CN115134904B - Signal processing method, signal processing device, electronic equipment and computer readable storage medium - Google Patents
Signal processing method, signal processing device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a signal processing method, a signal processing device, electronic equipment and a computer readable storage medium. Wherein the method comprises the following steps: acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with frequency as a reference frequency; acquiring a difference signal based on the first pulse signal and the second pulse signal; inputting the difference signal into a first-order low-pass filter, and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal; and determining the target signal according to the high-frequency signal and the low-frequency signal. The invention solves the technical problem of inaccurate frequency calibration in the related art when the frequency is calibrated.
Description
Technical Field
The present invention relates to the field of signals, and in particular, to a signal processing method, apparatus, electronic device, and computer readable storage medium.
Background
Compared with a 4G system, the 5G system has higher precision of synchronization requirement, and the 5G system has the basic service synchronization requirement of us magnitude, the cooperative enhancement technology synchronization requirement of 100ns magnitude and the higher precision synchronization requirement of new service. Meanwhile, the requirement on time accuracy is higher, and when the time accuracy is regulated through the frequency, the requirement on the frequency accuracy is higher. In the related art, when calibrating the frequency, the problem of inaccurate frequency calibration still exists.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a signal processing method, a signal processing device, electronic equipment and a computer readable storage medium, which are used for at least solving the technical problem of inaccurate frequency calibration when the frequency is calibrated in the related technology.
According to an aspect of an embodiment of the present invention, there is provided a signal processing method including: acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with the frequency as a reference frequency; acquiring a difference signal based on the first pulse signal and the second pulse signal; inputting the difference signal into a first-order low-pass filter, and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal; and determining a target signal according to the high-frequency signal and the low-frequency signal.
Optionally, the determining the target signal according to the high frequency signal and the low frequency signal includes: the high-frequency signal is input to a third-order low-pass elliptic filter, and a temperature influence signal caused by environmental temperature change is filtered; the low-frequency signal is input into a second first-order low-pass filter, and an aging influence signal caused by device aging is filtered; and obtaining the target signal according to the aging influence signal and the temperature influence signal.
Optionally, the obtaining the target signal according to the aging influence signal and the temperature influence signal includes: inputting the aging influence signals into a Kalman aging prediction model to obtain target low-frequency signals; inputting the temperature influence signal into a Kalman temperature prediction model to obtain a target frequency signal; and obtaining the target signal according to the target low-frequency signal and the target high-frequency signal.
Optionally, the acquiring a difference signal based on the first pulse signal and the second pulse signal includes: determining a signal receiving state of the second pulse signal; predicting a third pulse signal when the signal receiving state of the second pulse signal is a receiving failure; and acquiring the difference signal based on the first pulse signal and the third pulse signal.
Optionally, after the determining the target signal according to the high frequency signal and the low frequency signal, the method further includes: and adjusting the first pulse signal according to the target signal to obtain a fourth pulse signal.
Optionally, after the adjusting the second pulse signal according to the target signal to obtain a fourth pulse signal, the method further includes: determining a frequency difference between the fourth pulse signal and the second pulse signal; and under the condition that the frequency difference value is larger than a preset threshold value, readjusting the first pulse signal until the frequency difference value between the pulse signal obtained after the first pulse signal is adjusted and the second pulse signal is smaller than or equal to the preset threshold value.
Optionally, the second pulse signal is a pulse signal sent by the received 5G base station.
According to an aspect of an embodiment of the present invention, there is provided a signal processing apparatus including: the first acquisition module is used for acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with the frequency being the reference frequency; the second acquisition module is used for acquiring a difference signal based on the first pulse signal and the second pulse signal; the filtering module is used for inputting the difference signal into a first-order low-pass filter and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal; and the determining module is used for determining a target signal according to the high-frequency signal and the low-frequency signal.
According to an aspect of an embodiment of the present invention, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the signal processing method of any of the above.
According to an aspect of an embodiment of the present invention, there is provided a computer-readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform any one of the signal processing methods described above.
In the embodiment of the invention, a first pulse signal and a second pulse signal are acquired, wherein the second pulse signal is a pulse signal with frequency as a reference frequency, the first pulse signal is a pulse signal which needs to be calibrated, namely, the pulse signal with actual frequency in the device, a difference signal is acquired based on the first pulse signal and the second pulse signal, the difference signal is input into a first-order low-pass filter, a high-frequency signal and a low-frequency signal are filtered, the high-frequency signal is a high-frequency signal in the difference signal, the low-frequency signal is a low-frequency signal in the difference signal, and a target signal is determined according to the high-frequency signal and the low-frequency signal. Because the target signal is obtained according to the high-frequency signal and the low-frequency signal, the different influences of the high-frequency signal and the low-frequency signal are considered. The high-frequency signal and the low-frequency signal are obtained by the pulse signal of the reference frequency and the pulse signal of the actual frequency, so that the obtained target signal is effective and reasonable, and the technical problem of inaccurate frequency calibration in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
Fig. 1 is a flowchart of a signal processing method according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of a method provided by an alternative embodiment of the present invention;
fig. 3 is a block diagram of a signal processing apparatus according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to an embodiment of the present invention, there is provided an embodiment of a signal processing method, it should be noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that herein.
Fig. 1 is a flowchart of a signal processing method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
Step S102, a first pulse signal and a second pulse signal are obtained, wherein the second pulse signal is a pulse signal with the frequency being a reference frequency;
Step S104, obtaining a difference signal based on the first pulse signal and the second pulse signal;
step S106, inputting the difference signal into a first-order low-pass filter, filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal;
Step S108, determining a target signal according to the high frequency signal and the low frequency signal.
Through the steps, a first pulse signal and a second pulse signal are obtained, wherein the second pulse signal is a pulse signal with the frequency being a reference frequency, the first pulse signal is a pulse signal which needs to be calibrated, namely, the pulse signal with the actual frequency in the device, a difference signal is obtained based on the first pulse signal and the second pulse signal, the difference signal is input into a first-order low-pass filter, a high-frequency signal and a low-frequency signal are filtered out, the high-frequency signal is a high-frequency signal in the difference signal, the low-frequency signal is a low-frequency signal in the difference signal, and a target signal is determined according to the high-frequency signal and the low-frequency signal. Because the target signal is obtained according to the high-frequency signal and the low-frequency signal, the different influences of the high-frequency signal and the low-frequency signal are considered. The high-frequency signal and the low-frequency signal are obtained by the pulse signal of the reference frequency and the pulse signal of the actual frequency, so that the obtained target signal is effective and reasonable, and the technical problem of inaccurate frequency calibration in the related technology is solved.
As an alternative embodiment, a first pulse signal and a second pulse signal are acquired, where the second pulse signal is a pulse signal with a frequency being a reference frequency, and the second pulse signal may be a received pulse signal sent by a 5G base station. The signals received by the 5G base station are signals which are received by satellites, sent to a server, and then sent to a convergence layer and then to the 5G base station by the server. The first pulse signal is a signal with the actual frequency in the device. Because the accuracy level of the satellite signal is higher, the target signal acquired from the second pulse signal and the first pulse signal can achieve a higher level of accuracy.
As an alternative embodiment, based on the first pulse signal and the second pulse signal, a difference signal is obtained, the difference signal is input into a first-order low-pass filter, and a high-frequency signal and a low-frequency signal are filtered out, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal. Because the high-frequency signal and the low-frequency signal are signals affected by different conditions, the high-frequency signal and the low-frequency signal are filtered out of the difference signal through the first-order low-pass filter, and the signals affected by different conditions can be better processed. The processing of the signals is targeted and more organized.
As an alternative embodiment, when determining the target signal according to the high-frequency signal and the low-frequency signal, the high-frequency signal and the low-frequency signal may be further processed as follows, so that the target signal may be determined more accurately, that is, the high-frequency signal may be input to a third-order low-pass elliptic filter, the temperature influence signal caused by the environmental temperature change may be filtered out, the low-frequency signal may be input to a second first-order low-pass filter, and the aging influence signal caused by the aging of the device may be filtered out. I.e. different types and bandwidths of digital filters are used to achieve different types of separation of the influencing signals. Thereby obtaining the target signal according to the aging influence signal and the temperature influence signal.
As an alternative embodiment, when the target signal is obtained according to the aging influence signal and the temperature influence signal, different influences can be further accurately analyzed by means of a kalman model, and corresponding target signals are obtained for processing, for example: and (3) inputting the aging influence signal into a Kalman aging prediction model to obtain a target low-frequency signal, inputting the temperature influence signal into the Kalman temperature prediction model to obtain a target high-frequency signal, and obtaining the target signal according to the target low-frequency signal and the target high-frequency signal. In general, the kalman aging prediction model is nonlinear, and the kalman temperature prediction model is linear, so that corresponding influence signals are processed by adopting a corresponding model, and the acquired target signals can be more accurate.
As an alternative embodiment, when the difference signal is obtained based on the first pulse signal and the second pulse signal, a case where the second pulse signal fails to be received is also included, and in this case, the following processing may be performed: that is, the signal receiving state of the second pulse signal is determined first, and when the signal receiving state of the second pulse signal is a reception failure, the third pulse signal is predicted, and the difference signal is obtained based on the first pulse signal and the third pulse signal. The third pulse signal can be predicted according to the historical second pulse signal. Therefore, the difference signal is obtained, so that frequency correction can be realized under the condition that the second pulse signal fails to be received, and various practical problems caused by the fact that the time appearing under the condition that the second pulse signal fails to be received cannot be corrected are avoided.
As an alternative embodiment, after determining the target signal according to the high frequency signal and the low frequency signal, the method further includes: and adjusting the first pulse signal according to the target signal to obtain a fourth pulse signal. Namely, the first pulse signal with the actual frequency is adjusted to the fourth pulse signal, and the frequency of the first pulse signal is accurately adjusted. After the adjustment, a frequency difference between the fourth pulse signal and the second pulse signal may also be determined. And determining whether the fourth pulse signal after adjustment is reasonable or not according to the frequency difference value, and readjusting the first pulse signal under the condition that the frequency difference value is larger than a preset threshold value until the frequency difference value between the pulse signal obtained after adjustment of the first pulse signal and the second pulse signal is smaller than or equal to the preset threshold value. So that the pulse signal after adjustment is reasonably efficient.
Based on the foregoing embodiments and optional embodiments, an optional implementation is provided, and is specifically described below.
The invention provides a signal frequency calibration method in an alternative embodiment, which can calibrate the actual frequency according to the reference frequency, improve the frequency accuracy, further improve the time accuracy and better meet the requirements of different scenes and actual situations. FIG. 2 is a schematic diagram of a method provided by an alternative embodiment of the present invention, as shown in FIG. 2, and described in detail below:
As shown in fig. 2, there are three switches in fig. 2, switch 1, switch 2, and switch 3. The switch 1, the switch 2 and the switch 3 are all in an on state when active (namely, the signal receiving state is the receiving success), and the three switches are all closed when the source is lost (namely, the signal receiving state is the receiving failure), so that the Kalman aging prediction model and the Kalman temperature prediction model can realize the prediction of frequency deviation according to the prediction result and by taking the output of the model as the input of observed quantity.
To achieve retention after source loss, the effects of aging and temperature changes are first separated. It should be noted that the aging effect belongs to slow change, the temperature effect is relatively fast, in the frequency domain, the aging effect is in a low frequency band, and the temperature effect is in a higher frequency band, and the separation of the aging effect and the temperature effect can be realized by adopting digital filters with different types and bandwidths.
The filter 1, the filter 3 is a low-pass filter of 1 order, and the filter 2 is a low-pass elliptic filter of 3 order. The filter 1 is used to filter out the high band portion caused by temperature changes and the low band portion caused by aging in the difference signal. The filter 2 is arranged to separate the aged effect signal from the signal filtered by the filter 1, the bandwidth of which is determined by the low frequency components reflecting the ageing. The output of the filter 2 is directly given to the kalman aging prediction model. The filter 3 has exactly the same design as the filter 1, and is used for separating out the influence signal of the temperature change and outputting the influence signal to the Kalman temperature prediction model. Meanwhile, the filter can also be used for further suppressing noise introduced by a tracking source and eliminating burrs caused by subtraction of input and output signals of the filter.
It should be noted that the kalman aging model is nonlinear, and the kalman temperature model may be considered as linear, and parameters of the two models are estimated to obtain a target signal, so as to implement prediction correction of the signal in the device according to the target signal.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus for implementing the above signal processing method, and fig. 3 is a block diagram of a signal processing apparatus according to an embodiment of the present invention, as shown in fig. 3, including: the first acquisition module 302, the second acquisition module 304, the filtering module 306, and the determination module 308 are described in detail below.
A first obtaining module 302, configured to obtain a first pulse signal and a second pulse signal, where the second pulse signal is a pulse signal with a frequency being a reference frequency; the second obtaining module 304 is connected to the first obtaining module 302, and is configured to obtain a difference signal based on the first pulse signal and the second pulse signal; the filtering module 306 is connected to the second obtaining module 304, and is configured to input the difference signal into a first-order low-pass filter, and filter out a high-frequency signal and a low-frequency signal, where the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal; the determining module 308, coupled to the filtering module 306, is configured to determine a target signal according to the high frequency signal and the low frequency signal.
It should be noted that the first acquiring module 302, the second acquiring module 304, the filtering module 306 and the determining module 308 correspond to steps S102 to S108 in the implementation of the signal processing method, and the plurality of modules are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to those disclosed in the foregoing embodiment 1.
Example 3
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including: a processor; a memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement the signal processing method of any of the above.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the signal processing method of any one of the above.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (6)
1. A signal processing method, comprising:
Acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with the frequency as a reference frequency, and the first pulse signal is a pulse signal which needs to be calibrated;
acquiring a difference signal based on the first pulse signal and the second pulse signal;
inputting the difference signal into a first-order low-pass filter, and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal;
Determining a target signal according to the high-frequency signal and the low-frequency signal;
wherein determining the target signal according to the high frequency signal and the low frequency signal comprises:
inputting the high-frequency signal into a third-order low-pass elliptic filter, and filtering out a temperature influence signal caused by environmental temperature change;
Inputting the low-frequency signal into a second first-order low-pass filter, and filtering out an aging influence signal caused by device aging;
Obtaining the target signal according to the aging influence signal and the temperature influence signal;
the second pulse signal is a pulse signal sent by the received 5G base station;
according to the target signal, adjusting the first pulse signal to obtain a fourth pulse signal;
Wherein the obtaining the target signal according to the aging-affecting signal and the temperature-affecting signal includes:
inputting the aging influence signals into a Kalman aging prediction model to obtain target low-frequency signals;
inputting the temperature influence signal into a Kalman temperature prediction model to obtain a target frequency signal;
And obtaining the target signal according to the target low-frequency signal and the target high-frequency signal.
2. The method of claim 1, wherein the obtaining a difference signal based on the first pulse signal and the second pulse signal comprises:
determining a signal receiving state of the second pulse signal;
Under the condition that the signal receiving state of the second pulse signal is failure in receiving, predicting a third pulse signal according to the historical second pulse signal;
and acquiring the difference signal based on the first pulse signal and the third pulse signal.
3. The method of claim 1, further comprising, after said adjusting said first pulse signal in accordance with said target signal to obtain a fourth pulse signal:
Determining a frequency difference between the fourth pulse signal and the second pulse signal;
and under the condition that the frequency difference value is larger than a preset threshold value, readjusting the first pulse signal until the frequency difference value between the pulse signal obtained after the first pulse signal is adjusted and the second pulse signal is smaller than or equal to the preset threshold value.
4. A signal processing apparatus, comprising:
The first acquisition module is used for acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with the frequency being the reference frequency, and the first pulse signal is a pulse signal which needs to be calibrated;
The second acquisition module is used for acquiring a difference signal based on the first pulse signal and the second pulse signal;
the filtering module is used for inputting the difference signal into a first-order low-pass filter and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency signal in the difference signal, and the low-frequency signal is a low-frequency signal in the difference signal;
The determining module is used for determining a target signal according to the high-frequency signal and the low-frequency signal;
the determining module is further used for inputting the high-frequency signal into a third-order low-pass elliptic filter and filtering out a temperature influence signal caused by environmental temperature change; inputting the low-frequency signal into a second first-order low-pass filter, and filtering out an aging influence signal caused by device aging; obtaining the target signal according to the aging influence signal and the temperature influence signal;
the second pulse signal is a pulse signal sent by the received 5G base station;
the determining module is further configured to adjust the first pulse signal according to the target signal to obtain a fourth pulse signal;
The determining module is further configured to input the aging influence signal into a kalman aging prediction model to obtain a target low-frequency signal; inputting the temperature influence signal into a Kalman temperature prediction model to obtain a target frequency signal; and obtaining the target signal according to the target low-frequency signal and the target high-frequency signal.
5. An electronic device, comprising:
A processor;
a memory for storing the processor-executable instructions;
Wherein the processor is configured to execute the instructions to implement the signal processing method of any one of claims 1 to 3.
6. A computer readable storage medium, characterized in that instructions in the computer readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the signal processing method of any one of claims 1 to 3.
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| CN114584136A (en) * | 2022-02-28 | 2022-06-03 | 中国电力科学研究院有限公司 | GNSS-based high-stability crystal oscillator taming and maintaining system and method |
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| WO2000059170A1 (en) * | 1999-03-30 | 2000-10-05 | Nexus Telocation Systems, Ltd. | Phase modulation technique for pulsed frequency shift keying circuits |
| CN106936425A (en) * | 2015-12-29 | 2017-07-07 | 普天信息技术有限公司 | Clock frequency keeping method and device |
| CN109800454A (en) * | 2018-12-13 | 2019-05-24 | 武汉工程大学 | A kind of coal bed gas acquisition method, system and storage medium based on Kalman filtering |
| CN111416617A (en) * | 2020-03-18 | 2020-07-14 | 广州土圭垚信息科技有限公司 | Clock synchronization method and device and electronic equipment |
| CN114584136A (en) * | 2022-02-28 | 2022-06-03 | 中国电力科学研究院有限公司 | GNSS-based high-stability crystal oscillator taming and maintaining system and method |
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