CN111327370B - Radio frequency index determination method and device - Google Patents

Radio frequency index determination method and device Download PDF

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CN111327370B
CN111327370B CN201811527230.8A CN201811527230A CN111327370B CN 111327370 B CN111327370 B CN 111327370B CN 201811527230 A CN201811527230 A CN 201811527230A CN 111327370 B CN111327370 B CN 111327370B
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baseband data
data
radio frequency
frequency
spectrometer
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CN111327370A (en
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卢勇杰
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Datang Mobile Communications Equipment Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/10—Monitoring; Testing of transmitters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/10—Monitoring; Testing of transmitters
    • H04B17/101—Monitoring; Testing of transmitters for measurement of specific parameters of the transmitter or components thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2602—Signal structure

Abstract

The application discloses a radio frequency index determining method and device, which are used for reducing the time for testing downlink transmission TX radio frequency indexes by adopting parallel testing and improving the production testing efficiency. The radio frequency index determining method provided by the application comprises the following steps: sending a remote control command to a frequency spectrograph to control the frequency spectrograph to send baseband data; receiving baseband data sent by the frequency spectrograph; and analyzing the baseband data in parallel by adopting multiple threads to determine a plurality of radio frequency indexes.

Description

Radio frequency index determination method and device
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a radio frequency indicator.
Background
With the application of the multi-antenna technology, radio frequency index tests need to be performed on each antenna port in production, and the important transmission indexes are Adjacent Channel Leakage Ratio (ACLR) and Error Vector Magnitude (EVM).
Disclosure of Invention
The embodiment of the application provides a radio frequency index determining method, which is used for reducing the time for testing a downlink transmission TX radio frequency index by adopting parallel testing and improving the production testing efficiency.
The radio frequency index determining method provided by the embodiment of the application comprises the following steps:
sending a remote control command to a frequency spectrograph to control the frequency spectrograph to send baseband data;
receiving baseband data sent by the frequency spectrograph;
and analyzing the baseband data in parallel by adopting multiple threads to determine a plurality of radio frequency indexes.
The radio frequency index determining method provided by the embodiment of the application adopts a parallel test method, reduces the time for testing the downlink transmission TX radio frequency index, improves the production test efficiency, and only needs basic functional modules without depending on specific functional selection of a measuring instrument when the measuring method is combined with computer equipment.
Optionally, the radio frequency indicator includes: error vector magnitude EVM and adjacent channel leakage ratio ACLR.
With the application of the multi-antenna technology, radio frequency index tests need to be performed on each antenna port in production, wherein the important transmission indexes are EVM and ACLR.
Optionally, the EVM is determined by the following formula:
Figure BDA0001904759770000011
Figure BDA0001904759770000021
wherein, the IkThe in-phase component of an orthogonal frequency division multiplexing, OFDM, symbol of ideal baseband data, the QkIs the quadrature component of an OFDM symbol of ideal baseband data, said N being the length of the received baseband data,
Figure BDA0001904759770000026
for receiving the in-phase component of the OFDM symbol of the baseband data transmitted by the spectrometer,
Figure BDA0001904759770000027
Is the quadrature component of an OFDM symbol that receives baseband data transmitted by a spectrometer.
Before the measurement of the EVM, the baseband data needs to be processed, including processing the cyclic prefix of a frame of baseband data to obtain the data of each required subframe, dividing the data into single subframes, and then performing OFDM demodulation and equalization processing on each subframe.
Optionally, the ACLR is determined from a spectrogram determined from received baseband data.
The principle of determining a spectrogram from received baseband data is as follows:
calculating a power spectrum (Fourier transform of a time waveform) of a signal from the acquired baseband data, wherein the power spectrum of the signal is a representation value of the signal in a frequency domain, and the ACLR is calculated according to the power spectrum of the calculated signal;
the calculation principle of the power spectrum is based on the Pasteva theorem of discrete-time non-periodic signals (i.e. baseband data) with limited energy, and the formula is as follows:
Figure BDA0001904759770000022
wherein the equation states that the energy of the signal is equal to its integral value of the fourier transform;
let x (t) be a finite energy signal xa(t) the result of sampling at a uniform sampling rate F, then the signal energy:
Figure BDA0001904759770000023
the ACLR is calculated by calculating the energy (power spectrum) of the signal from the signal baseband data.
Finite energy signal xaThe fourier transform (i.e., the power spectrum of the signal) of (t) is:
Figure BDA0001904759770000024
according to the pasisva theorem, the signal energy is:
Figure BDA0001904759770000025
wherein, | Xa(F)|2To express the distribution of signal energy as a function of frequency, i.e., energy spectral density;
for discrete signals (i.e., acquired baseband data):
Figure BDA0001904759770000031
the equation represents the time discrete signal at baseband, and the power spectrum is obtained by performing fourier transform and dividing by its length. Where N denotes a length of the received baseband data, f is a sampling frequency for sampling the received baseband data, and x (N) is time domain data of the baseband data (i.e., data collected by the spectrometer).
Optionally, a remote control command is sent to the spectrum analyzer according to a preset time period, so that baseband data sent by the spectrum analyzer contains at least one frame of data with a complete TDD frame structure.
Another embodiment of the present application provides a computing device, which includes a memory and a processor, wherein the memory is used for storing program instructions, and the processor is used for calling the program instructions stored in the memory and executing any one of the above methods according to the obtained program.
Another embodiment of the present application provides a computer storage medium having stored thereon computer-executable instructions for causing a computer to perform any one of the methods described above.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a frequency spectrum calculated according to acquired baseband data according to a third embodiment of the present application;
fig. 2 is a schematic flowchart of a multi-thread parallel processing on acquired data according to a fourth embodiment of the present application;
fig. 3 is a schematic flowchart of a radio frequency index determining method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a radio frequency indicator determining apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another radio frequency indicator determining apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a radio frequency index determining method and device, which are used for reducing the time for testing a downlink transmission TX radio frequency index by adopting parallel testing and improving the production testing efficiency.
The method and the device are based on the same application concept, and because the principles of solving the problems of the method and the device are similar, the implementation of the device and the method can be mutually referred, and repeated parts are not repeated.
The technical scheme provided by the embodiment of the application can be suitable for various systems, particularly 5G systems. For example, the applicable system may be a global system for mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) General Packet Radio Service (GPRS) system, a Long Term Evolution (LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD), a Universal Mobile Telecommunications System (UMTS), a universal microwave Access (WiMAX) system, a 5G NR system, and the like. These various systems include terminal devices and network devices.
The terminal device referred to in the embodiments of the present application may refer to a device providing voice and/or data connectivity to a user, a handheld device having a wireless connection function, or other processing device connected to a wireless modem. The names of the terminal devices may also be different in different systems, for example, in a 5G system, the terminal devices may be referred to as User Equipments (UEs). Wireless terminal devices, which may be mobile terminal devices such as mobile telephones (or "cellular" telephones) and computers with mobile terminal devices, e.g., mobile devices that may be portable, pocket, hand-held, computer-included, or vehicle-mounted, communicate with one or more core networks via the RAN. Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistants (PDAs), and the like. The wireless terminal device may also be referred to as a system, a subscriber unit (subscriber unit), a subscriber station (subscriber station), a mobile station (mobile), a remote station (remote station), an access point (access point), a remote terminal device (remote terminal), an access terminal device (access terminal), a user terminal device (user terminal), a user agent (user agent), and a user device (user device), which are not limited in this embodiment of the present application.
The network device according to the embodiment of the present application may be a base station, and the base station may include a plurality of cells. A base station may also be referred to as an access point, or a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or by other names, depending on the particular application. The network device may be configured to interconvert received air frames with Internet Protocol (IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiment of the present application may be a Base Transceiver Station (BTS) in a global system for mobile communications (GSM) or a Code Division Multiple Access (CDMA), may also be a network device (NodeB) in a Wideband Code Division Multiple Access (WCDMA), may also be an evolved network device (eNB or e-NodeB) in a Long Term Evolution (LTE) system, a 5G base station in a 5G network architecture (next generation system), and may also be a home evolved node B (HeNB), a relay node (relay node), a home base station (femto), a pico base station (pico), and the like, which are not limited in the embodiments of the present application.
Various embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the display sequence of the embodiment of the present application only represents the sequence of the embodiment, and does not represent the merits of the technical solutions provided by the embodiments.
The present measurement system generally uses a multi-channel Radio frequency switch to switch antenna ports of different Radio Remote Units (RRUs) to a spectrometer, and then measures two important indicators ACLR and EVM transmitted by the RRUs, but the present measurement system is based on single-step measurement and needs to purchase specific function options of an instrument provider, such as LTE-TDD options and LTE-FDD options, so that the embodiment of the present application provides a method for testing Radio frequency indicators in parallel based on 3GPP protocols and related principles of digital signal processing, and the specific implementation manner is as described in the following embodiments.
In a first embodiment, a Radio Remote Unit (RRU) performs signal simulation for transmission:
in the embodiment of the present application, a signal source is used to generate a Time Division Duplex (TDD) signal, real RRU transmission is simulated, and Agilent N9020A is used as a measurement instrument, and a signal source is used to perform Time domain matching on the TDD signal to be transmitted according to the TDD standard in 3GPP, and the signal simulation process in the embodiment of the present application is as follows:
1. a signal source sends a TDD signal, the TDD signal enters a frequency spectrograph through a radio frequency line and an attenuator, and a computer collects IQ baseband data, wherein I is in-phase and represents an in-phase component, and Q is quadraturesis and represents an orthogonal component; the computer controls the spectrometer by sending a remote control command to the spectrometer, the spectrometer collects data to the computer, wherein sampled baseband data is time discrete data for calculating an index, the collection time needs to be greater than 20MS (namely the cycle of sending the remote control command by the computer needs to be greater than 20MS) in order to ensure that the collected data contains a complete frame, and after the data is collected, the data is processed (namely the process of demodulating the intercepted data) according to preset cell setting parameters (for example, the time domain ratio of TDD signals with 20M bandwidth is configured to be 3:7, and one frame of data meeting the configuration is intercepted according to the configuration in the baseband data);
2. time adjustment calculation is carried out according to a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS) of data, namely, a frequency spectrograph determines the initial position of a TDD Signal frame according to Synchronization data in collected data, a complete frame of data of a TDD frame structure is intercepted by determining the initial position of the TDD Signal frame, and 10MS data of the intercepted complete frame is consistent with a baseband data waveform of a waveform file generated by a Signal source (namely, the intercepted data is a complete frame and the time configuration of a frame defined by a protocol), wherein the baseband data of the waveform file generated by the Signal source is a TDD time waveform image formed by carrying out OFDM modulation on binary data through a series of codes.
In the second embodiment, calculating the EVM according to the predetermined cell parameter specifically includes:
firstly, uplink and downlink time slot matching and special subframe matching setting are required to be carried out on a TDD signal, and then one frame of data is processed as follows:
1. dividing data obtained after processing the cyclic prefix into single subframes;
2. OFDM demodulation is carried out on each sub-frame, and data equalization processing is carried out on each sub-frame (namely, data with channel fading is corrected according to pilot signals of a channel);
3. the EVM for a number of subframes is calculated according to the following formula and then averaged:
Figure BDA0001904759770000071
Figure BDA0001904759770000072
wherein, IkIn-phase component, Q, of an OFDM symbol of ideal baseband datakOrthogonal component of OFDM symbol of ideal baseband data, N is length of received baseband data, Ik、QkIn the case of the reference data,
Figure BDA0001904759770000073
for measured data, i.e.
Figure BDA0001904759770000074
For receiving the spectrometerThe in-phase component of the OFDM symbol of the transmitted baseband data,
Figure BDA0001904759770000075
in order to receive the orthogonal component of the OFDM symbol of the baseband data transmitted by the spectrometer, if N data are collected, k is the kth data of the N data.
In a third embodiment, fig. 1 is a frequency spectrum diagram obtained by fourier transform according to collected baseband data, where an abscissa represents a sampling rate of the collected baseband data, and an ordinate represents power of the baseband data collected by a frequency spectrometer, and the power has a certain correspondence with real power (i.e., frequency spectrum data considering various practical situations such as amplification loss of real hardware), for example, a calculated bandwidth power integral is 6.231, and a measurement result of the frequency spectrometer is 41DBM, a linear relationship exists between a calculated value and 41DBM, and the linear relationship can be obtained by measurement with a dedicated instrument; calculating ACLR from the spectrogram, calculating a power spectrum (fourier transform of a time waveform) of the signal from the collected baseband data, the power spectrum of the signal being a representation of the signal in the frequency domain, and calculating ACLR from the power spectrum of the calculated signal;
the calculation principle of the power spectrum is based on the Pasteva theorem of discrete-time non-periodic signals (i.e. baseband data) with limited energy, and the formula is as follows:
Figure BDA0001904759770000081
wherein the equation states that the energy of the signal is equal to its integral value of the fourier transform;
let x (t) be a finite energy signal xa(t) the result of sampling at a uniform sampling rate F, then the signal energy:
Figure BDA0001904759770000082
the ACLR is calculated by calculating the energy (power spectrum) of the signal from the signal baseband data.
Limited energySignal xaThe fourier transform (i.e., the power spectrum of the signal) of (t) is:
Figure BDA0001904759770000083
according to the pasisva theorem, the signal energy is:
Figure BDA0001904759770000084
wherein, | Xa(F)|2To express the distribution of signal energy as a function of frequency, i.e., energy spectral density;
for discrete signals (i.e., acquired baseband data):
Figure BDA0001904759770000085
the equation represents the time discrete signal at baseband, and the power spectrum is obtained by performing fourier transform and dividing by its length.
Wherein N represents the length of the received baseband data, f is the sampling frequency for sampling the received baseband data, and x (N) is the time domain data of the baseband data, which is the data collected by the frequency spectrograph.
According to the frequency domain data obtained by calculation in fig. 1, it can be known that 20M bandwidth measurement signals, the shadow area of the image identifier of part 1 in the graph and 20M signal power, and parts 2, 3, 4, and 5 are adjacent channel power with the same bandwidth, the shadow area of the four parts are respectively obtained, and according to the shadow area, the difference between the shadow area of part 2 and the shadow area of part 1 of ACLR is the left adjacent channel; the left adjacent track of ACLR is the difference between the area of the shadow part of the 3 parts and the area of the shadow part of the 1 part; the right-side approach of ACLR is the difference between the area of the shadow part of the 4 part and the area of the shadow part of the 1 part; right side of ACLR
The next trace is the difference between the area of the shaded portion of the 5 portion and the area of the shaded portion of the 1 portion.
In the fourth embodiment, the computer adopts a multithreading technology of C #, starts two threads after data is collected once, transmits the collected data respectively, and then calculates the collected data respectively, and the flow is shown in FIG. 2;
the previous measurement needs to carry out relevant setting on the instrument, the instrument outputs a measurement result, after the embodiment of the application is adopted, the instrument only carries out data acquisition, and then parallel computation is carried out on the acquired data through a computer, so that the rapid deployment of the instrument is realized, wherein, the second embodiment and the third embodiment of the application can replace the specific function selection of the instrument.
In summary, an embodiment of the present application provides a method for determining a radio frequency indicator, which is shown in fig. 3 and includes:
s101, sending a remote control command to a frequency spectrograph to control the frequency spectrograph to send baseband data, as in the implementation manner of the first embodiment of the application;
s102, receiving baseband data sent by the frequency spectrograph;
s103, in the fourth embodiment of the present application, the baseband data is analyzed in parallel by using multiple threads, and multiple radio frequency indexes, such as EVM in the second embodiment and ACLR in the third embodiment, are determined.
Accordingly, an embodiment of the present application provides a radio frequency index determining apparatus, see fig. 4, including:
the transmitting unit 11 is configured to transmit a remote control command to a frequency spectrograph to control the frequency spectrograph to transmit baseband data;
a receiving unit 12, configured to receive baseband data sent by the frequency spectrograph;
and the determining unit 13 is configured to analyze the baseband data in parallel by using multiple threads to determine multiple radio frequency indexes.
It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiment of the present application provides a computing device, which may specifically be a desktop computer, a portable computer, a smart phone, a tablet computer, a Personal Digital Assistant (PDA), and the like. The computing device may include a Central Processing Unit (CPU), memory, input/output devices, etc., the input devices may include a keyboard, mouse, touch screen, etc., and the output devices may include a Display device, such as a Liquid Crystal Display (LCD), a Cathode Ray Tube (CRT), etc.
The memory may include Read Only Memory (ROM) and Random Access Memory (RAM), and provides the processor with program instructions and data stored in the memory. In the embodiments of the present application, the memory may be used for storing a program of any one of the methods provided by the embodiments of the present application.
The processor is used for executing any one of the methods provided by the embodiment of the application according to the obtained program instructions by calling the program instructions stored in the memory.
An embodiment of the present application provides a radio frequency indicator determining apparatus, see fig. 5, including:
the processor 600, which is used to read the program in the memory 620, executes the following processes:
transmitting a remote control command to a frequency spectrograph through a transceiver 610 to control the frequency spectrograph to transmit baseband data;
receiving, by a transceiver 610, baseband data transmitted by the spectrometer;
and analyzing the baseband data in parallel by adopting multiple threads to determine a plurality of radio frequency indexes.
Optionally, the radio frequency indicator includes: error vector magnitude EVM and adjacent channel leakage ratio ACLR.
Optionally, processor 600 determines the EVM by the following formula:
Figure BDA0001904759770000101
Figure BDA0001904759770000111
wherein, the IkThe in-phase component of an orthogonal frequency division multiplexing, OFDM, symbol of ideal baseband data, the QkIs the quadrature component of an OFDM symbol of ideal baseband data, said N being the length of the received baseband data,
Figure BDA0001904759770000112
for receiving the in-phase component of the OFDM symbol of the baseband data transmitted by the spectrometer,
Figure BDA0001904759770000113
Is the quadrature component of an OFDM symbol that receives baseband data transmitted by a spectrometer.
Optionally, the processor 600 determines the ACLR from a spectrogram determined from the received baseband data.
Optionally, the processor 600 sends a remote control command to the spectrum analyzer according to a preset time period, so that the baseband data sent by the spectrum analyzer contains at least one frame of data with a complete TDD frame structure.
A transceiver 610 for receiving and transmitting data under the control of the processor 600.
Wherein in fig. 5, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 600, and various circuits of memory, represented by memory 620, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 610 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. For different user devices, the user interface 630 may also be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.
The processor 600 is responsible for managing the bus architecture and general processing, and the memory 620 may store data used by the processor 600 in performing operations.
Alternatively, the processor 600 may be a CPU (central processing unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a CPLD (Complex Programmable Logic Device).
Embodiments of the present application provide a computer storage medium for storing computer program instructions for an apparatus provided in the embodiments of the present application, which includes a program for executing any one of the methods provided in the embodiments of the present application.
The computer storage media may be any available media or data storage device that can be accessed by a computer, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
The method provided by the embodiment of the application can be applied to terminal equipment and also can be applied to network equipment.
The Terminal device may also be referred to as a User Equipment (User Equipment, abbreviated as "UE"), a Mobile Station (Mobile Station, abbreviated as "MS"), a Mobile Terminal (Mobile Terminal), or the like, and optionally, the Terminal may have a capability of communicating with one or more core networks through a Radio Access Network (RAN), for example, the Terminal may be a Mobile phone (or referred to as a "cellular" phone), a computer with Mobile property, or the like, and for example, the Terminal may also be a portable, pocket, hand-held, computer-built-in, or vehicle-mounted Mobile device.
A network device may be a base station (e.g., access point) that refers to a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminals. The base station may be configured to interconvert received air frames and IP packets as a router between the wireless terminal and the rest of the access network, which may include an Internet Protocol (IP) network. The base station may also coordinate management of attributes for the air interface. For example, the Base Station may be a Base Transceiver Station (BTS) in GSM or CDMA, a Base Station (NodeB) in WCDMA, an evolved Node B (NodeB or eNB or e-NodeB) in LTE, or a gNB in 5G system. The embodiments of the present application are not limited.
The above method process flow may be implemented by a software program, which may be stored in a storage medium, and when the stored software program is called, the above method steps are performed.
To sum up, the embodiments of the present application provide a method and an apparatus for determining a radio frequency indicator, which, by combining with a computer, simplify the step of setting an instrument, the instrument only needs basic configuration, and does not need specific function options, such as TDD Option and FDD Option, thereby implementing rapid deployment of the instrument, and when the production condition does not have an instrument Option, normal production can be performed, and the requirement for a factory environment is reduced; in addition, the embodiment of the application adopts a multithreading technology to finish the measurement of the radio frequency index in parallel, thereby improving the production test efficiency, saving a large amount of test time and improving the productivity.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (11)

1. A radio frequency index determination method, characterized in that the method comprises:
sending a remote control command to a frequency spectrograph to control the frequency spectrograph to send baseband data; the baseband data contains at least one frame of complete data of a Time Division Duplex (TDD) frame structure;
receiving baseband data sent by the frequency spectrograph;
and analyzing the baseband data in parallel by adopting multiple threads to determine a plurality of radio frequency indexes.
2. The method of claim 1, wherein the radio frequency metrics comprise:
error vector magnitude EVM and adjacent channel leakage ratio ACLR.
3. The method of claim 2, wherein the EVM is determined by the formula:
Figure FDA0002943380640000011
Figure FDA0002943380640000012
wherein, the IkIs an ideal baseIn-phase component of an orthogonal frequency division multiplexing, OFDM, symbol with data, the QkIs the quadrature component of an OFDM symbol of ideal baseband data, said N being the length of the received baseband data,
Figure FDA0002943380640000013
for receiving the in-phase component of the OFDM symbol of the baseband data transmitted by the spectrometer,
Figure FDA0002943380640000014
Is the quadrature component of an OFDM symbol that receives baseband data transmitted by a spectrometer.
4. The method of claim 2, wherein the ACLR is determined from a spectrogram determined from received baseband data.
5. The method of claim 4, wherein determining the ACLR from a spectrogram determined from received baseband data comprises: from the received baseband data, a power spectrum of the signal, which is a representation of the signal in the frequency domain, is calculated, and the calculation of the ACLR is performed based on the calculated power spectrum of the signal.
6. The method of claim 1, wherein the remote control command is transmitted to the spectrometer for a predetermined period of time, such that the baseband data transmitted by the spectrometer contains at least one frame of data of a complete TDD frame structure.
7. A radio frequency indicator determination apparatus, the apparatus comprising:
the device comprises a transmitting unit, a receiving unit and a processing unit, wherein the transmitting unit is used for transmitting a remote control command to a frequency spectrograph to control the frequency spectrograph to transmit baseband data; the baseband data contains at least one frame of complete data of a Time Division Duplex (TDD) frame structure;
a receiving unit, configured to receive baseband data sent by the frequency spectrograph;
and the determining unit is used for analyzing the baseband data in parallel by adopting multiple threads and determining a plurality of radio frequency indexes.
8. The apparatus of claim 7, wherein the radio frequency indicator comprises:
error vector magnitude EVM and adjacent channel leakage ratio ACLR.
9. The apparatus of claim 7, wherein the remote control command is sent to the spectrometer for a predetermined period of time, such that the baseband data sent by the spectrometer contains at least one frame of data of a complete TDD frame structure.
10. A computing device, comprising:
a memory for storing program instructions;
a processor for calling program instructions stored in said memory to execute the method of any one of claims 1 to 6 in accordance with the obtained program.
11. A computer storage medium having stored thereon computer-executable instructions for causing a computer to perform the method of any one of claims 1 to 6.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1805313A (en) * 2005-11-21 2006-07-19 海信集团有限公司 Quick parallel radio frequency test system and test method for mobile terminals
CN101217522A (en) * 2007-12-27 2008-07-09 华为技术有限公司 A method and device to determine the predistortion parameter of open loop, commutator and commutating method
CN102014413A (en) * 2010-12-13 2011-04-13 北京北方烽火科技有限公司 System and method for testing radio frequency (RF) of long term evolution (LTE) base station
CN105491585A (en) * 2015-12-02 2016-04-13 中国电子科技集团公司第四十一研究所 TD_LTE_Advanced base station signal analysis device and TD_LTE_Advanced base station signal analysis method based on non signaling

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8918060B2 (en) * 2011-09-29 2014-12-23 St-Ericsson Sa 2G, 2.5G RF loopback arrangement for mobile device self-testing

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1805313A (en) * 2005-11-21 2006-07-19 海信集团有限公司 Quick parallel radio frequency test system and test method for mobile terminals
CN101217522A (en) * 2007-12-27 2008-07-09 华为技术有限公司 A method and device to determine the predistortion parameter of open loop, commutator and commutating method
CN102014413A (en) * 2010-12-13 2011-04-13 北京北方烽火科技有限公司 System and method for testing radio frequency (RF) of long term evolution (LTE) base station
CN105491585A (en) * 2015-12-02 2016-04-13 中国电子科技集团公司第四十一研究所 TD_LTE_Advanced base station signal analysis device and TD_LTE_Advanced base station signal analysis method based on non signaling

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