CN109324248A - Integrated vector network analyzer and its test method for data domain analysis - Google Patents
Integrated vector network analyzer and its test method for data domain analysis Download PDFInfo
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Abstract
The invention discloses a kind of integrated vector network analyzers and its test method for data domain analysis, and in particular to high speed data transfer the field of test technology.The present invention is extended existing vector network analyzer hardware structure, increases sampling head and pulse generation etc., and the time domain specification for completing high speed data transmission system is tested;Data field pattern is obtained by pattern generating algorithm first, and according to rise and fall time, the parameter interpolations such as transmitted data rates obtain the input signal of high speed data transmission system, then the interpolation of amplitude and phase is carried out to the network parameter of frequency domain using interpolation algorithm, and passivity is carried out to the network parameter that interpolation obtains, causality and symmetrical analysis and compensation, after the step of completing front, input signal and compensated network parameter are subjected to convolution and obtain the time domain response by system, further analysis obtains the eye figure of system receiving terminal, the time domain specifications such as shake, it completes from time domain, analytic process of the frequency domain to data field.
Description
Technical field
The present invention relates to high speed data transfer the field of test technology, and in particular to a kind of integration for data domain analysis
Vector network analyzer and its test method.
Background technique
In the test of high speed data transmission system, vector network analyzer be mainly used for connector in system, cable and
The frequency domain characteristic of the components such as backboard is tested, and oscillograph is mainly used for the time domains such as the waveform of system, eye figure, shake and Time Domain Reflectometry spy
Property test.Traditional, the entire test of system is completed, engineer needs using a variety of instruments while repeating to connect repeatedly tested
Part, trivial operations and measuring accuracy is low.
It is quick with emerging technologies such as the 5th third-generation mobile communication, Internet of Things, artificial intelligence, virtual reality and automatic Pilots
Development, as the foundation stone of these technologies, high speed data transmission system must also follow these emerging technologies fast-developing.Each single item
New technology all can bring new test challenge for high-speed digital design, and at present, these test problems are primarily present in height
Speed calculates interface, data center interconnection and these three fields of consumer electronics product.Supercomputing interface mainly includes DDR memory
Interface, the test analysis of PCIe high speed interface;It is 802.3 ether network marks that data center interconnection, which mainly studies test content,
Standard, the test of QSFP photoelectric conversion interface, current data center interconnection are quickly propelled from 100Gbps to 400Gbps;Disappear
Take closely related electronic product and our daily lifes and aforementioned emerging technology and the nearest product of terminal user, with
The interface upgrades such as USB, HDMI and DP are evolved, and the challenge of bring high speed test is also more and more.For new technology high speed data
Transmission system test, engineer need from design and emulation, analysis, all angles such as debugging and uniformity test, to improve production
The high-speed digital design of product.
Currently, the instrument plant commercial city of mainstream is proposed high speed data transmission system test Solution, such as the U.S. is moral
Science and technology, Tyke and Li Ke.The scheme for being wherein Deco skill is relatively completely, to provide vector network analysis and carry out frequency domain
Test, oscillograph carry out waving map, the analysis of high-level software designing system (ADS) achievable data field.But the program is not
It is integrated scheme, more instruments and software is needed to complete entire test.
Summary of the invention
It, can be primary the purpose of the present invention is in view of the above deficiencies, proposing one kind to reduce to test equipment type requirements
A variety of tests are completed in connection, while being reduced testing cost and being improved the integration arrow for data domain analysis of measuring accuracy
Measure Network Analyzer and its test method.
The present invention specifically adopts the following technical scheme that
For the integrated vector network analyzer of data domain analysis, including signal source, directional coupler, coaxial fitting,
Sampling head, frequency mixer and intermediate-frequency receiver are connected with switching switch on the coaxial fitting, pass through switching switch selection connection orientation
Coupler or sampling head are connected with intermediate frequency switching switch on intermediate-frequency receiver, pass through intermediate frequency switching switch selection connection frequency mixer
Or sampling joint, local oscillator is connected on the frequency mixer, and local oscillator connects same a period of time base with sampling head.
Preferably, including frequency domain parameter test pattern and time domain parameter test pattern, frequency is first switched in test process
Domain test mode, and it is calibrated to instrument port;Then cable and fixture are connected on the analyzer, utilize TRL or automatic folder
Have removing method and obtains cable and fixture model;Analyzer is finally switched to Modulation, after obtaining test result, before utilization
The model of one step is modified, and improves measuring accuracy, in which:
Frequency domain parameter test pattern: by switching switch and intermediate frequency switching switch while top is pushed, what signal source generated sweeps
Frequency or point frequency sinusoidal signal pass through directional coupler and are output to coaxial fitting, and the signal of reflection passes through the coupled end of directional coupler
After mouth enters frequency mixer, the intermediate-freuqncy signal of generation by intermediate frequency switching switch into intermediate-frequency receiver, believe by the transmission of coaxial fitting
Number enter another port by measured piece, enters intermediate-frequency receiver according to identical path, in incident and reflection signal enters
After frequency receiver, by filtering, normalized generates frequency domain parameter;
Time domain parameter test pattern: by switching switch and intermediate frequency switching switch while lower part is pushed, coaxial fitting receives
After external test signal, test signal of the sampling head in the window of the time of very little is maintained, the electricity that then will be maintained
Signal is sent into intermediate-frequency receiver and carries out data processing, complete after the repeated sampling that multiple periods are carried out for duplicate digital signal
It is rebuild at the time domain of test signal.
Preferably, the cable and fixture between instrument and measured piece are obtained using the De- embedding algorithm of vector network analyzer
Model, obtain test result after, be modified using the model.
The test method of integrated vector network analyzer is sweared using the integration as described above for data domain analysis
Network Analyzer is measured, data field 0,1 pattern are obtained using pattern generating algorithm, according to the rise and fall time sum number of digital signal
The input signal of high-speed data system is obtained according to rate parameter interpolation, then carries out the network parameter of input signal and measured piece
Convolution obtains the time domain response of system receiving terminal, and further analysis obtains the time domain specifications such as eye figure, the shake of system receiving terminal;Tool
Body includes:
Step is 1.: radio-frequency cable being connected to the vector network analyzer for being used for data domain analysis, then using machinery
Or Electronic Calibration part completes the calibration of vector network analyzer, obtains calibration error item, and test end face is extended to radio-frequency cable
Coaxial fitting end face;
Step is 2.: using step 1. in RF cable and test fixture measured piece and vector network analyzer be connected to
Together, then algorithm is removed using TRL or automatic fixture to obtain the model of fixture, will test end face extend to test fixture with
The junction of measured piece;
Step is 3.: the vector network analyzer measurement for being used for data domain analysis obtains the frequency domain S parameter of measured piece, and benefit
The model for 1. 2. obtaining calibration error item and De- embedding with step with step is modified, and obtains the accurate S parameter square of measured piece
Battle array SDUT;
Step is 4.: data rate required for setting is analyzed, rise and fall time and low and high level parameter, and selects data
The type in domain generates data field pattern according to the type of setting;
Step is 5.: 4. step generates data field pattern, in order to carry out convolution algorithm with the frequency domain data of test, according to step
4. the data rate being arranged, rise and fall time and low and high level parameter interpolation generate time domain sampled data Vinput;
Step is 6.: obtaining the step 3. corresponding time-domain sampling of frequency domain S parameter according to test frequency width and number of test points
Time interval and sampling time length, and be compared with the sampling time interval of step 5. time domain sampled data, with pattern
Time domain sampled data VinputSampling time interval on the basis of, 3. frequency domain S parameter S that step is obtainedDUTInterpolation is carried out to obtain
SDUTInter, the process of interpolation is by S parameter SDUTIt is launched into the form of amplitude and phase, using linear or batten according to required
Points carry out interpolation;
Step is 7.: to the S parameter S after interpolationDUTInterPassivity, causality and Symmetry Detection are carried out, if S after interpolation
Parameter is unsatisfactory for a certain item of these three characteristics, just compensates to the characteristic, and modified S is obtained after the completion of detecting and compensating
Parameter matrix SDUTupdate;
Step is 8.: by the transformation algorithm of frequency domain to time domain, 7. S parameter S that step is obtainedDUTupdateIt is changed into time domain
Impulse response, the time domain sampled data waveform of 5. pattern that step is generated are rolled up with the time domain impulse response of aforementioned generation
Product operation, obtains data field pattern by the time domain response data after passive high-speed data channel, further achievable eye figure with
The analysis of shake.
Preferably, the step 6. in the process of interpolation be by S parameter SDUTIt is launched into the form of amplitude and phase, benefit
Interpolation is carried out according to required points with linear or batten.
Preferably, the step 8. in frequency domain to time domain transformation algorithm be inverse fast Fourier transform algorithm.
The invention has the following beneficial effects:
1) the integrated vector network analyzer for being used for data domain analysis can complete the frequency of high speed data transmission system
Domain, time domain and data field characteristic test;The complexity for reducing test macro, reduces user cost, while reducing measured piece
Number is connected, repetition connection error is avoided;
2) when carrying out time domain specification test, using the advanced calibration algorithm of vector network analyzer to the error of instrument
It is compensated with test fixture, reduces test error, improve measuring accuracy;
3) when carrying out data domain test, passivity, causality and symmetry are carried out by the network parameter obtained to interpolation
Analysis and compensation improve the accuracy of the time domain response of receiving end, and then improve data field measuring accuracy.
Detailed description of the invention
Fig. 1 is the single port hardware composition schematic diagram of the integrated vector network analyzer for data domain analysis;
Fig. 2 is the waving map scheme schematic diagram of the test method;
Fig. 3 is the flow diagram of waving map;
Fig. 4 is data field parameter setting dialog box schematic diagram;
Fig. 5 is data field pattern;
Fig. 6 is the time domain sampled data waveform of pattern;
Fig. 7 is test data process block diagram.
Specific embodiment
A specific embodiment of the invention is described further in the following with reference to the drawings and specific embodiments:
As shown in Figure 1, it is used for the integrated vector network analyzer of data domain analysis, including signal source, directional coupler,
Coaxial fitting, sampling head, frequency mixer and intermediate-frequency receiver are connected with switching switch on the coaxial fitting, pass through switching switch choosing
Connection directional coupler or sampling head are selected, intermediate frequency switching switch is connected on intermediate-frequency receiver, switch selection is switched by intermediate frequency
It is connected to frequency mixer or sampling joint, connects local oscillator on the frequency mixer, local oscillator connects same a period of time base with sampling head.
The Network Analyzer includes frequency domain parameter test pattern and time domain parameter test pattern, is switched first in test process
To frequency domain test mode, and it is calibrated to instrument port;Then cable and fixture are connected on the analyzer, using TRL or certainly
Dynamic fixture removing method obtains cable and fixture model;Analyzer is finally switched to Modulation, after obtaining test result, benefit
It is modified with the model of back, improves measuring accuracy, in which:
Frequency domain parameter test pattern: by switching switch and intermediate frequency switching switch while top is pushed, what signal source generated sweeps
Frequency or point frequency sinusoidal signal pass through directional coupler and are output to coaxial fitting, and the signal of reflection passes through the coupled end of directional coupler
After mouth enters frequency mixer, the intermediate-freuqncy signal of generation by intermediate frequency switching switch into intermediate-frequency receiver, believe by the transmission of coaxial fitting
Number enter another port by measured piece, enters intermediate-frequency receiver according to identical path, in incident and reflection signal enters
After frequency receiver, by filtering, normalized generates frequency domain parameter;
Time domain parameter test pattern: by switching switch and intermediate frequency switching switch while lower part is pushed, coaxial fitting receives
After external test signal, test signal of the sampling head in the window of the time of very little is maintained, the electricity that then will be maintained
Signal is sent into intermediate-frequency receiver and carries out data processing, complete after the repeated sampling that multiple periods are carried out for duplicate digital signal
It is rebuild at the time domain of test signal, tests the reconstruction process of signal as shown in Fig. 2, the sampling head in this analyzer is needed using high
Rapid pulse punches into sampling and keeps, and the pulse also can be used as test signal, be sent in measured piece, what completion was entirely tested
Internal loopback, reduces the dependence to external test signal or instrument, and the amendment flow chart of waving map is as shown in Figure 3.
The model of the cable and fixture between instrument and measured piece is obtained using the De- embedding algorithm of vector network analyzer,
After obtaining test result, it is modified using the model.
As shown in fig. 7, the test method of integrated vector network analyzer, using as described above for data domain analysis
Integrated vector network analyzer, data field 0,1 pattern are obtained using pattern generating algorithm, according under the rising of digital signal
Drop time and data rate parameter interpolation obtain the input signal of high-speed data system, then by the net of input signal and measured piece
Network parameter carries out convolution and obtains the time domain response of system receiving terminal, and further analysis obtains eye figure, shake of system receiving terminal etc.
Time domain specification;It specifically includes:
Step is 1.: radio-frequency cable being connected to the vector network analyzer for being used for data domain analysis, then using machinery
Or Electronic Calibration part completes the calibration of vector network analyzer, obtains calibration error item, and test end face is extended to radio-frequency cable
Coaxial fitting end face;
Step is 2.: using step 1. in RF cable and test fixture measured piece and vector network analyzer be connected to
Together, then algorithm is removed using TRL or automatic fixture to obtain the model of fixture, will test end face extend to test fixture with
The junction of measured piece;
Step is 3.: the vector network analyzer measurement for being used for data domain analysis obtains the frequency domain S parameter of measured piece, and benefit
The model for 1. 2. obtaining calibration error item and De- embedding with step with step is modified, and obtains the accurate S parameter square of measured piece
Battle array SDUT;
Step is 4.: data rate required for being analyzed using the setting of Fig. 4 data field parameter dialog box, rise and fall time and
The parameters such as low and high level, and the type of data field is selected, data field pattern as shown in Figure 5 is generated according to the type of setting;
Step is 5.: 4. step generates data field pattern, in order to carry out convolution algorithm with the frequency domain data of test, according to step
4. the data rate being arranged, rise and fall time and low and high level parameter interpolation generate time domain sampled data as shown in FIG. 6
Vinput;
Step is 6.: obtaining the step 3. corresponding time-domain sampling of frequency domain S parameter according to test frequency width and number of test points
Time interval and sampling time length, and be compared with the sampling time interval of step 5. time domain sampled data, with pattern
Time domain sampled data VinputSampling time interval on the basis of, 3. frequency domain S parameter S that step is obtainedDUTInterpolation is carried out to obtain
SDUTInter, the process of interpolation is by S parameter SDUTIt is launched into the form of amplitude and phase, using linear or batten according to required
Points carry out interpolation.
Step is 7.: to the S parameter S after interpolationDUTInterPassivity, causality and Symmetry Detection are carried out, if S after interpolation
Parameter is unsatisfactory for a certain item of these three characteristics, just compensates to the characteristic, and modified S is obtained after the completion of detecting and compensating
Parameter matrix SDUTupdate;
Step is 8.: by the transformation algorithm of frequency domain to time domain, 7. S parameter S that step is obtainedDUTupdateIt is changed into time domain
Impulse response, the time domain sampled data waveform of 5. pattern that step is generated are rolled up with the time domain impulse response of aforementioned generation
Product operation, obtains data field pattern by the time domain response data after passive high-speed data channel, further achievable eye figure with
The analysis of shake.
Preferably, the step 6. in the process of interpolation be by S parameter SDUTIt is launched into the form of amplitude and phase, benefit
Interpolation is carried out according to required points with linear or batten.
Preferably, the step 8. in frequency domain to time domain transformation algorithm be inverse fast Fourier transform algorithm
(IFFT)。
Certainly, the above description is not a limitation of the present invention, and the present invention is also not limited to the example above, this technology neck
The variations, modifications, additions or substitutions that the technical staff in domain is made within the essential scope of the present invention also should belong to of the invention
Protection scope.
Claims (6)
1. being used for the integrated vector network analyzer of data domain analysis, which is characterized in that including signal source, directional coupler,
Coaxial fitting, sampling head, frequency mixer and intermediate-frequency receiver are connected with switching switch on the coaxial fitting, pass through switching switch choosing
Connection directional coupler or sampling head are selected, intermediate frequency switching switch is connected on intermediate-frequency receiver, switch selection is switched by intermediate frequency
It is connected to frequency mixer or sampling joint, connects local oscillator on the frequency mixer, local oscillator connects same a period of time base with sampling head.
2. being used for the integrated vector network analyzer of data domain analysis as described in claim 1, which is characterized in that including frequency
Field parameter test pattern and time domain parameter test pattern first switch to frequency domain test mode in test process, and are calibrated to instrument
Device port;Then cable and fixture are connected on the analyzer, obtain cable and folder using TRL or automatic fixture removing method
Has model;Analyzer is finally switched to Modulation, after obtaining test result, is modified, is mentioned using the model of back
High measuring accuracy, wherein:
Frequency domain parameter test pattern: pushing top simultaneously for switching switch and intermediate frequency switching switch, the frequency sweep of signal source generation or
Point frequency sinusoidal signal is output to coaxial fitting by directional coupler, the signal of reflection by directional coupler coupling port into
After entering frequency mixer, the intermediate-freuqncy signal of generation enters intermediate-frequency receiver by intermediate frequency switching switch, and the transmission signal of coaxial fitting passes through
It crosses measured piece and enters another port, enter intermediate-frequency receiver according to identical path, enter intermediate frequency in incident and reflection signal and connect
After receipts machine, by filtering, normalized generates frequency domain parameter;
Time domain parameter test pattern: by switching switch and intermediate frequency switching switch while lower part is pushed, coaxial fitting receives outside
Test signal after, test signal of the sampling head in the window of the time of very little maintains, the electric signal that then will be maintained
It is sent into intermediate-frequency receiver and carries out data processing, after the repeated sampling for carrying out duplicate digital signal multiple periods, complete to survey
The time domain of trial signal is rebuild.
3. being used for the integrated vector network analyzer of data domain analysis as claimed in claim 2, which is characterized in that utilize arrow
The De- embedding algorithm for measuring Network Analyzer obtains the model of cable and fixture between instrument and measured piece, obtains test result
Afterwards, it is modified using the model.
4. the test method of integrated vector network analyzer, described data domain analysis to be used for using claim 1-3 is any
Integrated vector network analyzer, which is characterized in that data field 0,1 pattern are obtained using pattern generating algorithm, according to number
The rise and fall time and data rate parameter interpolation of signal obtain the input signal of high-speed data system, then by input signal
Convolution is carried out with the network parameter of measured piece and obtains the time domain response of system receiving terminal, and further analysis obtains system receiving terminal
The time domain specifications such as eye figure, shake;It specifically includes:
Step is 1.: radio-frequency cable being connected to the vector network analyzer for being used for data domain analysis, then using mechanically or electrically
Sub- calibration component completes the calibration of vector network analyzer, obtains calibration error item, and test end face is extended to the same of radio-frequency cable
Shaft coupling end face;
Step is 2.: using step 1. in RF cable and test fixture measured piece and vector network analyzer be connected to one
It rises, then removes algorithm using TRL or automatic fixture and obtain the model of fixture, test end face is extended into test fixture and quilt
Survey the junction of part;
Step is 3.: the vector network analyzer measurement for being used for data domain analysis obtains the frequency domain S parameter of measured piece, and utilizes step
Suddenly calibration error item is 1. 2. obtained with step and the model of De- embedding is modified, obtain the accurate S parameter matrix of measured piece
SDUT;
Step is 4.: data rate required for setting is analyzed, rise and fall time and low and high level parameter, and selects data field
Type generates data field pattern according to the type of setting;
Step is 5.: 4. step generates data field pattern, in order to carry out convolution algorithm with the frequency domain data of test, is 4. set according to step
Data rate, rise and fall time and the low and high level parameter interpolation set generate time domain sampled data Vinput;
Step is 6.: obtaining step 3. frequency domain S parameter corresponding time-domain sampling time according to test frequency width and number of test points
Interval and sampling time length, and be compared with the sampling time interval of step 5. time domain sampled data, with the time domain of pattern
Sampled data VinputSampling time interval on the basis of, 3. frequency domain S parameter S that step is obtainedDUTInterpolation is carried out to obtain
SDUTInter, the process of interpolation is by S parameter SDUTIt is launched into the form of amplitude and phase, using linear or batten according to required
Points carry out interpolation;
Step is 7.: to the S parameter S after interpolationDUTInterPassivity, causality and Symmetry Detection are carried out, if S parameter after interpolation
It is unsatisfactory for a certain item of these three characteristics, just the characteristic is compensated, modified S parameter is obtained after the completion of detecting and compensating
Matrix SDUTupdate;
Step is 8.: by the transformation algorithm of frequency domain to time domain, 7. S parameter S that step is obtainedDUTupdateIt is changed into time domain impulse
Response, the time domain sampled data waveform of 5. pattern that step is generated carry out convolution fortune with the time domain impulse response of aforementioned generation
It calculates, obtains data field pattern and pass through the time domain response data after passive high-speed data channel, further achievable eye figure and shake
Analysis.
5. the test method of integration vector network analyzer as claimed in claim 4, which is characterized in that the step 6. in
The process of interpolation be by S parameter SDUTIt is launched into the form of amplitude and phase, using linear or batten according to required points
Carry out interpolation.
6. the test method of integration vector network analyzer as claimed in claim 4, which is characterized in that the step 8. in
Frequency domain to time domain transformation algorithm be inverse fast Fourier transform algorithm.
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