CN113945772A - Rapid continuous point measurement system and method based on vector network analyzer - Google Patents
Rapid continuous point measurement system and method based on vector network analyzer Download PDFInfo
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- CN113945772A CN113945772A CN202111197217.2A CN202111197217A CN113945772A CN 113945772 A CN113945772 A CN 113945772A CN 202111197217 A CN202111197217 A CN 202111197217A CN 113945772 A CN113945772 A CN 113945772A
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- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/10—Radiation diagrams of antennas
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Abstract
The system comprises a main system, a first subsystem and a second subsystem, wherein the first subsystem and the second subsystem adopt a high-speed serial interaction interface and a parallel mode to carry out data interaction to obtain a measurement result, the main system is used for receiving and sending an instruction, and dynamically allocating a data storage space according to the size of a main machine memory of the vector network analyzer to store and then send the measurement result for one time.
Description
Technical Field
The disclosure belongs to the technical field of data processing, and relates to a rapid continuous point measurement system and method based on a vector network analyzer.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the development of fifth-generation mobile communication and broadband satellite communication and the progress of millimeter wave radar imaging technology applied to the safety field, increasingly wide application of microwave millimeter wave antennas, MIMO antennas, antenna arrays and the like also puts higher requirements on antenna testing. The antenna array performance test usually needs to test the reflection characteristic and the transmission characteristic of different distances by using a vector network analyzer, and an antenna test system is often formed together with a rotary table. The test system obtains the test data of the vector network analyzer by using the program control command of the vector network analyzer through the GPIB or the network interface, and then obtains the final test results such as the antenna directional diagram and the like through subsequent processing. The data control and processing mode of the traditional vector network analyzer system is that the measurement result of one scanning of all parameters of a specified port of a specified channel can be obtained, the measurement result of the last scanning is covered by data during scanning again, and instrument retrace and software setting and control time exist between every scanning. When the antenna test system is programmed, scanning waiting commands such as OPC (optical proximity correction) and the like are required, and the next scanning measurement can be carried out only after the vector network analyzer finishes scanning and data reading. The pre-scan latency and retrace settling time of each scan and the programmed data read time take up considerable time in the entire data acquisition process, resulting in overall inefficient testing of the antenna.
An antenna near-field test system composed of a vector network analyzer and an antenna turntable generally comprises the following behavior modes: setting the measuring state (frequency range, measuring point number, measuring trace line and the like) of the vector network analyzer, forming a trigger chain with the rotary table by triggering input and output, and repeatedly triggering scanning to acquire a data process by using the upper computer to program the vector network analyzer and the rotary table until the measurement is completely finished. At present, commercial vector network analyzers have the functions of scanning control and storing and reading measured data, but do not have the function of reading a plurality of scanning measured results at one time, generally, an antenna test system controls the vector network analyzer to scan once at each position of a rotary table, then reads the measured data, controls the rotary table to the next position, and controls the vector network analyzer to scan and read the data.
In summary, the current vector network analyzer cannot continuously store the measurement results of multiple scans, and then reads the measurement results of multiple scans once by command; in addition, the number of data measured by the vector network analyzer at one time is limited by the maximum scanning point number of the vector network analyzer, and the measurement data exceeding the maximum measuring point number of the vector network analyzer is often required to be obtained during one-time antenna test.
Disclosure of Invention
The invention provides a rapid continuous point measurement system and a method based on a vector network analyzer, which aims to solve the problems that the vector network analyzer cannot continuously store a plurality of scanning measurement results, improves the scanning control and data processing flow of the vector network analyzer, adds a rapid continuous point measurement system, realizes the acquisition function of continuous scanning data without interruption by a distributed data control mode and a large-capacity first-in first-out cache queue method, dynamically applies for a data storage space according to the size of a host memory of the vector network analyzer, and allows a user to obtain a plurality of measurement results without interruption by a provided program control command.
According to some embodiments, the following technical scheme is adopted in the disclosure:
a rapid continuous point measurement system based on a vector network analyzer adopts a distributed system, the distributed system adopts a multithreading mode to realize the test of a tested piece, and comprises a main system, a first subsystem and a second subsystem, the first subsystem and the second subsystem adopt a high-speed serial interaction interface and a parallel mode to carry out data interaction, the main system is used for receiving a user end instruction, dynamically allocating a data storage space according to the size of a main machine memory of the vector network analyzer, and storing and then transmitting a plurality of scanning measurement results once.
As a possible implementation manner, the main system is configured to control the whole hardware according to a control instruction, interact with original data, and perform scan control setting, the second subsystem is configured to perform intra-segment scanning to obtain original measurement data, and the first subsystem is configured to control the whole hardware and is configured to preprocess the original measurement simulation data to obtain a measurement result.
As a possible implementation, the multi-thread mode includes a main control thread, an input and output monitoring thread, a vector network analyzer monitoring thread, a data processing thread, and a graphic display thread.
As a possible implementation manner, the main control thread is configured to control the vector network analyzer to generate an excitation signal and receive a signal to be measured according to a preset sequence, and the input/output monitoring thread, the vector network analyzer monitoring thread, and the data processing thread are configured to interact with the first subsystem and the second subsystem, so as to obtain a parameter measurement result.
As a possible implementation manner, the main control thread is used for controlling the overall control flow of the vector network analyzer according to a trigger mode;
the input and output monitoring thread is used for monitoring the data processing process of each subsystem of the vector network analyzer;
the vector network analyzer monitoring thread is used for monitoring data acquisition of each subsystem of the vector network analyzer;
the data processing thread processes the data of each subsystem according to the parameter type to generate parameter data required by a user side;
and the graphic display thread is used for displaying the measurement result on a screen of the vector network analyzer according to a preset format.
As a possible implementation manner, the main control thread of the main system and the second subsystem perform interaction of original data in a manner of sharing the RAM, and perform data storage through a two-level RAM cache mode.
As a possible implementation, the preset sequence includes a sequence of channels and ports of the vector network analyzer, and all parameters of each port are obtained by one scan.
As a possible implementation, the scanning time measured by the vector network analyzer at one time is composed of the acquisition time of each point data, the delay time of each point, the switching time between the periods and the regression processing time.
The rapid continuous point measurement method based on the system and based on the vector network analyzer comprises the following steps:
receiving a control instruction;
testing a tested piece by adopting a distributed multi-thread mode, and performing data interaction by adopting a high-speed serial interaction interface and a parallel mode to obtain a multi-scanning measurement result;
dynamically allocating data storage space according to the size of the memory of the host of the vector network analyzer and storing the measurement results of multiple scanning;
the results of multiple scan measurements are read at once.
A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor of a terminal device and to execute a method of rapid serial point measurement based on a vector network analyzer.
A terminal device comprising a processor and a computer readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the rapid continuous point measurement method based on the vector network analyzer.
Compared with the prior art, the beneficial effect of this disclosure is:
the method overcomes the defect that a vector network analyzer can not continuously store multiple scanning measurement results, improves the scanning control and data processing flow of the vector network analyzer, adds a rapid continuous point measurement system, realizes the function of continuously and continuously acquiring scanning data by a distributed data control mode and a high-capacity first-in first-out cache queue method, dynamically applies for a data storage space according to the size of a host memory of the vector network analyzer, and allows a user to obtain uninterrupted multiple measurement results by a provided program control command.
The present disclosure improves efficiency by distributing the entire scanning process to each subsystem by employing a distributed processing architecture; a multithreading and parallel mode is adopted, and original data realize data transmission by utilizing a PCIe interface mode of block transmission; continuous point data acquisition is realized by adopting a two-stage RAM (random access memory) cache mode, a continuous data storage space is managed by adopting a first-in first-out queue mode, and the storage space is simultaneously read and written by adopting a read-write priority and a mutual exclusion semaphore mode;
the present disclosure optimizes each node of the scanning process, reduces time consumption by reducing inter-segment setup time, turning off display, reducing control data transmission time; for the dot frequency mode, a continuous storage mode in which the upper limit of the number of dots is not limited is supported.
The method does not limit the scanning type setting of the net marks and the establishment of the net mark measurement parameters, the system stores the measurement results of all the parameters in sequence, and the user analyzes the measurement results in sequence after reading the measurement results; the user may specify a data storage format.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a schematic diagram of the overall architecture of a distributed data control process;
FIG. 2 is a schematic view of a vector network analyzer scanning process flow;
FIG. 3 is a schematic diagram of a cache design;
FIG. 4 is a parameter storage diagram;
FIG. 5 is a schematic view of a vector network analyzer scan time distribution.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1
Fig. 1 is a schematic diagram of a distributed system of a continuous point measurement system, and as shown in fig. 1, embodiment 1 of the present disclosure provides a rapid continuous point measurement system based on a vector network analyzer, where the distributed system is used to implement a test of a tested piece in a multithreading mode, and includes a main system, a first subsystem, and a second subsystem, where the first subsystem and the second subsystem use a high-speed serial interaction interface and a parallel mode to perform data interaction, the main system is used to receive a sending instruction, and dynamically allocate a data storage space according to the size of a host memory of the vector network analyzer to store and send a multiple scanning measurement result at one time.
Specifically, the user side sends a control instruction, the main system receives the control instruction, is used for controlling the hardware of the whole machine according to the control instruction, simultaneously interacts with original data and performs scanning control setting, and the second subsystem is responsible for scanning in a section to complete acquisition of the original data. The first subsystem is responsible for overall hardware control and realizes conversion from analog to digital, and a high-speed serial interaction interface and parallel interface mode is adopted between the first subsystem and the second subsystem to realize microsecond-level data interaction; the main system and the second subsystem adopt PCIe block transmission mode to realize the purpose of large-batch high-speed original data interaction; the main system and the first subsystem interact through a local bus.
The distributed system adopts a multithreading mode to realize the test function of the vector network analyzer, and adopts a parallel mode to improve the interaction efficiency among subsystems.
Fig. 2 is a schematic view of a scanning control flow of the vector network analyzer, as shown in fig. 2:
the multithreading mode comprises a main control thread, an input and output monitoring thread, a vector network analyzer monitoring thread, a data processing thread and a graphic display thread;
the main control thread is used for controlling the vector network analyzer to generate excitation signals and receive signals to be measured according to a preset sequence, and the input and output monitoring thread, the vector network analyzer monitoring thread and the data processing thread are used for interacting with the first subsystem and the second subsystem so as to obtain parameter measurement results.
As one or more embodiments, the master thread is configured to control an overall control process of a vector network analyzer;
the input and output monitoring thread is used for monitoring the data processing process of the vector network analyzer subsystem;
the vector network analyzer monitoring thread is used for monitoring acquisition of subsystem data of the vector network analyzer;
the data processing thread processes the acquired original data of the second subsystem according to the parameter type, and further generates parameter data required by a user;
and the graphic display thread displays the measurement result on a screen of the vector network analyzer according to a format required by a user.
And real-time interaction of original data is realized between the main control thread of the main system and the main control thread of the first subsystem in a RAM sharing mode.
To reduce the overall time taken for a scan, the present embodiment will turn off the image display function of the vector network analyzer.
In order to improve the data interaction efficiency, the invention adopts a batch read-write method to reduce the communication interaction time and improve the overall throughput of data; meanwhile, RAM cache is opened up in the subsystem 2 to support higher data storage rate. When the system needs to acquire continuous point measurement data, the vector network analyzer uses a data RAM with the maximum capacity of 4G, manages the data RAM in a first-in first-out mode, performs mutual exclusion on the read-write passing semaphore of the data RAM, and defines that the write priority is higher than the read priority so as to ensure the integrity of the data.
FIG. 3 is a schematic diagram of a data RAM, as shown in FIG. 3, when the data RAM is turned off, reset and recalled, the read pointer g _ iRdPos, the write pointer g _ iWrPos and the data count variable g _ iFifoDataCount are reset to an initial state; when data are stored, the number of the data to be stored is increased by a data counting variable and a write pointer; and when reading data, returning the read data from the position of the read pointer, subtracting the number of the read data from the data counting variable and the read pointer, and returning to the initial state if the read pointer and the write pointer are greater than the length of the data RAM.
The preset sequence comprises a channel of the vector network analyzer and a port sequence, all parameters of each port are obtained through one-time scanning, the vector network analyzer comprises a receiver, and the data storage position is a corresponding relation between the measurement parameters and the receiver.
As a specific example, fig. 4 is a schematic diagram of parameter storage, and as shown in fig. 4, the user end creates three traces, where the parameters are S11, S21, and a, respectively, and for a four-port vector network, S11 equals a/R, and S21 equals B/R, and the storage order is A, S11, S21.
The parameters are those of a standard vector network analyzer, and therefore, will not be explained in detail.
In specific implementation, the number of parameters created by a user is not limited, the user can set according to actual conditions, meanwhile, the dot frequency mode is not limited, and data of all ports which can be scanned by a current channel are sequentially stored in a memory. The port order is in the order of port 1-port 2-port 3-port 4.
Fig. 5 is a schematic diagram of the scanning time distribution of the vector network analyzer, and as shown in fig. 5, the scanning time measured by the vector network analyzer at one time is composed of the acquisition time of each point data, the delay time t1 of each point, the switching time t2 between segments, and the regression processing time t 3. T1 is determined by medium frequency bandwidth and hardware stabilization time, and cannot be further optimized on the basis of certain hardware; t2 is determined by the switching time and control setting time of different bands, and can be further optimized by overlapping the data reading and control setting time; t3 is determined by data post-processing time, display time, hardware retrace settling time and preset time, and can remove display time, simplify post-processing flow and optimize.
Example 2
The embodiment 2 of the present disclosure provides a rapid continuous point measurement method based on a vector network analyzer, including the following steps:
receiving a control instruction;
scanning an object to be measured by adopting a distributed multithreading mode and performing data interaction by adopting a parallel mode to obtain a plurality of scanning measurement results;
dynamically allocating data storage space according to the size of the memory of the host of the vector network analyzer and storing the measurement results of multiple scanning;
the results of multiple scan measurements are read at once.
Example 3
The embodiment 3 of the present disclosure provides a computer-readable storage medium or a terminal device, where a plurality of instructions are stored, and the instructions are adapted to be loaded by a processor of the terminal device and execute the method for fast continuous point measurement based on a vector network analyzer described in embodiment 2.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure 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, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. 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.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
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