CN112051532A - Intermediate frequency calibration method based on vector network analyzer - Google Patents
Intermediate frequency calibration method based on vector network analyzer Download PDFInfo
- Publication number
- CN112051532A CN112051532A CN202010770038.2A CN202010770038A CN112051532A CN 112051532 A CN112051532 A CN 112051532A CN 202010770038 A CN202010770038 A CN 202010770038A CN 112051532 A CN112051532 A CN 112051532A
- Authority
- CN
- China
- Prior art keywords
- intermediate frequency
- frequency
- network analyzer
- vector network
- calibration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000013461 design Methods 0.000 claims abstract description 8
- 238000012937 correction Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 6
- 230000003321 amplification Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 5
- 238000001228 spectrum Methods 0.000 claims description 5
- 238000010183 spectrum analysis Methods 0.000 claims description 4
- 230000003750 conditioning effect Effects 0.000 claims description 3
- 238000010408 sweeping Methods 0.000 claims description 3
- 230000005284 excitation Effects 0.000 abstract description 6
- 238000005259 measurement Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/005—Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The invention discloses a medium-frequency calibration method based on a vector network analyzer, which comprises the following steps: acquiring a frequency sweep intermediate frequency signal in a bandwidth; obtaining correct amplitude-phase characteristics; calculating an intermediate frequency calibration error term; compensating the intermediate frequency signal; the calibration results are stored. Controlling flatness characteristics and phase characteristics of an intermediate frequency channel and consistency design among intermediate frequencies of different ports on hardware design by utilizing characteristics of a vector network analyzer excitation source and a receiver which are related and independent to each other; in software design, the power and frequency settings of a signal source and a local oscillator of the vector network analyzer are controlled to enable the signal source and the local oscillator to generate intermediate frequency signals with different frequencies through frequency mixing, so that flatness calibration in an effective pass band of the intermediate frequency signals is achieved, and the intermediate frequencies of different ports and different channels are calibrated and corrected.
Description
Technical Field
The invention belongs to the field of vector network analyzer testing, and particularly relates to a vector network analyzer-based intermediate frequency calibration method.
Background
With the development of fifth generation mobile communication, radar and electronic warfare, the testing importance of broadband electronic equipment is increasing, and the improvement of the complexity of the actual working state of the electronic equipment puts more requirements on the testing function of the vector network analyzer. At present, the high-performance vector network analyzer provides an S parameter characteristic test function aiming at complex devices such as an amplifier, a mixer and the like, and on the basis, a user provides a frequency spectrum analysis function needing to be added to a tested piece for many times so as to obtain the frequency response characteristic of the tested piece, thereby facilitating the realization of measuring the comprehensive characterization characteristic of a full parameter at one time. However, the processing mode of the conventional vector network analyzer is a point intermediate frequency mode, that is, an excitation signal source of the vector network analyzer generates an excitation signal with a specified frequency and power, the excitation signal is input to a measured piece, the frequency band of the measurement signal passing through the measured piece may be changed (a frequency conversion device) and may be maintained unchanged (a non-frequency conversion device), the signal enters a receiver of the vector network analyzer again, is mixed with a local oscillator signal to generate an intermediate frequency signal with a fixed frequency, and the intermediate frequency signal enters a digital intermediate frequency processing board of the vector network analyzer to be subjected to digital filtering processing, so as to obtain a final measurement result. The frequency of the if signal is fixed throughout the process, and even though the if signal path may vary depending on the setup of the pump band, what needs to be corrected overall is only the difference between the two paths at a certain fixed frequency.
The current vector network analyzer does not provide an effective passband in-band flatness calibration function of an intermediate frequency channel, and although the flatness of a full-band receiver including an intermediate frequency channel is calibrated by the conventional receiver calibration function, the receiver calibrates the frequency response characteristic of a fixed frequency point of the intermediate frequency channel, so that the calibration of the intermediate frequency channel is not needed. The invention provides an intermediate frequency calibration method based on a vector network analyzer, which utilizes the characteristics of correlation and mutual independence of an excitation source and a receiver of the vector network analyzer to control the flatness characteristic and the phase characteristic of an intermediate frequency channel and the consistency design between intermediate frequencies of different ports on the aspect of hardware design; in software design, the power and frequency settings of a signal source and a local oscillator of the vector network analyzer are controlled to enable the signal source and the local oscillator to generate intermediate frequency signals with different frequencies through frequency mixing, so that flatness calibration in an effective pass band of the intermediate frequency signals is achieved, and the intermediate frequencies of different ports and different channels are calibrated and corrected.
Disclosure of Invention
The invention provides an intermediate frequency calibration method based on a vector network analyzer, aiming at the problems in the prior art, and the method can realize flatness calibration in an effective passband of an intermediate frequency signal and calibrate and correct the intermediate frequency signal of different ports and different channels.
In order to achieve the purpose, the invention adopts the following technical scheme:
step 1: generating a frequency sweep intermediate frequency signal in a required bandwidth by using a frequency offset mode of a vector network analyzer;
step 2: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency so as to obtain correct amplitude-phase characteristics;
and step 3: taking the designated frequency point of the intermediate frequency port where the reference signal of the vector network analyzer is located as a reference, normalizing the reference port by the intermediate frequency ports where other intermediate frequency signals are located, and calculating to obtain an intermediate frequency calibration error item;
and 4, step 4: source power calibration and receiver calibration are required before intermediate frequency calibration, and the problem that source power accuracy errors and receiver linearity errors are accumulated in an intermediate frequency passband is avoided;
and 5: compensating the current intermediate frequency signal by using an intermediate frequency calibration error term;
step 6: and storing the calibration result of each channel into a file or firmware, and reading a medium-frequency calibration error item for correction during spectrum analysis.
Preferably, in step 1, the method specifically comprises the following steps:
step 1.1: resetting the vector network analyzer, setting a frequency sweeping mode, wherein the frequency span is larger than the effective passband range of the intermediate frequency signal to be calibrated;
step 1.2: performing source power calibration and receiver calibration for each port of the vector network analyzer;
step 1.3: and setting the vector network analyzer to be in a frequency deviation state, and setting the receiver to be in a dot frequency mode.
Preferably, in step 2, the method specifically comprises the following steps:
step 2.1: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency;
step 2.2: and carrying out digital down-conversion on the digital DDS signal and the intermediate frequency signal to generate two paths of I/Q signals, thereby obtaining the amplitude-phase characteristics under different intermediate frequency.
Preferably, in step 3, the method specifically comprises the following steps:
step 3.1: selecting one intermediate frequency in the amplitude-phase characteristic data result as a reference, and normalizing the reference intermediate frequency signal by other intermediate frequency signals;
step 3.2: the normalized result is stored as an error term for use while awaiting subsequent correction.
Preferably, in step 5, the method specifically comprises the following steps:
step 5.1: during the intermediate frequency correction, linear interpolation or cubic interpolation can be adopted to compensate the intermediate frequency signals processed by an absolute receiver such as a frequency spectrum function;
step 5.2: and correcting the compensated result by the receiver to obtain a correct test result of the frequency spectrum response of the tested piece.
Preferably, the hardware design of the intermediate frequency channel of the vector network analyzer is that an intermediate frequency signal is input from an intermediate frequency port, the intermediate frequency signal is amplified and subjected to direct current conditioning by using an amplifying device for linearly amplifying a full frequency band in a sampling bandwidth, and then enters the anti-aliasing filter 1 or the anti-aliasing filter 2 with a low-pass non-recursive characteristic, and then enters the analog-to-digital converter for digital processing after compensation and amplification.
Preferably, the intermediate frequency signal of one port has two anti-aliasing filters with different passband characteristics, the bandwidth of the anti-aliasing filter is 0.25-0.3 times of the sampling rate of the ADC, the passband attenuation is guaranteed within 3dB, and the out-of-band rejection is below 20 dB.
The invention has the following beneficial technical effects:
the invention utilizes the characteristics of the vector network analyzer that the excitation source and the receiver are related and mutually independent, can carry out calibration without external equipment, utilizes the prior source power and receiver calibration algorithm, can obtain more accurate intermediate frequency calibration results, references multi-port calibration data to a reference channel of a reference port, ensures the consistency of multi-port processing results, and adopts linear interpolation or cubic and other interpolation modes according to intermediate frequency information during correction so as to obtain better correction effect.
Drawings
FIG. 1 is a schematic diagram of a vector network analyzer intermediate frequency processing board channel in the method of the present invention;
FIG. 2 is a flow chart of a method for medium frequency calibration based on a vector network analyzer in the method of the present invention;
FIG. 3 is a schematic diagram of a correspondence relationship between a vector network port and an intermediate frequency port in the method of the present invention;
Detailed Description
The invention is described in further detail below with reference to the following figures and detailed description:
the hardware design flow of the intermediate frequency channel of the vector network analyzer is shown in fig. 1, and intermediate frequency calibration is performed on the basis of the design flow.
The specific process is that an intermediate frequency signal is input from an intermediate frequency port, amplified and subjected to direct current conditioning by an amplifying device for amplifying full-band linear amplification in a sampling bandwidth, enters an anti-aliasing filter 1 or an anti-aliasing filter 2 with low-pass FIR (non-recursive type) characteristics, and enters an ADC (analog-to-digital converter) for digital processing after compensation and amplification. The intermediate frequency signal of one port has two anti-aliasing filters with different passband characteristics, the bandwidth of the anti-aliasing filter is 0.25-0.3 times of the sampling rate of the ADC, passband attenuation is guaranteed to be within 3dB, and out-of-band rejection is below 20 dB. The devices and device states adopted by the whole intermediate frequency channel need to be set, so that the intermediate frequency signal only generates amplitude gain and linear time delay, and crosstalk and nonlinearity are avoided. The device, signal routing and layout among different intermediate frequency ports keep high consistency.
A method for calibrating an intermediate frequency based on a vector network analyzer, as shown in fig. 2, includes the following steps:
step 1: generating a frequency sweep intermediate frequency signal in a required bandwidth by using a frequency offset mode of a vector network analyzer;
step 1.1: resetting the vector network analyzer, setting a frequency sweeping mode, wherein the frequency span is larger than the effective passband range of the intermediate frequency signal to be calibrated;
step 1.2: performing source power rate calibration and receiver calibration for each port of the vector network analyzer;
specifically, as shown in fig. 3, for a 2-port vector network analyzer, the scanning frequency range is set to be 2.001GHz to 2.061GHz, and the port 1 and the port 2 are respectively connected to a power meter to perform source power calibration; to obtain more accurate measurement results, a smaller error line, such as 0.01dB, may be set during source power calibration; after calibration of each intermediate frequency port is completed, receiver calibration is performed to obtain receiver calibration data of A and R1, B and R2, respectively. If the calibration adopts the source power and the receiver calibration with mismatch, a more accurate calibration result can be obtained.
Taking a 2-port vector network analyzer as an example, a measurement signal a output by a port 1 of the vector network analyzer is finally received by an intermediate frequency port 1, and a reference signal R1 of the port 1 is received by an intermediate frequency port 3; the measurement signal B output by the vector network analyzer port 2 is received by the if port 2, and its reference signal R2 is received by the if port 4. Therefore, the intermediate frequency port 1 and the intermediate frequency port 3 can be calibrated at the same time during intermediate frequency calibration, and the intermediate frequency port 2 and the intermediate frequency port 4 can be calibrated at the same time. If there is one reference channel of the multi-port measurement channel, then all measurement channels are calibrated simultaneously with this reference channel.
Step 1.3: and setting the vector network analyzer to be in a frequency deviation state, and setting the receiver to be in a dot frequency mode.
Specifically, the 2-port vector network analyzer is modified into a frequency offset mode, a local oscillator is set to be in a dot-frequency non-coupling state, and the frequency is fLOThe signal source of the vector network analyzer is in a frequency sweep mode, and the frequency is from fLO+IF1～fLO+ IFn, IF1 and IFn are the pass band calibration range of the IF channel, which will produce an IF signal at IF 1-IFn. Note that this frequency range is consistent with the range at the time of source power calibration to obtain the best calibration results.
Step 2: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency so as to obtain correct amplitude-phase characteristics;
step 2.1: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency;
step 2.2: the digital DDS signal and the intermediate frequency signal are subjected to down-conversion to generate two paths of I/Q signals, so that the amplitude-phase characteristics under different intermediate frequency are obtained.
Specifically, digital intermediate frequency firmware is set according to the intermediate frequency signals to generate digital DDS signals with the same frequency, the digital DDS signals are mixed with signals with frequencies of IF 1-IFn to generate two paths of I/Q signals, and therefore all amplitude-phase characteristics in an effective passband of the IF 1-IFn signals are obtained.
And step 3: taking the designated frequency point of the intermediate frequency port where the reference signal of the vector network analyzer is located as a reference, normalizing the reference intermediate frequency signal by other intermediate frequency signals, and calculating to obtain an intermediate frequency calibration error item;
step 3.1: and selecting one intermediate frequency in the amplitude-phase characteristic data result as a reference, and normalizing the reference intermediate frequency signal by other intermediate frequency signals.
Specifically, hardware paths of different intermediate frequency ports of the vector network analyzer are different, so that path frequency responses of different ports are different, a reference signal of a port 1 of the 2-port vector network analyzer is R1, a reference signal of a port 2 is R2, and a measurement signal is normalized by taking the reference signal of the port of the network analyzer as a reference during calibration. And if the 7M intermediate frequency is selected as the reference, measuring the normalization value of the intermediate frequency signal to the 7M reference intermediate frequency signal, wherein the obtained result is the calibration result of the current intermediate frequency port and the current intermediate frequency channel.
Step 3.2: the normalized result is stored as an error term for use while awaiting subsequent correction.
And 4, step 4: source power calibration and receiver calibration are required before intermediate frequency calibration, and the problem that source power accuracy errors and receiver linearity errors are accumulated in an intermediate frequency passband is avoided;
and 5: compensating the current intermediate frequency signal by using an intermediate frequency calibration error term;
step 5.1: during the intermediate frequency correction, linear interpolation or cubic interpolation can be adopted to compensate the intermediate frequency signals processed by an absolute receiver such as a frequency spectrum function;
step 5.2: and correcting the compensated result by the receiver to obtain a correct test result of the frequency spectrum response of the tested piece.
Step 6: and storing the calibration result of each channel into a file or firmware, and reading a medium-frequency calibration error item for correction during spectrum analysis.
The above is a complete implementation process of the present embodiment.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.
Claims (6)
1. A medium frequency calibration method based on a vector network analyzer is characterized in that: the method comprises the following steps:
step 1: generating a frequency sweep intermediate frequency signal required in a bandwidth by using a frequency offset mode of a vector network analyzer;
step 2: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency so as to obtain correct amplitude-phase characteristics;
and step 3: taking the designated frequency point of the intermediate frequency port where the reference signal of the vector network analyzer is located as a reference, normalizing the reference port by the intermediate frequency ports where other intermediate frequency signals are located, and calculating to obtain an intermediate frequency calibration error item;
and 4, step 4: source power calibration and receiver calibration are required before intermediate frequency calibration, and the problem that source power accuracy errors and receiver linearity errors are accumulated in an intermediate frequency passband is avoided;
and 5: compensating the current intermediate frequency signal by using an intermediate frequency calibration error term;
step 6: and storing the calibration result of each channel into a file or firmware, and reading a medium-frequency calibration error item for correction during spectrum analysis.
2. The intermediate frequency calibration method based on the vector network analyzer as claimed in claim 1, wherein: in step 1, the method specifically comprises the following steps:
step 1.1: resetting the vector network analyzer, setting a frequency sweeping mode, wherein the frequency span is larger than the effective passband range of the intermediate frequency signal to be calibrated;
step 1.2: performing source power calibration and receiver calibration for each port of the vector network analyzer;
step 1.3: and setting the vector network analyzer to be in a frequency deviation state, and setting the receiver to be in a dot frequency mode.
3. The intermediate frequency calibration method based on the vector network analyzer as claimed in claim 1, wherein: in the step 2, the method specifically comprises the following steps:
step 2.1: setting digital intermediate frequency firmware according to the intermediate frequency signal to generate a digital DDS signal with the same frequency;
step 2.2: and carrying out digital down-conversion on the digital DDS signal and the intermediate frequency signal to generate two paths of I/Q signals, thereby obtaining the amplitude-phase characteristics under different intermediate frequency.
4. The intermediate frequency calibration method based on the vector network analyzer as claimed in claim 1, wherein: in step 3, the method specifically comprises the following steps:
step 3.1: selecting one intermediate frequency in the amplitude-phase characteristic data result as a reference, and normalizing the reference intermediate frequency signal by other intermediate frequency signals;
step 3.2: the normalized result is stored as an error term for use while awaiting subsequent correction.
5. The intermediate frequency calibration method based on the vector network analyzer as claimed in claim 1, wherein: in step 5, the method specifically comprises the following steps:
step 5.1: during the intermediate frequency correction, a linear interpolation or cubic interpolation mode can be adopted to compensate the intermediate frequency signal during the processing of the absolute receiver;
step 5.2: and correcting the compensated result by the receiver to obtain a correct test result of the frequency spectrum response of the tested piece.
6. The intermediate frequency calibration method based on the vector network analyzer as claimed in claim 1, wherein: the hardware design of the intermediate frequency channel of the vector network analyzer is that an intermediate frequency signal is input from an intermediate frequency port, amplified and subjected to direct current conditioning by using an amplifying device for amplifying full-band linear amplification in a sampling bandwidth, enters a low-pass non-recursive anti-aliasing filter 1 or an anti-aliasing filter 2, and enters an analog-to-digital converter for digital processing after compensation and amplification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010770038.2A CN112051532A (en) | 2020-08-04 | 2020-08-04 | Intermediate frequency calibration method based on vector network analyzer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010770038.2A CN112051532A (en) | 2020-08-04 | 2020-08-04 | Intermediate frequency calibration method based on vector network analyzer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112051532A true CN112051532A (en) | 2020-12-08 |
Family
ID=73602276
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010770038.2A Pending CN112051532A (en) | 2020-08-04 | 2020-08-04 | Intermediate frequency calibration method based on vector network analyzer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112051532A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115173963A (en) * | 2022-07-06 | 2022-10-11 | 成都中创锐科信息技术有限公司 | Vector signal calibration method and device for vector signal generation equipment |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098005A (en) * | 2010-12-13 | 2011-06-15 | 新邮通信设备有限公司 | Digital down converter and digital upconverter |
| CN102928854A (en) * | 2012-11-23 | 2013-02-13 | 江苏东大集成电路系统工程技术有限公司 | GPS capture unit design method based on matched filter |
| CN103138845A (en) * | 2011-11-22 | 2013-06-05 | 中国科学院电子学研究所 | Amplitude phase characteristic test method for down-conversion reception channel of ultra-wide band synthetic aperture radar (SAR) receiver |
| CN103399324A (en) * | 2013-08-13 | 2013-11-20 | 北京星地恒通信息科技有限公司 | Anti-interference antenna of satellite navigation |
| CN104237906A (en) * | 2013-06-14 | 2014-12-24 | 成都国星通信有限公司 | BPSK signal and BOC signal compatible capturing system and method |
| CN104301052A (en) * | 2014-10-20 | 2015-01-21 | 中国电子科技集团公司第四十一研究所 | Seamless collecting and real-time frequency spectrum monitoring implementation method based on FPGA |
| CN104777495A (en) * | 2015-04-09 | 2015-07-15 | 北京航空航天大学 | QPSK (quadrature phase shift keying) modulated I/Q branch orthogonality test method based on distribution histogram |
| CN106357300A (en) * | 2016-08-26 | 2017-01-25 | 成都九洲迪飞科技有限责任公司 | Method to resist interference of pulse of BPSK spread spectrum system |
| CN106375039A (en) * | 2016-08-17 | 2017-02-01 | 中国电子科技集团公司第四十研究所 | Method for improving dynamic range of receiver of vector network analyzer |
| CN107045148A (en) * | 2017-05-26 | 2017-08-15 | 无锡华测电子系统有限公司 | A kind of GPR |
| CN107884649A (en) * | 2017-11-13 | 2018-04-06 | 中国电子科技集团公司第四十研究所 | A kind of spuious spectrum analysis system and analysis method based on vector network analyzer |
| CN108631782A (en) * | 2018-05-11 | 2018-10-09 | 国蓉科技有限公司 | One kind being based on multi-channel high-speed ADC phase automatic correcting methods |
| CN109001663A (en) * | 2018-06-14 | 2018-12-14 | 中国电子科技集团公司第四十研究所 | The calibration system and method for high frequency attenuation is adjustable matrix insertion loss |
| CN109752705A (en) * | 2017-11-03 | 2019-05-14 | 中电科海洋信息技术研究院有限公司 | High-frequency water acoustic array performance parameter measurement method and system, equipment and storage medium |
| CN109884591A (en) * | 2019-02-25 | 2019-06-14 | 南京理工大学 | A kind of multi-rotor unmanned aerial vehicle acoustical signal Enhancement Method based on microphone array |
| CN110149157A (en) * | 2018-02-11 | 2019-08-20 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Array antenna wideband channel parallel calibration method |
| CN110266421A (en) * | 2019-06-20 | 2019-09-20 | 武汉能钠智能装备技术股份有限公司 | Multichannel synchronousing collection phase alignment system and method |
-
2020
- 2020-08-04 CN CN202010770038.2A patent/CN112051532A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098005A (en) * | 2010-12-13 | 2011-06-15 | 新邮通信设备有限公司 | Digital down converter and digital upconverter |
| CN103138845A (en) * | 2011-11-22 | 2013-06-05 | 中国科学院电子学研究所 | Amplitude phase characteristic test method for down-conversion reception channel of ultra-wide band synthetic aperture radar (SAR) receiver |
| CN102928854A (en) * | 2012-11-23 | 2013-02-13 | 江苏东大集成电路系统工程技术有限公司 | GPS capture unit design method based on matched filter |
| CN104237906A (en) * | 2013-06-14 | 2014-12-24 | 成都国星通信有限公司 | BPSK signal and BOC signal compatible capturing system and method |
| CN103399324A (en) * | 2013-08-13 | 2013-11-20 | 北京星地恒通信息科技有限公司 | Anti-interference antenna of satellite navigation |
| CN104301052A (en) * | 2014-10-20 | 2015-01-21 | 中国电子科技集团公司第四十一研究所 | Seamless collecting and real-time frequency spectrum monitoring implementation method based on FPGA |
| CN104777495A (en) * | 2015-04-09 | 2015-07-15 | 北京航空航天大学 | QPSK (quadrature phase shift keying) modulated I/Q branch orthogonality test method based on distribution histogram |
| CN106375039A (en) * | 2016-08-17 | 2017-02-01 | 中国电子科技集团公司第四十研究所 | Method for improving dynamic range of receiver of vector network analyzer |
| CN106357300A (en) * | 2016-08-26 | 2017-01-25 | 成都九洲迪飞科技有限责任公司 | Method to resist interference of pulse of BPSK spread spectrum system |
| CN107045148A (en) * | 2017-05-26 | 2017-08-15 | 无锡华测电子系统有限公司 | A kind of GPR |
| CN109752705A (en) * | 2017-11-03 | 2019-05-14 | 中电科海洋信息技术研究院有限公司 | High-frequency water acoustic array performance parameter measurement method and system, equipment and storage medium |
| CN107884649A (en) * | 2017-11-13 | 2018-04-06 | 中国电子科技集团公司第四十研究所 | A kind of spuious spectrum analysis system and analysis method based on vector network analyzer |
| CN110149157A (en) * | 2018-02-11 | 2019-08-20 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Array antenna wideband channel parallel calibration method |
| CN108631782A (en) * | 2018-05-11 | 2018-10-09 | 国蓉科技有限公司 | One kind being based on multi-channel high-speed ADC phase automatic correcting methods |
| CN109001663A (en) * | 2018-06-14 | 2018-12-14 | 中国电子科技集团公司第四十研究所 | The calibration system and method for high frequency attenuation is adjustable matrix insertion loss |
| CN109884591A (en) * | 2019-02-25 | 2019-06-14 | 南京理工大学 | A kind of multi-rotor unmanned aerial vehicle acoustical signal Enhancement Method based on microphone array |
| CN110266421A (en) * | 2019-06-20 | 2019-09-20 | 武汉能钠智能装备技术股份有限公司 | Multichannel synchronousing collection phase alignment system and method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115173963A (en) * | 2022-07-06 | 2022-10-11 | 成都中创锐科信息技术有限公司 | Vector signal calibration method and device for vector signal generation equipment |
| CN115173963B (en) * | 2022-07-06 | 2023-04-28 | 成都中创锐科信息技术有限公司 | Vector signal calibration method and device for vector signal generating equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8055226B2 (en) | Frequency response correction for a receiver having a frequency translation device | |
| US6211663B1 (en) | Baseband time-domain waveform measurement method | |
| US7266358B2 (en) | Method and system for noise reduction in measurement receivers using automatic noise subtraction | |
| JP3471121B2 (en) | Apparatus and method for determining single sideband noise figure from double sideband measurements | |
| KR101294771B1 (en) | Filter equalization using magnitude measurement data | |
| CN106886002B (en) | Calibration method of spectrum analyzer | |
| CN112737618A (en) | Temperature compensation method for radio frequency receiver | |
| US8358169B2 (en) | Systems and methods for distortion measurement using distortion-to-amplitude transformations | |
| CN110868261A (en) | OIP3 testing method of radio frequency power amplifier chip | |
| CN109270375B (en) | Circuit system and method for measuring phase noise of frequency discrimination type KIDs detector | |
| CN112051532A (en) | Intermediate frequency calibration method based on vector network analyzer | |
| CN114614844B (en) | Method and circuit for testing double-tone signal and radio frequency testing device | |
| CN114024628B (en) | S parameter test system, test method and calibration method | |
| KR101325658B1 (en) | Characterization of a frequency response for a frequency translation device | |
| CN108521309B (en) | System and method for testing frequency sweep intermodulation distortion | |
| CN113466774A (en) | System and method for realizing automatic calibration of frequency spectrograph power under condition of adapting to ADC linear characteristic | |
| CN108918966B (en) | Bottom noise cancellation method based on frequency spectrograph | |
| CN216013630U (en) | System for realizing automatic calibration of frequency spectrograph power under condition of adapting to ADC linear characteristic | |
| CN111999560B (en) | Calibration method of vector network analyzer based on impedance | |
| CN115242322B (en) | Method and system for calibrating broadband spectrum power flatness by comprehensive tester | |
| CN114499705B (en) | Frequency response flatness calibration method and device, electronic equipment and storage medium | |
| Shen et al. | Noise figure measurement of narrow-band low noise system | |
| CN115242322A (en) | Method and system for calibrating broadband spectrum power flatness by comprehensive tester | |
| KR100438543B1 (en) | Apparatus for measuring transmission power in code division multiple access communication | |
| CN117269652A (en) | Radio frequency automatic testing machine and noise coefficient measuring method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201208 |
|
| RJ01 | Rejection of invention patent application after publication |