CN105846920B - 8 error calibrating methods of N+1 receiver structures vector network analyzer - Google Patents
8 error calibrating methods of N+1 receiver structures vector network analyzer Download PDFInfo
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Abstract
The present invention proposes a kind of 8 error calibrating methods of N+1 receiver structures vector network analyzer, and the first step carries out plug-type SOLT calibrations using close adjustment part in vector network analyzer 1,2 ports, obtains 10 whole errors;Second step, by the first step 10 errors and formula (1) obtain switch error term Γ (2,1), Γ (1,2);Third walks, and carries out the solution of switch error term, and computing system error, obtains 8 errors;4th step obtains the directionality of 10 error models, source matching, skin tracking, transmission tracking error obtain the load matched error of 10 error models using formula (4) using the formula (2);5th step is measured measured piece parameter, and is modified using systematic error.The present invention can make N+1 receiver structure vector network analyzers in the case where not changing hardware configuration, using all kinds of calibration methods based on 8 error models.
Description
Technical field
The present invention relates to technical field of measurement and test, more particularly to a kind of vector network analyzer error calibrating method.
Background technology
The vector network analyzer of N+1 receiver structures refers to lattice gauge and contains 1 reference receiver and N number of measuring receiver
The N-port vector network analyzer of composition.
For the vector network analyzer of N+1 receiver structures, since it is containing only there are one reference receivers, so can not
Signal (such as a containing two or more reference channel1|Source=2).Vector network analyzer needs school before measurement device
Standard, and TRL, SOLR in existing calibration method etc. is to need to use in intermediate computations based on 8 error models
To switch error termSo N+1 receiver structures vector network analyzer can not carry out TRL, SOLR
Deng the calibration based on 8 error models.
Existing N+1 receiver structures vector network analyzer can not be calibrated using TRL, can only be substituted with SOLT calibrations,
Reduce the use scope of such network instrument.Such network instrument is directed to non-intrusive device, it is straight-through using zero-length, definition is straight-through,
Adapter removes calibration and SOLR is replaced to calibrate.And straight-through part is defaulted as 0 decaying 0 and is delayed by zero-length thru calibration, reduces school
Quasi- precision;Definition is straight-through to need accurate setting to lead directly to parameter, for operator, it is difficult to obtain the detail parameters for leading directly to part;
Adapter removal calibration method calibration process is cumbersome, usual two-port calibration, minimum to need 13 steps, is traditional SOLT calibrations step number
Nearly twice of (7 step).
However TRL has a wide range of applications in waveguide calibration, fixture calibration, metering grade calibration, SOLR calibrations are present
One of non-intrusive calibrating mode of mainstream.So the vector network analyzer in N+1 receiver structures is completed to use 8 errors
Calibration it is imperative.
Invention content
To solve deficiency in the prior art, the present invention proposes a kind of N+1 receiver structures vector network analyzer 8
Error calibrating method.
The technical proposal of the invention is realized in this way:
A kind of 8 error calibrating methods of N+1 receiver structures vector network analyzer, include the following steps:
The first step carries out plug-type SOLT calibrations using close adjustment part in vector network analyzer 1,2 ports, obtains
10 whole errors:ED(1,1), ED(2,2), ER(1,1), ER(2,2), ES(1,1), ES(2,2), EL(2,1), EL(1,2),
ET(2,1), ET(1,2);
Second step, by the first step 10 errors and formula (1) obtain switch error term Γ (2,1), Γ (1,2),
In above formula, Γ is switch error term, and E represents 10 error parameters, and subscript Representative errors parameter type, D is direction
Property error, S is source matching error, R is skin tracking error, T is transmission tracking error, L is load matched error, in bracket
First digit represents receiving port, and second digit represents source port;
Third walks, and the solution of switch error term is carried out using the transforming relationship of 10 error models and 8 error models,
And computing system error, obtain 8 errors, wherein the transforming relationship of 10 error models and 8 error models is:
In above-mentioned formula, the independent entry in e Representative errors models, subscript represents port, and subscript 00 is represented by proximal port
Error term, subscript 01 represent the error term for returning to port, and subscript 10 represents the error term gone out from port, and subscript 11 represents separate
The error term of port;E represents 10 error parameters, subscript Representative errors parameter type, and D is directional error, and S is that source matching misses
Difference, R are skin tracking error, T is transmission tracking error, L is load matched error, and the first digit in bracket, which represents, to be received
Port, second digit represent source port;
4th step obtains the directionality of 10 error models, source matching, skin tracking, transmission using the formula (2)
Tracking error obtains the load matched error of 10 error models using formula (4):
In the process, switch error term Γ (2,1), Γ (1,2) are read in, and for calculating;
5th step is measured measured piece parameter, and is modified using systematic error.
Optionally, after the completion of the second step, in storage switch error term to file.
Optionally, after storage switch error term to file, cable is reconnected according to measured piece port type, then carries out institute
State third step operation.
The beneficial effects of the invention are as follows:
(1) make N+1 receiver structure vector network analyzers in the case where not changing hardware configuration, using with 8 mistakes
All kinds of calibration methods based on differential mode type;
(2) application range for having expanded N+1 receiver structure vector network analyzers improves non-intrusive device calibration
Precision.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Fig. 1 is N+1 receiver structure vector network analyzer system diagrams;
Fig. 2 is 10 error model (forward direction) schematic diagrames;
Fig. 3 is mid-module (forward direction) schematic diagram that 10 error models and 8 error models convert;
Fig. 4 is 8 error model schematic diagrames.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Existing N+1 receiver structures vector network analyzer can not be calibrated using TRL, can only be substituted with SOLT calibrations,
Reduce the use scope of such network instrument.
The present invention proposes a kind of 8 error calibrating methods of N+1 receiver structures vector network analyzer, including following step
Suddenly:
The first step carries out plug-type SOLT calibrations using close adjustment part in vector network analyzer 1,2 ports, obtains
10 whole errors:ED(1,1), ED(2,2), ER(1,1), ER(2,2), ES(1,1), ES(2,2), EL(2,1), EL(1,2),
ET(2,1), ET(1,2).
Second step, referring to Fig. 2, Fig. 3 and Fig. 4, by the first step 10 errors and formula (1) obtain switch error term Γ
(2,1), Γ (1,2),
In above formula, Γ is switch error term, and E represents 10 error parameters, and subscript Representative errors parameter type, D is direction
Property error, S is source matching error, R is skin tracking error, T is transmission tracking error, L is load matched error, in bracket
First digit represents receiving port, and second digit represents source port.
Third walks, and referring to Fig. 2, Fig. 3 and Fig. 4, is carried out using the transforming relationship of 10 error models and 8 error models
The solution of error term is switched, and computing system error obtains 8 errors, wherein 10 error models and 8 error models
Transforming relationship is:
In above-mentioned formula, the independent entry in e Representative errors models, subscript represents port, and subscript 00 is represented by proximal port
Error term, subscript 01 represent the error term for returning to port, and subscript 10 represents the error term gone out from port, and subscript 11 represents separate
The error term of port;E represents 10 error parameters, subscript Representative errors parameter type, and D is directional error, and S is that source matching misses
Difference, R are skin tracking error, T is transmission tracking error, L is load matched error, and the first digit in bracket, which represents, to be received
Port, second digit represent source port.
4th step obtains the directionality of 10 error models, source matching, skin tracking, transmits tracking using formula (2)
Error obtains the load matched error of 10 error models using formula (4):
In the process, switch error term Γ (2,1), Γ (1,2) are read in, and for calculating.
5th step is measured measured piece parameter, and is modified using systematic error.
Since switch error term is stored with document form, so only needing to pass through for the first time for vector network analyzer
Switch error term is calculated, calibration later is obtained from file.
It switchs error term and represents to match caused by source switch and change, be entirely the parameter inside vector network analyzer,
Independent of external component or connection type.
8 error calibrating methods of the present invention are described in detail with reference to specific embodiment, the embodiment is to swear
Amount Network Analyzer 1,2 port TRL calibration for analyzed, those skilled in the art can introduction according to the present invention answer
Use SOLR calibrations, TRM calibrations, LRL calibrations.
8 error TRL calibrations specifically include following steps:
Step (1) carries out plug-type SOLT calibrations using close adjustment part in vector network analyzer 1,2 ports, obtains
To 10 whole errors:ED(1,1), ED(2,2), ER(1,1), ER(2,2), ES(1,1), ES(2,2), EL(2,1), EL(1,
2)、ET(2,1), ET(1,2).
Step (2) obtains switch error term Γ (2,1), Γ (1,2) by 10 errors and formula (1) of previous step.
Step (3), in storage switch error term to file.
Step (4) reconnects cable according to measured piece port type.
Step (5) carries out TRL calibrations, and computing system error, obtains 8 errors:
Wherein:Independent entry in e Representative errors models;Subscript represents port;Subscript 00 represents the error term by proximal port,
Subscript 01 represents the error term for returning to port, and subscript 10 represents the error term gone out from port, and subscript 11 is represented far from port
Error term.
Step (6) obtains the directionality of 10 error models, source matching, skin tracking, transmits tracking using formula (2)
Error obtains the load matched error of 10 error models using formula (4):
In the process, the switch error term Γ (2,1) stored in file, Γ (1,2) are read in, and for calculating.
Step (7) is measured measured piece parameter, and is modified using systematic error.
Since switch error term is stored with document form, so only needing to be obtained by calculation for the first time for lattice gauge
Error term is switched, calibration later is obtained from file.
The present invention can make N+1 receiver structure vector network analyzers in the case where not changing hardware configuration, application
All kinds of calibration methods based on 8 error models, that has expanded N+1 receiver structure vector network analyzers applies model
It encloses, improves the precision of non-intrusive device calibration.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention god.
Claims (3)
1. a kind of 8 error calibrating methods of N+1 receiver structures vector network analyzer, which is characterized in that include the following steps:
The first step carries out plug-type SOLT calibrations using calibrating device in vector network analyzer 1,2 ports, obtains whole 10
Item error:ED(1,1), ED(2,2), ER(1,1), ER(2,2), ES(1,1), ES(2,2), EL(2,1), EL(1,2), ET(2,1),
ET(1,2);
Second step, by the first step 10 errors and formula (1) obtain switch error term Γ (2,1), Γ (1,2),
In above formula, Γ is switch error term, and E represents 10 error parameters, subscript Representative errors parameter type, and D misses for directionality
Difference, S is source matching error, R is skin tracking error, T is transmission tracking error, L is load matched error, first in bracket
A number represents receiving port, and second digit represents source port;
Third walks, and the solution of switch error term is carried out using the transforming relationship of 10 error models and 8 error models, and counts
Systematic error is calculated, 8 errors are obtained, wherein the transforming relationship of 10 error models and 8 error models is:
In above-mentioned formula, the independent entry in e Representative errors models, subscript represents port, and subscript 00 represents the error by proximal port
, subscript 01 represents the error term for returning to port, and subscript 10 represents the error term gone out from port, and subscript 11 is represented far from port
Error term;E represents 10 error parameters, subscript Representative errors parameter type, and D is directional error, and S is source matching error, R
Be transmission tracking error for skin tracking error, T, L is load matched error, the first digit in bracket represents receiving terminal
Mouthful, second digit represents source port;
4th step, using the formula (2) and formula (3), obtain the directionality of 10 error models, source matching, skin tracking,
Transmission tracking error obtains the load matched error of 10 error models using formula (4):
In the process, switch error term Γ (2,1), Γ (1,2) are read in, and for calculating;
5th step is measured measured piece parameter, and is modified using systematic error.
2. 8 error calibrating methods of N+1 receiver structures vector network analyzer as described in claim 1, which is characterized in that
After the completion of the second step, in storage switch error term to file.
3. 8 error calibrating methods of N+1 receiver structures vector network analyzer as claimed in claim 2, which is characterized in that
After storage switch error term to file, cable is reconnected according to measured piece port type, then carries out the third step operation.
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CN106405462B (en) * | 2016-08-30 | 2019-03-22 | 中国电子科技集团公司第十三研究所 | Piece scattering parameter trace to the source and uncertainty evaluation method |
CN106788795B (en) * | 2016-11-15 | 2020-12-18 | 中国电子科技集团公司第四十一研究所 | Calibration method for measuring group delay of frequency mixer by using electronic calibration piece |
CN107144806A (en) * | 2017-06-09 | 2017-09-08 | 中国电子科技集团公司第四十研究所 | A kind of lattice gauge receiver calibration method for introducing matching amendment |
CN109444721B (en) * | 2018-12-19 | 2020-11-24 | 中国电子科技集团公司第十三研究所 | Method for detecting S parameter and terminal equipment |
CN111751627B (en) * | 2020-06-05 | 2022-11-29 | 浙江铖昌科技股份有限公司 | Self-calibration method of vector network analyzer based on ten-term error model |
CN113791285B (en) * | 2021-08-23 | 2022-12-27 | 电子科技大学 | Vector network analyzer of non-reference receiver |
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CN103399286A (en) * | 2013-07-16 | 2013-11-20 | 中国电子科技集团公司第四十一研究所 | Measurement calibration method for multi-characteristic impedance network |
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