CN115494303A - EMI receiver signal conversion method, device and storage medium - Google Patents
EMI receiver signal conversion method, device and storage medium Download PDFInfo
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- CN115494303A CN115494303A CN202211038334.9A CN202211038334A CN115494303A CN 115494303 A CN115494303 A CN 115494303A CN 202211038334 A CN202211038334 A CN 202211038334A CN 115494303 A CN115494303 A CN 115494303A
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- G01R23/16—Spectrum analysis; Fourier analysis
Abstract
The invention discloses a signal conversion method, a device and a storage medium of an EMI receiver, wherein the method comprises the following steps: the method comprises the steps of carrying out data conversion on time domain discrete data signals according to a preset conversion model so that the conversion model carries out fast Fourier transform on the time domain discrete data signals to obtain a plurality of frequency points to be measured, carrying out frequency selection on the frequency points to be measured to obtain a plurality of signals to be measured with preset frequency, calculating an expression formula of the signals to be measured and a formula of a corresponding envelope line, carrying out equal sampling on the envelope line, calculating an average value and a maximum value under a plurality of different frequency points to be measured through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting an average value frequency spectrum and a peak value frequency spectrum under a plurality of different frequency points to be measured. The EMI receiver can simultaneously calculate the peak value and the average value of different frequency points.
Description
Technical Field
The invention relates to the field of frequency-selective measuring instruments, in particular to a signal conversion method and device of an EMI receiver and a storage medium
Background
The EMI receiver is also called as an electromagnetic interference measuring instrument, and is the most widely and basically applied measuring instrument in the electromagnetic compatibility test. EMI receivers are one of the main instruments for measuring interfering emissions. It is a frequency-selecting measuring instrument, and can select the preset frequency component from interference signal inputted by sensor by means of a certain pass band, and can record it, and can continuously change the set frequency to obtain the frequency spectrum of said signal. The EMI receiver can be considered as a tunable, frequency-varying, precision amplitude-measuring voltmeter.
The quasi-peak detector model method of the EMI receiver in the prior art cannot calculate the peak value and the average value of different frequency points at the same time. The calculation needs to be repeated for different frequency points, and the calculation amount is large.
Disclosure of Invention
The invention provides a signal conversion method, a signal conversion device and a storage medium of an EMI receiver, which are used for solving the technical problem that the EMI receiver cannot simultaneously calculate peak values and average values of different frequency points.
In order to solve the above technical problem, an embodiment of the present invention provides a signal conversion method for an EMI receiver, including: acquiring a time domain discrete data signal;
the method comprises the steps of carrying out data conversion on time domain discrete data signals according to a preset conversion model so that the conversion model carries out fast Fourier transform on the time domain discrete data signals to obtain a plurality of frequency points to be detected, carrying out frequency selection on the frequency points to be detected according to a preset frequency range and a preset pass band frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequency, calculating an expression formula of the signals to be detected according to the amplitude, the phase and the angular speed of harmonic components after preset frequency selection, calculating a formula of corresponding envelope lines according to the expression formula, carrying out equal sampling on the envelope lines, calculating the average value and the maximum value under a plurality of different frequency points to be detected through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting an average value spectrum and a peak value spectrum under a plurality of different frequency points to be detected.
According to the preferred scheme, the frequency points to be detected are input into an IF filter for frequency selection according to preset frequency data and a simulated passband frequency selection characteristic curve, signals to be detected of different frequency points are selected, and peak values and average values of the different frequency points are calculated simultaneously through an average value detection model and a peak value detection model. The peak value and the average value of different frequency points are calculated by the EMI receiver at the same time, the calculation of different frequency points is not needed, and the calculation amount is reduced.
As a preferred scheme, the preset passband frequency-selecting characteristic curve specifically includes:
and simulating the passband characteristic curve of the IF filter according to the preset upper and lower limit requirements, the frequency bandwidth, the correction coefficient and the Gaussian function to determine the passband frequency selection characteristic curve of the IF filter.
As a preferred scheme, the frequency selection characteristic curve of the pass band is simulated through the frequency bandwidth, the correction coefficients and the Gaussian function, and different EMI receivers have different correction coefficients and need to be subjected to data fitting determination after actual test. Different EMI receivers can simulate the passband frequency-selecting characteristic curve suitable for the receivers, and usability and accuracy are improved.
As a preferred scheme, the frequency selection is performed on a plurality of frequency points to be measured according to a preset frequency range and a preset pass band frequency selection characteristic curve to obtain a plurality of signals to be measured with preset frequencies, which specifically includes:
setting the frequency range of the IF filter to be 9KHz-108MHz, and dividing the frequency range into three sections, namely 9KHz-150KHz, 150KHz-30MHz and 30MHz-108MHz respectively; wherein, the scanning step length is 100Hz, 4KHz and 40KHz respectively;
in the three-section frequency range, the IF filter scans frequency points to be detected, the frequency points to be detected are not attenuated through the amplitude-frequency characteristic of the IF filter, and other frequency points are attenuated to different degrees after passing through the IF filter according to a preset passband frequency-selecting characteristic curve to obtain a plurality of signals to be detected with preset frequency.
As a preferred scheme, the frequency range is set to be 9KHz-108MHz, the range is large, different frequency points to be measured can be selected in the range, so that an EMI receiver can measure data of a plurality of different frequency points simultaneously in the frequency range with the large range, the frequency points to be measured are not attenuated through the amplitude-frequency characteristic of an IF filter, and other frequency points are rapidly attenuated after passing through the IF filter to obtain signals to be measured of different frequency points. The data of a plurality of different frequency points are measured simultaneously, repeated calculation of different frequency points is not needed, and the calculation amount is reduced.
As a preferred scheme, the calculating an expression formula of the signal to be measured according to the amplitude, the phase and the angular velocity of the preset frequency-selected harmonic component specifically includes:
obtaining the amplitude, the phase and the angular velocity of the signal to be detected of each frequency component after frequency selection, calculating the expression of each harmonic component, and adding the expressions of each harmonic component to obtain the expression formula of the signal to be detected.
As a preferable scheme, the expression calculation is carried out on the signal of each preset frequency point, the information of all different frequency points is obtained, and therefore the expression of the overall envelope line is calculated, the average value and the maximum value of the different frequency points can be obtained on the envelope line at the same time, the calculation does not need to be carried out repeatedly on the different frequency points, and the calculation amount is reduced.
As a preferred scheme, the equally sampling the envelope, calculating an average value and a maximum value under a plurality of different frequency points to be measured through a preset average detection algorithm and a preset peak detection algorithm, and outputting an average frequency spectrum and a peak frequency spectrum under a plurality of different frequency points to be measured specifically includes:
n equal sampling is carried out on the envelope curve to obtain a plurality of sampling data, the sampling data are input into a preset average detection algorithm and a preset peak detection algorithm, the average value and the maximum value of a plurality of different frequency points to be detected are calculated, and an average frequency spectrum and a peak frequency spectrum of the different frequency points to be detected are output;
the average detection algorithm and the peak detection algorithm are as follows:
wherein, V peak Is a peak value, V ave Is an average value of E i Is an envelope.
As a preferred scheme, the average value and the maximum value under different frequency points are obtained by the envelope curve of the average value detection algorithm and the peak value detection algorithm, and the average value frequency spectrum and the peak value frequency spectrum under a plurality of different frequency points to be detected are output, so that the EMI receiver can simultaneously calculate the peak value and the average value of different frequency points.
Accordingly, this patent also proposes an EMI receiver signal conversion apparatus, which is characterized by comprising: the device comprises a data preprocessing module, a frequency selection module and a calculation module;
the data preprocessing module is used for performing fast Fourier transform on an input time domain discrete data signal to obtain a plurality of frequency points to be detected;
the frequency selection module is used for carrying out frequency selection on a plurality of frequency points to be detected according to a preset frequency range and a preset passband frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequency;
the calculation module is used for calculating an expression formula of the signal to be measured according to the amplitude, the phase and the angular velocity of a preset frequency-selected harmonic component, calculating a formula of a corresponding envelope line according to the expression formula, carrying out equal sampling on the envelope line, calculating the average value and the maximum value of a plurality of different frequency points to be measured through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting a plurality of average value frequency spectrums and peak value frequency spectrums of the different frequency points to be measured.
As a preferred scheme, the EMI receiver modeling device inputs frequency points to be detected into an IF filter for frequency selection according to preset frequency data and a simulated passband frequency selection characteristic curve, selects signals to be detected of different frequency points, and simultaneously calculates peak values and average values of the different frequency points through an average value detection algorithm and a peak value detection algorithm, so that the calculation of the different frequency points is not required to be repeated, and the calculation amount is reduced.
As a preferred scheme, the preset passband frequency-selecting characteristic curve specifically includes:
and simulating the passband characteristic curve of the IF filter according to the preset upper and lower limit requirements, the frequency bandwidth, the correction coefficient and the Gaussian function, and determining the passband frequency selection characteristic curve of the IF filter.
As a preferred scheme, the frequency selection characteristic curve of the pass band is simulated through the frequency bandwidth, the correction coefficients and the Gaussian function, and different EMI receivers have different correction coefficients and need to be subjected to data fitting determination after actual test. Different EMI receivers can simulate the passband frequency-selecting characteristic curve suitable for the receivers, and usability and accuracy are improved.
As an optimal scheme, the frequency selection is performed on a plurality of frequency points to be detected according to a preset frequency range and a preset pass band frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequencies, and the method specifically comprises the following steps:
setting the frequency range of the IF filter to be 9KHz-108MHz, and dividing the frequency range into three sections, namely 9KHz-150KHz, 150KHz-30MHz and 30MHz-108MHz respectively; wherein, the scanning step length is 100Hz, 4KHz and 40KHz respectively;
in the three-section frequency range, the IF filter scans frequency points to be detected, the frequency points to be detected are not attenuated through the amplitude-frequency characteristic of the IF filter, and other frequency points are attenuated to different degrees after passing through the IF filter according to a preset passband frequency-selecting characteristic curve to obtain a plurality of signals to be detected with preset frequency.
As a preferred scheme, the frequency range is set to be 9KHz-108MHz, the range is large, different frequency points to be measured can be selected in the range, so that an EMI receiver can measure data of a plurality of different frequency points simultaneously in the frequency range with the large range, the frequency points to be measured are not attenuated through the amplitude-frequency characteristic of an IF filter, and other frequency points are rapidly attenuated after passing through the IF filter to obtain signals to be measured of different frequency points. The data of a plurality of different frequency points are measured simultaneously, repeated calculation of the different frequency points is not needed, and the calculation amount is reduced.
As a preferred scheme, the method includes equally sampling the envelope, calculating an average value and a maximum value of a plurality of different frequency points to be measured through a preset average detection algorithm and a preset peak detection algorithm, and outputting an average frequency spectrum and a peak frequency spectrum of the plurality of different frequency points to be measured, specifically:
n equal sampling is carried out on the envelope curve to obtain a plurality of sampling data, the sampling data are input into a preset average detection algorithm and a preset peak detection algorithm, the average value and the maximum value of a plurality of different frequency points to be detected are calculated, and an average frequency spectrum and a peak frequency spectrum of the different frequency points to be detected are output;
the average detection algorithm and the peak detection algorithm are as follows:
where Vpeak is the peak value, vave is the average value, and Ei is the envelope.
As a preferred scheme, the average value and the maximum value under different frequency points are obtained by the envelope curve of the average value detection algorithm and the peak value detection algorithm, and the average value frequency spectrum and the peak value frequency spectrum under a plurality of different frequency points to be detected are output, so that the EMI receiver can simultaneously calculate the peak value and the average value of different frequency points.
Accordingly, this patent also proposes a computer-readable storage medium, characterized in that it comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of EMI receiver signal conversion as set forth in the summary of the invention.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a method for signal conversion for an EMI receiver;
FIG. 2 is a schematic diagram of one embodiment of the predetermined upper and lower limit requirements of the EMI receiver signal conversion method provided by the present invention;
FIG. 3 is a schematic diagram illustrating an embodiment of frequency selection performed by the EMI receiver signal conversion method according to the present invention;
fig. 4 is a schematic structural diagram of an embodiment of the EMI receiver signal conversion apparatus provided in the present invention.
Detailed Description
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.
Example one
Referring to fig. 1, a signal conversion method for an EMI receiver according to an embodiment of the present invention includes the following steps S101 to S102:
step S101: a time domain discrete data signal is acquired.
In this embodiment, the time domain discrete data signal is obtained by performing circuit simulation through circuit simulation software.
Step S102: the method comprises the steps of carrying out data conversion on time domain discrete data signals according to a preset conversion model so that the conversion model carries out fast Fourier transform on the time domain discrete data signals to obtain a plurality of frequency points to be measured, carrying out frequency selection on the frequency points to be measured according to a preset frequency range and a preset passband frequency selection characteristic curve to obtain a plurality of signals to be measured with preset frequency, calculating an expression formula of the signals to be measured according to the amplitude, the phase and the angular speed of harmonic components after preset frequency selection, calculating a formula of corresponding envelope curves according to the expression formula, carrying out equal sampling on the envelope curves, calculating the average value and the maximum value under a plurality of different frequency points to be measured through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting an average value frequency spectrum and a peak value frequency spectrum under a plurality of different frequency points to be measured.
In this embodiment, the preset passband frequency-selecting characteristic curve specifically includes:
and simulating the passband characteristic curve of the IF filter according to the preset upper and lower limit requirements, the frequency bandwidth, the correction coefficient and the Gaussian function, and determining the passband frequency selection characteristic curve of the IF filter.
Referring to fig. 2, the preset upper and lower limits are required to be the upper and lower limits of the passband specified by CISPR 16-1-1.
The formula for simulating the passband characteristic curve is as follows:
wherein G is IF Is a Gaussian function, r is a correction coefficient, RBW is a frequency bandwidth, f IF Is the preset frequency of the IF filter.
In this embodiment, referring to fig. 3, according to a preset frequency range and a preset passband frequency selection characteristic curve, frequency selection is performed on a plurality of frequency points to be detected, which specifically includes:
setting the frequency range of the IF filter to be 9KHz-108MHz, and dividing the frequency range into three sections, namely 9KHz-150KHz, 150KHz-30MHz and 30MHz-108MHz respectively; wherein, the scanning step length is 100Hz, 4KHz and 40KHz respectively;
in the three-section frequency range, the IF filter scans frequency points to be detected, the frequency points to be detected are not attenuated through the amplitude-frequency characteristic of the IF filter, and other frequency points are attenuated to different degrees after passing through the IF filter according to a preset passband frequency-selecting characteristic curve to obtain a plurality of signals to be detected with preset frequency.
In this embodiment, calculating an expression formula of the signal to be measured according to a preset amplitude, a preset phase and a preset angular velocity of the frequency-selected harmonic component includes:
let A k 、φ k And ω k The amplitude, the phase and the angular velocity of the k-th harmonic component after frequency selection are obtained, n is the total number of frequency components contained in the signal after frequency selection, the amplitude, the phase and the angular velocity of the signal to be detected of each frequency component after frequency selection are obtained, and the expression of each harmonic component is calculated as follows:
the corresponding envelope is given by the formula:
in this embodiment, the envelope is sampled by N equal portions to obtain E 1 ，E 2 ，…，E N And a series of sampling data, inputting a plurality of sampling data into a preset average detection algorithm and a preset peak detection algorithm, calculating the average value and the maximum value of a plurality of different frequency points to be detected, and outputting a plurality of average frequency spectrums and peak frequency spectrums of different frequency points to be detected.
The average detection algorithm and the peak detection algorithm are as follows:
wherein, V peak Is a peak value, V ave Is an average value, E i Is an envelope.
The embodiment of the invention has the following effects:
according to the method, the frequency points to be detected are input into an IF filter for frequency selection according to preset frequency data and simulated passband frequency selection characteristic curves, signals to be detected of different frequency points are selected, and peak values and average values of the different frequency points are calculated simultaneously through an average value detection model and a peak value detection model. The peak value and the average value of different frequency points are calculated by the EMI receiver at the same time, the calculation of different frequency points is not needed, and the calculation amount is reduced.
Example two
Accordingly, referring to fig. 4, the signal conversion apparatus for an EMI receiver according to the embodiment of the present invention includes a data preprocessing module 201, a frequency selecting module 202, and a calculating module 203;
the data preprocessing module 201 is configured to perform fast fourier transform on an input time domain discrete data signal to obtain a plurality of frequency points to be measured;
the frequency selection module 202 is configured to perform frequency selection on a plurality of frequency points to be detected according to a preset frequency range and a preset passband frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequencies;
the calculating module 203 is configured to calculate an expression formula of the signal to be detected according to the amplitude, the phase, and the angular velocity of the preset frequency-selected harmonic component, calculate a formula of a corresponding envelope according to the expression formula, perform equal sampling on the envelope, calculate an average value and a maximum value at a plurality of different frequency points to be detected through a preset average value detection algorithm and a preset peak value detection algorithm, and output an average value spectrum and a peak value spectrum at a plurality of different frequency points to be detected.
The EMI receiver signal conversion apparatus may implement the EMI receiver signal conversion method of the above method embodiment. The alternatives in the above-described method embodiments are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the contents of the above method embodiments, and in this embodiment, details are not described again.
The embodiment of the invention has the following effects:
according to the EMI receiver modeling device, the frequency points to be detected are input into the IF filter for frequency selection according to preset frequency data and a simulated passband frequency selection characteristic curve, signals to be detected of different frequency points are selected, the peak values and the average values of the different frequency points are calculated simultaneously through the average detection algorithm and the peak detection algorithm, repeated calculation of the different frequency points is not needed, and the calculated amount is reduced.
EXAMPLE III
Accordingly, the present invention also provides a computer-readable storage medium comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the EMI receiver signal conversion method according to any one of the above embodiments.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The terminal device can be a desktop computer, a notebook, a palm computer, a cloud server and other computing devices. The terminal device may include, but is not limited to, a processor, a memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal device and connects the various parts of the whole terminal device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile terminal, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the terminal device integrated module/unit can be stored in a computer readable storage medium if it is implemented in the form of software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A method for signal conversion in an EMI receiver, comprising:
acquiring a time domain discrete data signal;
the method comprises the steps of carrying out data conversion on time domain discrete data signals according to a preset conversion model so that the conversion model carries out fast Fourier transform on the time domain discrete data signals to obtain a plurality of frequency points to be detected, carrying out frequency selection on the frequency points to be detected according to a preset frequency range and a preset pass band frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequency, calculating an expression formula of the signals to be detected according to the amplitude, the phase and the angular speed of harmonic components after preset frequency selection, calculating a formula of corresponding envelope lines according to the expression formula, carrying out equal sampling on the envelope lines, calculating the average value and the maximum value under a plurality of different frequency points to be detected through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting an average value spectrum and a peak value spectrum under a plurality of different frequency points to be detected.
2. The method for signal conversion in an EMI receiver of claim 1, wherein the predetermined pass-band frequency-selective characteristic curve specifically comprises:
and simulating the pass band characteristic curve of the I F filter according to the preset upper and lower limit requirements, the frequency bandwidth, the correction coefficient and the Gaussian function to determine the pass band frequency selection characteristic curve of the IF filter.
3. The method for converting signals of an EMI receiver of claim 1, wherein the frequency selection is performed on a plurality of frequency points to be measured according to a preset frequency range and a preset pass band frequency selection characteristic curve to obtain a plurality of signals to be measured with preset frequencies, specifically:
setting the frequency range of the IF filter to be 9KHz-108MHz, and dividing the frequency range into three sections, namely 9KHz-150KHz, 150KHz-30MHz and 30MHz-108MHz respectively; wherein, the scanning step length is 100Hz, 4KHz and 40KHz respectively;
in the three-section frequency range, the IF filter scans frequency points to be detected, the frequency points to be detected are not attenuated through the amplitude-frequency characteristic of the IF filter, and other frequency points are attenuated to different degrees after passing through the IF filter according to a preset passband frequency-selecting characteristic curve to obtain a plurality of signals to be detected with preset frequency.
4. The method for converting an EMI receiver signal according to claim 1, wherein the expression formula of the signal to be measured is calculated according to the amplitude, the phase, and the angular velocity of the preset frequency-selected harmonic component, specifically:
obtaining the amplitude, the phase and the angular velocity of the signal to be detected of each frequency component after frequency selection, calculating the expression of each harmonic component, and adding the expressions of each harmonic component to obtain the expression formula of the signal to be detected.
5. The method for converting an EMI receiver signal of claim 1, wherein the envelope is equally sampled, an average value and a maximum value at a plurality of different frequency points to be measured are calculated through a preset average detection algorithm and a preset peak detection algorithm, and an average frequency spectrum and a peak frequency spectrum at a plurality of different frequency points to be measured are output, specifically:
n equal sampling is carried out on the envelope curve to obtain a plurality of sampling data, the sampling data are input into a preset average detection algorithm and a preset peak detection algorithm, the average value and the maximum value of a plurality of different frequency points to be detected are calculated, and an average frequency spectrum and a peak frequency spectrum of the different frequency points to be detected are output;
the average detection algorithm and the peak detection algorithm are as follows:
wherein, V peak Is a peak value, V ave Is an average value of E i Is an envelope.
6. An apparatus for signal conversion in an EMI receiver, comprising: the device comprises a data preprocessing module, a frequency selection module and a calculation module;
the data preprocessing module is used for performing fast Fourier transform on an input time domain discrete data signal to obtain a plurality of frequency points to be measured;
the frequency selection module is used for carrying out frequency selection on a plurality of frequency points to be detected according to a preset frequency range and a preset passband frequency selection characteristic curve to obtain a plurality of signals to be detected with preset frequency;
the calculation module is used for calculating an expression formula of the signal to be detected according to the amplitude, the phase and the angular velocity of the preset frequency-selected harmonic component, calculating a formula of a corresponding envelope line according to the expression formula, carrying out equal sampling on the envelope line, calculating an average value and a maximum value under a plurality of different frequency points to be detected through a preset average value detection algorithm and a preset peak value detection algorithm, and outputting an average value frequency spectrum and a peak value frequency spectrum under a plurality of different frequency points to be detected.
7. The EMI receiver signal conversion apparatus of claim 6, wherein the predetermined pass-band frequency-selective characteristic curve is specifically:
and simulating the passband characteristic curve of the I F filter according to the preset upper and lower limit requirements, the frequency bandwidth, the correction coefficient and the Gaussian function to determine the passband frequency selection characteristic curve of the IF filter.
8. The apparatus for converting signals of an EMI receiver of claim 6, wherein the frequency selection is performed on a plurality of frequency points to be measured according to a preset frequency range and a preset pass-band frequency-selection characteristic curve to obtain a plurality of signals to be measured with preset frequencies, specifically:
setting the frequency range of the IF filter to be 9KHz-108MHz, and dividing the frequency range into three sections, namely 9KHz-150KHz, 150KHz-30MHz and 30MHz-108MHz respectively; wherein, the scanning step length is 100Hz, 4KHz and 40KHz respectively;
in the three-section frequency range, the IF filter scans frequency points to be detected, the frequency points to be detected are not attenuated through the amplitude-frequency characteristic of the IF filter, and other frequency points are attenuated to different degrees after passing through the IF filter according to a preset passband frequency-selecting characteristic curve to obtain a plurality of signals to be detected with preset frequency.
9. The apparatus of claim 6, wherein the envelope is sampled equally, an average value and a maximum value at a plurality of different frequency points to be measured are calculated through a preset average detection algorithm and a preset peak detection algorithm, and an average spectrum and a peak spectrum at a plurality of different frequency points to be measured are output, specifically:
n equal sampling is carried out on the envelope curve to obtain a plurality of sampling data, the sampling data are input into a preset average detection algorithm and a preset peak detection algorithm, the average value and the maximum value of a plurality of different frequency points to be detected are calculated, and an average frequency spectrum and a peak frequency spectrum of the different frequency points to be detected are output;
the average detection algorithm and the peak detection algorithm are as follows:
where Vpeak is the peak value, vave is the average value, and Ei is the envelope.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the EMI receiver signal conversion method of any one of claims 1 to 5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116781187A (en) * | 2023-08-22 | 2023-09-19 | 北京唯得科技有限公司 | Frequency shift compensation method, system, medium and equipment |
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| CN116781187A (en) * | 2023-08-22 | 2023-09-19 | 北京唯得科技有限公司 | Frequency shift compensation method, system, medium and equipment |
| CN116781187B (en) * | 2023-08-22 | 2023-10-31 | 北京唯得科技有限公司 | Frequency shift compensation method, system, medium and equipment |
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