.

[0076] The transmitter can determine the test model to be used for this detection based on the cell configuration parameters, and generate the corresponding test data source while determining the modulation method corresponding to the test model. After processing the test data source to obtain equalized data, the equalized data is subjected to demodulation calculation to obtain the error vector magnitude. The transmitter internally generates the test data source by itself, processes the test data source, and finally performs demodulation calculation on it to obtain the error vector magnitude. This makes it possible to determine whether an abnormality occurs in the RF indicator of the transmitter and identify the problem. The transmitter can detect the RF indicator by itself without removing the transmitter and returning to the factory for detection, which can greatly reduce the detection cost.

[0077] 5, step S340 further includes, but is not limited to, steps S343, S344, and S345.

[0078] Step S343: Obtain a multi-channel service signal based on the multi-channel analog amplified signal.

[0079] Step S344: Filter the multi-channel service signal to obtain a filtered signal.

[0080] Step S345: Transmit a filtering signal.

[0081] In step S341, the multi-channel analog amplified signal is sampled to obtain a multi-channel sampling signal, and then a multi-channel service signal is obtained based on the multi-channel analog amplified signal. The multi-channel service signal is a collection of signals other than the multi-channel sampling signal after the sampling of the multi-channel analog amplified signal is completed. In the sampling process, the extracted signal is about 40 dB, that is, the ratio of the multi-channel service signal to the multi-channel sampling signal is about 100000:1. After obtaining the multi-channel service signal, a filtering process is performed to obtain a filtering signal, and signal data required for service interaction is obtained, and finally the filtering signal is transmitted for service interaction. Specifically, in this embodiment, an antenna is used as a means for transmitting a filtering signal. In this application, other signal transmitting devices can also be used as a means for transmitting a signal, and this application is not particularly limited thereto.

[0082] 10, which is another flowchart of an EVM detection method according to an embodiment of the present application. The embodiment shown in FIG. 10 includes, but is not limited to, step S610, step S620, step S630, and step S640.

[0083] Step S610: Send a data source for testing EVM according to the AAU / RRU cell configuration.

[0084] Step S620: Collect one slot data by the collection module.

[0085] Step S630: Send the data to the demodulation module for EVM demodulation.

[0086] Step S640: EVM printing is performed.

[0087] When step S610 is executed, the AAU / RRU obtains the cell configuration from the control terminal, and then generates and transmits the test data source of the EVM by itself. The cell configuration includes information such as signaling method and bandwidth. The test data source is dynamically generated and transmitted according to the test data source generation method corresponding to each test model defined in the 3GPP related protocol. In addition, the test data sources corresponding to different test models can be dynamically switched, so that the purpose of switching the test data source according to the change of actual requirements can be achieved.

[0088] After the test data source is sent, step S620 is executed, that is, the collection module collects one slot data. According to the definition of various test models of NR and LTE in 3GPP 38.141 protocol and 36.141 protocol, different test data sources include multiple slot data. In this embodiment, a specific one slot data is collected, and the slot data is demodulated. Before collecting the slot data, the RF switch selection component of the channel to be measured is switched to the bonded channel, and the signal is looped back to the bonded channel to collect one slot data of the channel for EVM demodulation. After collecting the slot data, step S630 is executed, that is, the data is sent to the demodulation module and EVM demodulation is performed. This step includes steps such as delay alignment, channel estimation, channel equalization, and EVM calculation. In the delay alignment step, the slot data collected in step S620 and the reference signal stored locally in advance are used to calculate the link delay, perform delay alignment, and retrieve the corresponding symbol data after delay alignment. After the delay alignment is completed, the looped-back signal is taken out, and channel estimation processing is performed together with the reference signal to obtain the channel parameters. Then, channel equalization processing is performed on other service symbol data based on the channel parameters, and finally, EVM demodulation is performed according to the modulation method corresponding to the test model to obtain the current error vector magnitude. Finally, EVM printing is performed, which is step S640. In this step, the EVM finally demodulated and calculated is sent to the control terminal for display. In this embodiment, the EVM printing supports slot level, symbol level, and RB level printing, and may display the inquiry information according to the actual configuration. Compared with some detection methods, in this embodiment, there is no need to build a complex test environment, and the detection function of the RF channel EVM of the AAU / RRU can be achieved by simply connecting the AAU / RRU to the control terminal. The AAU / RRU can generate and transmit the test data source by itself, rather than generating the test data source by the BBU and then transmitting it to the AAU / RRU through the optical fiber.In addition, the AAU / RRU can loop back and demodulate the test data source through the bonded channel to obtain the EVM, and there is no need to connect to a spectrum analyzer through an attenuator to perform the EVM test. Meanwhile, by using the method of this embodiment, it is possible to detect whether the EVM is normal without removing the AAU / RRU and returning to the factory to detect it, thereby improving the efficiency of identifying the problem.

[0089] Referring to Fig. 11, Fig. 11 is a block diagram of hardware according to an embodiment of the present application. In this embodiment, an integrated circuit (IC) component includes modules such as a digital-to-analog converter 321, an analog-to-digital converter 322, a transmit port 330, a power amplifier 340, a filter 350, an antenna 360, a coupler 370, a switch selection component 380, and a feedback coupling link 390. The AAU / RRU is provided with multiple channels for data transmission, and each channel is correspondingly provided with modules such as a transmit port 330, a power amplifier 340, an antenna 360, and a coupler 370. The IC component is provided with an online EVM component 310. First, the cell configuration parameters include a signaling method and a corresponding test model. When the online EVM component 310 receives the cell configuration parameters from the control terminal, it generates and transmits the corresponding test data source by itself according to the cell configuration parameters, and after passing through the digital / analog converter 321, it processes the downstream RF link of the transmission port 330, the power amplifier 340, and the filter 350, and then transmits the processed data through the antenna 360 for service interaction. Meanwhile, a coupler 370 is provided between the power amplifier 340 and the filter 350. After one is selected from the combined signals from multiple channels by the switch selection component 380, only a part of the signal data of one channel passes through the feedback combined link 390, is analog / digital converted by the analog / digital converter 322, and is sent to the IC member. The online EVM component 310 stores a reference signal in advance. The reference signal is a measurement signal obtained by processing the test data source under ideal conditions. Compared with the measurement signal, the reference signal is a signal obtained by distortion-free transmission, that is, only the magnitude of the signal amplitude and the time of appearance are different, and there is no change in the waveform. Reference signals corresponding to different test models are pre-stored in the online EVM component 310. The online EVM component 310 collects designated slot data, obtains a measurement signal, and then performs EVM demodulation based on the measurement signal and the reference signal, and finally obtains the error vector magnitude.

[0090] It should be noted that the hardware operation method in this embodiment is mainly used in the following scenarios: AAU / RRU downstream RF indicator test, AAU / RRU production line production RF indicator test station, AAU / RRU RF indicator automation test, etc. In all scenarios, EVM detection can be performed without the need for BBU and spectrum analyzer, thereby reducing the detection cost and improving the efficiency of problem identification. In addition, when the traffic cannot reach the peak traffic, the method of this embodiment can be used to perform decoupling and determine whether the AAU / RRU downstream RF indicator is normal, without the need to take the AAU / RRU out of the station and re-measure it.

[0091] As shown in FIG. 12, another embodiment of the present application also provides an EVM detection apparatus. The EVM detection apparatus proposed in this embodiment includes an information acquisition module 410, a generation module 420, a processing module 430, a test module 440, and a transmission module 450. Among them, the information acquisition module 410 is configured to acquire cell configuration parameters from a control terminal. The generation module 420 is configured to generate a test data source based on the cell configuration parameters. The processing module 430 is configured to obtain a measurement signal based on the test data source. The test module 440 is configured to determine an error vector amplitude from the measurement signal and a preset reference signal. The transmission module 450 is configured to send the error vector amplitude to the control terminal, so that the control terminal identifies a transmitter problem based on the error vector amplitude. By acquiring the cell configuration parameters from the control terminal, a corresponding test data source is generated, and a measurement signal is obtained based on the test data source. Meanwhile, the AAU / RRU stores a reference signal in advance, and determines an error vector amplitude from the measurement signal and the preset reference signal, and finally transmits the error vector amplitude to the control terminal, so that the control terminal identifies the problem of the transmitter based on the error vector amplitude. The device can detect the RF indicator of the AAU / RRU by itself, so that it is easy to judge whether there is an abnormality in the RF channel of the AAU / RRU, and can judge whether the transmitter needs to be repaired based on the judgment result. Thereby, there is no need to remove the transmitter and return to the factory to detect the RF indicator, which can greatly reduce costs.

[0092] Another embodiment of the present application also provides a transmitter, which includes a memory, a processor, a program stored in the memory and executable by the processor, and a data bus enabling communication between the processor and the memory, and the transmitter can execute the EVM detection method proposed in the embodiment of the present application.

[0093] Another embodiment of the present application also provides a base station, the base station including a memory, a processor, and a computer program stored in the memory and executable by the processor.

[0094] The processor and memory may be connected via a data bus or other means.

[0095] The memory may be used as a non-transitory computer-readable storage medium to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, the memory may include high-speed random access memory, and may also include non-transitory memory such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory may include memory located remotely with respect to the processor that may be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, a corporate intranet, a local area network, a mobile communication network, and combinations thereof.

[0096] The non-transitory software programs and instructions necessary to realize the EVM detection methods of the above embodiments are stored in a memory and, when executed by a processor, perform the EVM detection methods of the above embodiments, for example method steps S100 to S500 of FIG. 4, method steps S310 to S350 of FIG. 5, method steps S341 to S342 of FIG. 6, method steps S351 to S353 of FIG. 7, method steps S410 to S470 of FIG. 8, method steps S343 to S345 of FIG. 9 and method steps S610 to S640 of FIG. 10.

[0097] The above described device embodiments are merely schematic, and the units described as separate components may or may not be physically separated, i.e., located in one place or distributed among multiple network units. Some or all of these modules may be selected to achieve the objectives of the embodiment according to actual needs.

[0098] Further, an embodiment of the present application provides a computer-readable storage medium, which stores computer-executable instructions, which, when executed by, for example, a processor, a processor or a controller in the embodiment of the base station, can cause the processor to execute the EVM detection method in the embodiment, for example, method steps S100 to S500 in FIG. 4, method steps S310 to S350 in FIG. 5, method steps S341 to S342 in FIG. 6, method steps S351 to S353 in FIG. 7, method steps S410 to S470 in FIG. 8, method steps S343 to S345 in FIG. 9, and method steps S610 to S640 in FIG. 10.

[0099] In the embodiment of the present application, the transmitter includes obtaining cell configuration parameters from a control terminal, generating a test data source according to the cell configuration parameters, obtaining a measurement signal according to the test data source, determining an error vector amplitude from the measurement signal and a preset reference signal, and finally sending the error vector amplitude to the control terminal, so that the control terminal identifies the problem of the transmitter based on the error vector amplitude. According to the embodiment of the present application, by obtaining the cell configuration parameters from the control terminal, a corresponding test data source is generated, and a measurement signal is obtained from the test data source. Meanwhile, the transmitter pre-stores a reference signal, and determines an error vector amplitude from the measurement signal and a preset reference signal, and finally sends the error vector amplitude to the control terminal, so that the control terminal identifies the problem of the transmitter based on the error vector amplitude. Since the method can detect the RF indicator of the transmitter by itself, it is easy to judge whether there is an abnormality in the RF channel of the AAU / RRU, and can judge whether the transmitter needs to be repaired based on the judgment result. Thereby, there is no need to remove the transmitter and return to the factory to detect the RF indicator, which can greatly reduce costs.

[0100] All or some of the steps in the methods disclosed above, the systems, the functional modules / units of the apparatus may be implemented as software, firmware, hardware, and any suitable combination thereof.

[0101] In hardware embodiments, the division between functional modules / units described in the above description does not necessarily correspond to the division of physical components. For example, one physical component may have multiple functions, or multiple physical components may cooperate to perform one function or step. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer readable medium, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (e.g., computer readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cartridges, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by a computer. Additionally, communication media typically includes computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and may include any information delivery media.

[0102] Some embodiments of the present application have been described above with reference to the drawings, which do not limit the scope of the rights of the present application. Any amendments, equivalent replacements and improvements made by those skilled in the art without departing from the scope and spirit of the present application shall be within the scope of the rights of the present application.

Claims

1. 1. A method for detecting EVM applied to a transmitter, comprising: obtaining cell configuration parameters from a control terminal; generating a test data source based on the cell configuration parameters; obtaining a measurement signal based on the test data source; determining an error vector magnitude from the measurement signal and a preset reference signal; transmitting the error vector magnitude to the control terminal such that the control terminal identifies a problem with the transmitter based on the error vector magnitude; Including, The transmitter is provided with a plurality of channels for transmitting data; The step of obtaining a measurement signal based on the test data source comprises: transmitting said test data source over a plurality of said channels to obtain a multi-channel signal; digital-to-analog converting the multi-channel signal to obtain a multi-channel analog signal; power amplifying the multi-channel analog signal to obtain a multi-channel analog amplified signal; sampling the multi-channel analog amplified signal to obtain a multi-channel sampled signal, the multi-channel sampled signal being a collection of sampled signals for each of the channels; selecting one signal from the multi-channel sampled signals as a particular channel signal; obtaining a measurement signal based on the particular channel signal; 1. A method for detecting an EVM comprising:

2. The step of obtaining a measurement signal based on the particular channel signal comprises: jointly processing the particular channel signals to obtain a joint signal including a plurality of slot data; selecting one signal from the combined signal as a specific slot data; performing an analog-to-digital conversion on the particular slot data to obtain the measurement signal; 2. The EVM detection method of claim 1, comprising:

3. The step of determining an error vector magnitude from the measurement signal and a preset reference signal comprises: determining a test model from the cell configuration parameters; determining a modulation scheme according to the test model; obtaining a link delay based on the measurement signal and the reference signal; performing delay alignment on the measurement signal based on the link delay to obtain first symbol data, which is service data corresponding to the link delay in the specific slot data, and second symbol data, which is service data other than the first symbol data in the specific slot data; performing a channel estimation process on a channel in which the first symbol data exists based on the reference signal to obtain a channel parameter; performing a channel equalization process on the second symbol data based on the channel parameters to obtain equalized data; demodulating the equalized data according to the modulation scheme to obtain an error vector magnitude; The EVM detection method of claim 2 , comprising:

4. After sampling the multi-channel analog amplified signal to obtain a multi-channel sampled signal, obtaining a multi-channel service signal based on the multi-channel analog amplified signal; filtering the multi-channel service signal to obtain a filtered signal; transmitting the filtering signal; The EVM detection method of claim 1 , further comprising:

5. an information acquisition module configured to acquire cell configuration parameters from a control terminal; a generation module configured to generate a test data source based on the cell configuration parameters; a processing module configured to transmit the test data source through a plurality of channels to obtain a multi-channel signal, perform digital-to-analog conversion on the multi-channel signal to obtain a multi-channel analog signal, power amplify the multi-channel analog signal to obtain a multi-channel analog amplified signal, sample the multi-channel analog amplified signal to obtain a multi-channel sampled signal which is a collection of the sampling signals of each of the channels, select one signal from the multi-channel sampled signals as a specific channel signal, and obtain a measurement signal based on the specific channel signal; a test module configured to determine an error vector magnitude from the measurement signal and a preset reference signal; a transmission module configured to transmit the error vector magnitude to the control terminal such that the control terminal identifies a transmitter problem based on the error vector magnitude; 1. An EVM detection device comprising:

6. A transmitter comprising: a memory; a processor; a program stored in the memory and executable by the processor; and a data bus enabling communication between the processor and the memory, wherein when the program is executed by the processor, steps of the EVM detection method described in any one of claims 1 to 4 are realized.

7. A base station comprising a memory, a processor, and a computer program stored in the memory and executable by the processor, the EVM detection method according to any one of claims 1 to 4 being realized when the processor executes the computer program.

8. A computer-readable storage medium storing a computer-executable program for causing a computer to execute the EVM detection method according to any one of claims 1 to 4.

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