CN115134904A - 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 PDF

Info

Publication number
CN115134904A
CN115134904A CN202210738304.2A CN202210738304A CN115134904A CN 115134904 A CN115134904 A CN 115134904A CN 202210738304 A CN202210738304 A CN 202210738304A CN 115134904 A CN115134904 A CN 115134904A
Authority
CN
China
Prior art keywords
signal
frequency
pulse signal
low
pulse
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.)
Granted
Application number
CN202210738304.2A
Other languages
Chinese (zh)
Other versions
CN115134904B (en
Inventor
张文飞
李国栋
马国雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Qinghai Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Qinghai Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Qinghai Electric Power Co Ltd
Information and Telecommunication Branch of State Grid Qinghai Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Qinghai Electric Power Co Ltd, Information and Telecommunication Branch of State Grid Qinghai Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202210738304.2A priority Critical patent/CN115134904B/en
Publication of CN115134904A publication Critical patent/CN115134904A/en
Application granted granted Critical
Publication of CN115134904B publication Critical patent/CN115134904B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W56/00Synchronisation arrangements
    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03LAUTOMATIC CONTROL, STARTING, SYNCHRONISATION OR STABILISATION OF GENERATORS OF ELECTRONIC OSCILLATIONS OR PULSES
    • H03L7/00Automatic control of frequency or phase; Synchronisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Manipulation Of Pulses (AREA)
  • Radar Systems Or Details Thereof (AREA)

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 a 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 one-step low-pass filter, and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency-band signal in the difference signal, and the low-frequency signal is a low-frequency-band signal in the difference signal; and determining a 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

Signal processing method, signal processing device, electronic equipment and computer readable storage medium
Technical Field
The present invention relates to the field of signals, and in particular, to a signal processing method, an apparatus, an electronic device, and a computer-readable storage medium.
Background
Compared with a 4G system, the 5G system has higher synchronization requirement precision, the 5G system has the synchronization requirement of us-magnitude basic service, the synchronization requirement of 100 ns-magnitude cooperative enhancement technology and the higher precision synchronization requirement of new service. Meanwhile, the requirement on the time accuracy is higher, and when the time accuracy is adjusted through the frequency, the requirement on the frequency accuracy is higher. When the frequency is calibrated in the related art, the problem of inaccurate frequency calibration still exists.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
Embodiments of the present invention provide a signal processing method, a signal processing apparatus, an electronic device, and a computer-readable storage medium, so as to at least solve the technical problem of inaccurate frequency calibration when calibrating a frequency in the related art.
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 a 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-band signal in the difference signal, and the low-frequency signal is a low-frequency-band signal in the difference signal; and determining a target signal according to the high-frequency signal and the low-frequency signal.
Optionally, the determining a 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 the change of the environmental temperature is filtered out; inputting the low-frequency signal into a second-order low-pass filter, and filtering out an aging influence signal caused by device aging; 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 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 high-frequency signal; and obtaining the target signal according to the target low-frequency signal and the target high-frequency signal.
Optionally, the obtaining 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 reception failure; and acquiring the difference signal based on the first pulse signal and the third pulse signal.
Optionally, after determining a 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 to obtain a fourth pulse signal according to the target signal, the method further includes: determining a frequency difference value of 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 received pulse signal sent by the 5G base station.
According to an aspect of an embodiment of the present invention, there is provided a signal processing apparatus including: the device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring a first pulse signal and a second pulse signal, and the second pulse signal is a pulse signal with a frequency as a reference frequency; a second obtaining module, configured to obtain 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 one-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 band signal in the difference signal, and the low-frequency signal is a low-frequency band 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 any of the signal processing methods described above.
According to an aspect of embodiments of the present invention, there is provided a computer-readable storage medium, in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform any one of the signal processing methods described above.
In the embodiment of the present invention, a first pulse signal and a second pulse signal are obtained, where the second pulse signal is a pulse signal with a frequency as a reference frequency, the first pulse signal is a pulse signal that needs to be calibrated, that is, a pulse signal with an 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 to a first one-step low-pass filter, a high-frequency signal and a low-frequency signal are filtered out, where the high-frequency signal is a high-frequency band signal in the difference signal, the low-frequency signal is a low-frequency band 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 influence of the difference between the high-frequency signal and the low-frequency signal is considered. And 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 when the frequency is calibrated is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
fig. 1 is a flow chart 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 to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, 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
In accordance with an embodiment of the present invention, there is provided an embodiment of a signal processing method, it should be noted that the steps illustrated in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be executed in an order different than 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, acquiring a first pulse signal and a second pulse signal, wherein the second pulse signal is a pulse signal with a frequency as a reference frequency;
step S104, acquiring a difference signal based on the first pulse signal and the second pulse signal;
step S106, inputting the difference signal into a first one-step low-pass filter, and filtering out a high-frequency signal and a low-frequency signal, wherein the high-frequency signal is a high-frequency band signal in the difference signal, and the low-frequency signal is a low-frequency band 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 as the reference frequency, the first pulse signal is a pulse signal needing to be calibrated, namely a 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 one-step low-pass filter, a high-frequency signal and a low-frequency signal are filtered out, the high-frequency signal is a high-frequency band signal in the difference signal, the low-frequency signal is a low-frequency band 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 from the high-frequency signal and the low-frequency signal, the influence of the difference between the high-frequency signal and the low-frequency signal is considered. And 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 when the frequency is calibrated is solved.
As an alternative embodiment, a first pulse signal and a second pulse signal are obtained, where the second pulse signal is a pulse signal with a frequency as 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 a satellite, the satellite signals are sent to a server, and the server issues the signals to a convergence layer and then issues the signals to the 5G base station. The first pulse signal is a signal with an actual frequency in the device. Since the accuracy level of the satellite signal is high, the target signal acquired from the second pulse signal and the first pulse signal can achieve a higher level of accuracy.
As an optional embodiment, a difference signal is obtained based on the first pulse signal and the second pulse signal, the difference signal is input to the first-order low-pass filter, and the high-frequency signal and the low-frequency signal are filtered out, where the high-frequency signal is a high-frequency band signal in the difference signal, and the low-frequency signal is a low-frequency band signal in the difference signal. Because the high-frequency signal and the low-frequency signal are signals influenced by different conditions, the high-frequency signal and the low-frequency signal are filtered out from the difference signal through the first-order low-pass filter, and the signals influenced by different conditions can be better processed. The processing of the signals is pointed and more orderly.
As an optional 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 as to determine the target signal more accurately, that is, the high-frequency signal may be input to a third-order low-pass elliptic filter, a temperature-affected signal caused by a change in ambient temperature is filtered out, the low-frequency signal is input to a second-order low-pass filter, and an aging-affected signal caused by aging of the apparatus is filtered out. I.e. different types and bandwidths of digital filters are used to achieve the separation of the different types of influencing signals. And obtaining a target signal according to the aging influence signal and the temperature influence signal.
As an optional embodiment, when the target signal is obtained according to the aging influence signal and the temperature influence signal, the kalman model may be used to further accurately analyze different influences and obtain a corresponding target signal for processing, for example: inputting 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 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 the corresponding influence signal is processed by using the corresponding model, and the acquired target signal can be more accurate.
As an alternative embodiment, when obtaining the difference signal based on the first pulse signal and the second pulse signal, the case that the second pulse signal fails to be received is also included, in this case, the following processing may be performed: that is, the signal receiving state of the second pulse signal is determined, and when the signal receiving state of the second pulse signal is reception failure, the third pulse signal is predicted, and the difference signal is acquired based on the first pulse signal and the third pulse signal. That is, the third pulse signal can be predicted from the historical second pulse signal. Therefore, the difference signal is obtained, frequency correction can be achieved under the condition that the second pulse signal is failed to receive, and various practical problems caused by incapability of correcting time under the condition that the second pulse signal is failed to receive 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 of 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, and re-adjusting the first pulse signal under the condition that the frequency difference is greater than a preset threshold value until the frequency difference between the pulse signal obtained after the adjustment of the first pulse signal and the second pulse signal is less than or equal to the preset threshold value. So that the pulse signal after adjustment is reasonably effective.
Based on the above embodiments and alternative embodiments, an alternative implementation is provided, which is described in detail below.
The invention provides a signal frequency calibration method in an optional embodiment, which can calibrate an actual frequency according to a reference frequency, improve the precision of the frequency, further improve the precision of time, and better meet the requirements of different scenes and the actual requirements. FIG. 2 is a schematic diagram of a method provided by an alternative embodiment of the present invention, which is described in detail below with reference to FIG. 2:
as shown in fig. 2, there are three switches in fig. 2, switch 1, switch 2, switch 3. The switches 1, 2 and 3 are all in an open state when active (namely, when the signal receiving state is successful in receiving), and the three switches are all closed when the source is lost (namely, when the signal receiving state is failed in receiving), 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 Kalman aging prediction model and the Kalman temperature prediction model as the input of the observed quantity.
To achieve retention after source loss, the effects of aging and temperature changes are separated. It should be noted that the aging effect is slow and the temperature effect is relatively fast, and in the frequency domain, the aging effect is in the low frequency band and the temperature effect is in the higher frequency band, and the separation can be realized by adopting digital filters of different types and bandwidths.
Filter 1, filter 3 are low pass filters of order 1 and filter 2 is a low pass elliptic filter of order 3. The filter 1 is used to filter out the high frequency band part caused by temperature change and the low frequency band part caused by aging in the difference signal. The filter 2 is arranged to separate the aging-affecting signal from the signal filtered by the filter 1, whose bandwidth is determined by the low-frequency components reflecting the aging. The output of the filter 2 is directly given to the kalman aging prediction model. The filter 3 is designed completely the same as the filter 1, and is used for separating out an influence signal of temperature change and outputting the influence signal to the Kalman temperature prediction model. Meanwhile, the filter can 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 further noted that the kalman aging model is nonlinear, and the kalman temperature model can be regarded as linear, and parameters of the two models are estimated to obtain a target signal, so as to implement prediction and correction of the signal in the device according to the target signal.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided an apparatus for implementing the signal processing method, and fig. 3 is a block diagram of a structure of the signal processing apparatus according to the embodiment of the present invention, as shown in fig. 3, the apparatus includes: a first acquisition module 302, a second acquisition module 304, a filtering module 306, and a determination module 308, which 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 as a reference frequency; a second obtaining module 304, connected to the first obtaining module 302, for obtaining a difference signal based on the first pulse signal and the second pulse signal; a filtering module 306, connected to the second obtaining module 304, 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 band signal in the difference signal, and the low-frequency signal is a low-frequency band signal in the difference signal; the determining module 308 is connected to the filtering module 306, and is configured to determine the target signal according to the high frequency signal and the low frequency signal.
It should be noted here that the first obtaining module 302, the second obtaining module 304, the filtering module 306 and the determining module 308 correspond to the implementation of steps S102 to S108 in the signal processing method, and a plurality of modules are the same as the implementation examples and application scenarios of the corresponding steps, but are not limited to what is disclosed in the foregoing embodiment 1.
Example 3
According to another aspect of the embodiments 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, where instructions of the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform any one of the signal processing methods described above.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
In the above embodiments of the present invention, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described in detail in a certain embodiment.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
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 position, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and amendments can be made without departing from the principle of the present invention, and these modifications and amendments should also be considered as the protection scope of the present invention.

Claims (10)

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 a 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-band signal in the difference signal, and the low-frequency signal is a low-frequency-band signal in the difference signal;
and determining a target signal according to the high-frequency signal and the low-frequency signal.
2. The method of claim 1, wherein determining a target signal based on the high frequency signal and the low frequency signal comprises:
the high-frequency signal is input into a third-order low-pass elliptic filter, and a temperature influence signal caused by the change of the environmental temperature is filtered out;
inputting the low-frequency signal into a second-order low-pass filter, and filtering out an aging influence signal caused by device aging;
and obtaining the target signal according to the aging influence signal and the temperature influence signal.
3. The method of claim 2, wherein said deriving the target signal from the aging effect signal and the temperature effect signal comprises:
inputting 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 high-frequency signal;
and obtaining the target signal according to the target low-frequency signal and the target high-frequency signal.
4. The method of claim 1, wherein 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;
predicting a third pulse signal when the signal receiving state of the second pulse signal is reception failure;
and acquiring the difference signal based on the first pulse signal and the third pulse signal.
5. The method of claim 1, further comprising, after said determining a target signal based on said high frequency signal and said low frequency signal:
and adjusting the first pulse signal according to the target signal to obtain a fourth pulse signal.
6. The method of claim 5, further comprising, after said adjusting the second pulse signal to obtain a fourth pulse signal according to the target signal:
determining a frequency difference value of the fourth pulse signal and the second pulse signal;
and under the condition that the frequency difference is larger than a preset threshold value, readjusting the first pulse signal until the frequency difference 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.
7. The method according to any one of claims 1 to 6, wherein the second pulse signal is a received pulse signal transmitted by a 5G base station.
8. A signal processing apparatus, characterized by comprising:
the device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring a first pulse signal and a second pulse signal, and the second pulse signal is a pulse signal with a frequency as a reference frequency;
a second obtaining module, configured to obtain 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 one-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 band signal in the difference signal, and the low-frequency signal is a low-frequency band 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.
9. 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 7.
10. A computer-readable storage medium, wherein 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 7.
CN202210738304.2A 2022-06-27 2022-06-27 Signal processing method, signal processing device, electronic equipment and computer readable storage medium Active CN115134904B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210738304.2A CN115134904B (en) 2022-06-27 2022-06-27 Signal processing method, signal processing device, electronic equipment and computer readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210738304.2A CN115134904B (en) 2022-06-27 2022-06-27 Signal processing method, signal processing device, electronic equipment and computer readable storage medium

Publications (2)

Publication Number Publication Date
CN115134904A true CN115134904A (en) 2022-09-30
CN115134904B CN115134904B (en) 2024-04-26

Family

ID=83380522

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210738304.2A Active CN115134904B (en) 2022-06-27 2022-06-27 Signal processing method, signal processing device, electronic equipment and computer readable storage medium

Country Status (1)

Country Link
CN (1) CN115134904B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000059170A1 (en) * 1999-03-30 2000-10-05 Nexus Telocation Systems, Ltd. Phase modulation technique for pulsed frequency shift keying circuits
US20160259032A1 (en) * 2015-03-07 2016-09-08 Verity Studios Ag Distributed localization systems and methods and self-localizing apparatus
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000059170A1 (en) * 1999-03-30 2000-10-05 Nexus Telocation Systems, Ltd. Phase modulation technique for pulsed frequency shift keying circuits
US20160259032A1 (en) * 2015-03-07 2016-09-08 Verity Studios Ag Distributed localization systems and methods and self-localizing apparatus
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

Also Published As

Publication number Publication date
CN115134904B (en) 2024-04-26

Similar Documents

Publication Publication Date Title
CN112004263B (en) Group delay fluctuation calibration method and device
US8081936B2 (en) Method for tuning a digital compensation filter within a transmitter, and associated digital compensation filter and associated calibration circuit
CN108011615B (en) Signal processing method and device
EP2506429B1 (en) Method for performing dynamic impedance matching and a communication apparatus thereof
US20190140626A1 (en) Tuning of Filters
CN115134904B (en) Signal processing method, signal processing device, electronic equipment and computer readable storage medium
CN105550689A (en) Information processing method, first electronic equipment and second electronic equipment
CN113588132B (en) Temperature processing method and device
CN112054885A (en) Method and device for determining calibration information
CN115016989A (en) Method and device for determining target trimming parameters
CN104467701B (en) A kind of voltage correction method and electric terminal of power amplifier
CN116980065A (en) Clock calibration method, clock calibration device, terminal equipment and storage medium
CN112422369A (en) Method and device for determining offline time, storage medium and electronic device
CN111695319A (en) Method and equipment for compensating inductance of series loop of connector in real time
CN110736894A (en) Fault recording method, system and terminal equipment
US7860477B2 (en) Self-calibrating filter
CN111176985A (en) Software interface performance testing method and device, computer equipment and storage medium
CN115134203B (en) Signal processing method and device and electronic equipment
CN110865931A (en) Simulation method, simulation device, electronic device, and storage medium
US11799508B2 (en) Wave limiting circuit, and pre-calibration method, dynamic correction method, and apparatuses therefor
AU2017443100A1 (en) Method for configuring user equipment measurement parameters, user equipment and network equipment
CN107132471B (en) Method and equipment for debugging microwave device
CN107247819B (en) Filtering method and filter for sensor
Ito et al. Rotated-cone-programming method for designing phase-equalization system
EP2876811A1 (en) Tuning a tunable filter

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
GR01 Patent grant
GR01 Patent grant