CN117330939A - ATE-based switched capacitor filter adjustment and measurement method, system and storage medium - Google Patents

ATE-based switched capacitor filter adjustment and measurement method, system and storage medium Download PDF

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Publication number
CN117330939A
CN117330939A CN202311544142.XA CN202311544142A CN117330939A CN 117330939 A CN117330939 A CN 117330939A CN 202311544142 A CN202311544142 A CN 202311544142A CN 117330939 A CN117330939 A CN 117330939A
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China
Prior art keywords
target filter
signal
filter
test
environment
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Chinese (zh)
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谌谦
张路
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Core Fire Microtest Chengdu Technology Co ltd
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Core Fire Microtest Chengdu Technology Co ltd
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Priority to CN202311544142.XA priority Critical patent/CN117330939A/en
Publication of CN117330939A publication Critical patent/CN117330939A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28Testing of electronic circuits, e.g. by signal tracer
    • G01R31/2832Specific tests of electronic circuits not provided for elsewhere
    • G01R31/2834Automated test systems [ATE]; using microprocessors or computers
    • 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
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/40Arrangements for reducing harmonics

Abstract

The invention discloses a method, a system and a storage medium for adjusting and measuring a switched capacitor filter based on ATE. In the embodiment of the invention, the test device is utilized to simulate the test waveform by constructing the test environment of the target filter, the test waveform is selectively input into the target filter to be detected by the test device, the signal transmission condition of the target filter is acquired, and then the signal transmission condition of the target filter can be converted into image information according to the signal transmission condition of the target filter, so that the basis is provided for the test judgment result of the target filter. The method does not need to adopt excessive equipment for cooperation detection, and effectively simplifies the adjustment and measurement process of the filter. Namely, the method effectively solves the defect that the detection and debugging process of the switched capacitor filter is complex in the prior art, so that mass production test cannot be performed.

Description

ATE-based switched capacitor filter adjustment and measurement method, system and storage medium
Technical Field
The invention relates to the technical field of switch capacitor filter testing, in particular to a method, a system and a storage medium for adjusting and testing a switch capacitor filter based on ATE.
Background
The switch capacitor filter belongs to one kind of integrated circuit, and has small volume, high integration level, cut-off frequency and input clock in proportional relation, and it is usually used in vector network analyzer or signal source and frequency spectrograph to test performance, and when the time frequency is changed, the frequency of input signal needs to be reset to obtain amplitude-frequency response under different cut-off frequency, and in addition, other instruments and meters are needed for testing DC parameters, so that a set of full parameter test platform needs to be built, the debugging complexity is increased, the development period is long, and the test platform can not be suitable for large-scale mass production test. Namely, the existing detection and debugging process for the switched capacitor filter is complex, and the detection and debugging overall cost is high.
Disclosure of Invention
The invention aims to solve the defect that the detection and debugging process of a switched capacitor filter is complex, so that mass production test cannot be performed in the prior art, and provides a method, a system and a storage medium for adjusting the switched capacitor filter based on ATE.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the first aspect of the present invention provides a method for tuning an ATE-based switched capacitor filter, comprising:
according to the working specification information of the target filter, and combining test equipment, constructing a tuning environment of the target filter;
simulating and generating a test waveform by utilizing the adjustment and measurement environment of the target filter and combining the working specification information of the target filter;
writing the test waveform into the modulation environment of the target filter to obtain transmission feedback information of the modulation environment;
repeatedly writing the test waveforms into the adjustment environment of the target filter and the target filter in sequence to obtain transmission feedback information of the target filter;
respectively carrying out quantization acquisition on transmission feedback information of a modulation and measurement environment and transmission feedback information of a target filter, and respectively generating a first signal image of a test waveform output in the modulation and measurement environment and a second signal image of the test waveform output in the target filter;
and carrying out image analysis on the first signal image and the second signal image of the test waveform to obtain the transmission feedback condition of the target filter.
In a possible embodiment, the method for transmitting feedback information in the tuning environment includes:
determining basic data information of the target filter according to the working specification information of the target filter;
wherein the basic data information of the target filter includes: amplitude data, frequency range data, and time length information;
according to basic data information of the target filter, simulating uniformly accelerated digital waveforms by using test equipment;
converting the uniform acceleration digital waveform into a discrete uniform acceleration electric signal and transmitting the discrete uniform acceleration electric signal to an input end in a regulating and measuring environment;
and acquiring an electric signal output by an output end of the modulation environment to obtain transmission feedback information of the modulation environment.
In a possible embodiment, the method for obtaining the transmission feedback information of the target filter includes:
repeating the analog uniform acceleration digital waveform, and converting the analog uniform acceleration digital waveform into a discrete uniform acceleration electric signal;
sending the discrete uniform acceleration electric signals into an input end in a modulation environment;
and the electric signal is input into the input end of the target filter through the output end in the adjustment and measurement environment, and the electric signal output by the output end of the target filter is acquired to obtain the transmission feedback information of the target filter.
In one possible embodiment, the method for simulating the ramp-up digital waveform comprises:
let the analog ramp-up digital waveform be Wave, then the ramp-up digital waveform Wave is:
wave=amp×sin (2pi×freq×t) formula 1
In formula 1, amp is the amplitude value of the target filter, freq is the frequency range variable, and t is the time length variable;
wherein, freq and t are required to satisfy the following relationship:
freq/freq_step=t/step 2
In equation 2, freq step is the frequency step; t_step is time-step.
In a possible embodiment, the method for feedback transmission of the target filter includes:
the method comprises the steps of carrying out quantitative acquisition on transmission feedback information of an output end of a modulation environment to obtain a signal sampling sample of a test waveform output in the modulation environment;
carrying out quantization acquisition on transmission feedback information of the output end of the target filter to obtain a signal sampling sample of the test waveform output by the target filter;
respectively transforming the signal sampling sample of the modulation and measurement environment and the signal sampling sample of the target filter to respectively obtain a signal distribution curve of the test waveform after the output of the modulation and measurement environment and a signal distribution curve of the test waveform after the output of the target filter;
respectively manufacturing a first signal image of the test waveform output in the adjustment and measurement environment and a second signal image of the test waveform output in the target filter according to the signal distribution curve of the test waveform output in the adjustment and measurement environment and the signal distribution curve of the test waveform output in the target filter;
and determining the transmission feedback condition of the target filter according to the signal distribution curve of the test waveform after being output in the adjustment and measurement environment and the signal distribution curve of the test waveform after being output in the target filter and combining the first signal image of the test waveform after being output in the adjustment and measurement environment and the second signal image of the test waveform after being output in the target filter.
In a possible embodiment, the method for transforming the signal sampling sample of the modulation environment and the signal sampling sample of the target filter includes:
and processing the signal sampling sample of the modulation environment and the signal sampling sample of the target filter by adopting discrete Fourier transform.
In a possible embodiment, the method for obtaining the transmission feedback condition of the target filter further includes:
let the signal distribution curve of the test waveform after the output of the modulation environment be V1, then:
let the signal distribution curve of the test waveform after the output of the target filter be V2, then:
in the formula 4, V1 (x) and V2 (x) are frequency domain signals respectively, N is the total sampling point number, N is the time domain current sampling point, x is the frequency domain current sampling point, and x (N) is the time domain signal;
and (3) obtaining a transmission feedback condition curve V of the target filter by using the formula 4-formula 3, wherein:
v (x) =v2 (x) -V1 (x), x=0, 1,2, … N-1 formula 5.
A second aspect of the present invention provides an ATE-based switched capacitor filter tuning system, implementing an ATE-based switched capacitor filter tuning method as set forth in any one of the first aspects, the tuning system further comprising:
the test equipment is an integrated circuit automatic test machine and is used for simulating test waveforms and collecting and transmitting feedback information.
In a possible embodiment, the tuning system further comprises:
the data processing module is used for outputting a signal distribution curve;
and the image processing module is used for outputting a signal image according to the signal distribution curve.
A third aspect of the invention provides a computer-readable medium having stored thereon a computer program, wherein the program when executed by a processor implements an ATE-based switched capacitor filter tuning method according to any of the first aspects.
The beneficial effects of the invention are as follows:
in the embodiment of the invention, the test device is utilized to simulate the test waveform by constructing the test environment of the target filter, the test waveform is selectively input into the target filter to be detected by the test device, the signal transmission condition of the target filter is acquired, and then the signal transmission condition of the target filter can be converted into image information according to the signal transmission condition of the target filter, so that the basis is provided for the test judgment result of the target filter. The method does not need to adopt excessive equipment for cooperation detection, and effectively simplifies the adjustment and measurement process of the filter. Namely, the method effectively solves the defect that the detection and debugging process of the switched capacitor filter is complex in the prior art, so that mass production test cannot be performed.
Drawings
FIG. 1 is a schematic diagram of an overall flow chart of an ATE-based switched capacitor filter tuning method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a portion of a method for tuning an ATE-based switched capacitor filter according to an embodiment of the present invention;
FIG. 3 shows a discrete uniform acceleration electrical signal of a test waveform in an ATE-based switched capacitor filter tuning method according to an embodiment of the present invention;
FIG. 4 is a first signal image of an ATE-based switched capacitor filter tuning method according to an embodiment of the present invention;
FIG. 5 is a diagram of a second signal image in an ATE-based switched capacitor filter tuning method according to an embodiment of the present invention;
fig. 6 is a transmission feedback condition image of a target filter in a test method of a switched capacitor filter according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present invention are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
In the present invention, unless specifically stated and limited otherwise, the terms "connected," "affixed," and the like are to be construed broadly, and for example, "affixed" may be a fixed connection, a removable connection, or an integral body; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the meaning of "and/or" as it appears throughout includes three parallel schemes, for example "A and/or B", including the A scheme, or the B scheme, or the scheme where A and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Examples
Referring to fig. 1 to 6, in order to solve the disadvantage that in the prior art, the detection and debugging process of the switched capacitor filter is complex, so that mass production test cannot be performed, in this embodiment, the first aspect of the present invention provides a method for adjusting the switched capacitor filter based on ATE, where an adjusting environment of a target filter is constructed, test waveforms are simulated by using test equipment, the test waveforms are selectively input into the target filter to be detected by using the test equipment, signal transmission conditions of the target filter are obtained, and then the signal transmission conditions of the target filter can be converted into image information according to the signal transmission conditions of the target filter, so as to provide a basis for adjusting and judging results of the target filter. The method does not need to adopt excessive equipment for cooperation detection, and effectively simplifies the adjustment and measurement process of the filter. Namely, the method effectively solves the defect that the detection and debugging process of the switched capacitor filter is complex in the prior art, so that mass production test cannot be performed.
Specifically, the adjustment and measurement method comprises the following steps:
the method comprises the steps of obtaining the working specification information of a target switch capacitor filter by pre-measuring the model specification and the working power of the switch capacitor filter, and then sending the target switch capacitor filter into test equipment according to the working specification information of the target filter, so that the test equipment can set corresponding measurement parameters according to the working specification of the target switch capacitor filter, and a corresponding measurement environment is constructed. And then, simulating and generating a test waveform by utilizing the adjustment and measurement environment of the target filter and combining the working specification information of the target filter. Before the target filter is debugged and detected, the signal transmission condition of the debugging environment is required to be acquired, and the loss and distortion condition of the signal transmission by the debugging environment are judged, so that an effective basis is provided for the follow-up debugging and judging of the target filter. The test waveform is written into the modulation environment of the target filter, and the transmission feedback information of the modulation environment is received by using the test equipment. When the target filter is debugged and detected, the test waveforms are sequentially written into the debugging environment of the target filter and the target filter in sequence, so that the transmission feedback information of the target filter is obtained. The method comprises the steps of inputting a test waveform into a modulation and measurement environment, inputting the test waveform into a target filter through an output end of the modulation and measurement environment for filtering, quantitatively acquiring transmission feedback information of the modulation and measurement environment and transmission feedback information of the target filter, and quantitatively acquiring the transmission feedback information of the modulation and measurement environment and the transmission feedback information of the target filter respectively to generate a first signal image output by the corresponding test waveform in the modulation and measurement environment and a second signal image output by the target filter by the test waveform. And then, carrying out image analysis on the first signal image and the second signal image of the test waveform to obtain the transmission feedback condition of the target filter. That is, the image analysis of the target filter may analyze the comparison situation of the pass band flatness, the cut-off frequency, the insertion loss, the stop band attenuation and the like of the waveform on the second signal image and the first signal image, which are shown after the image analysis is filtered, that is, the transmission feedback situation of the target filter includes: the test waveform in the second signal image is one or more of passband flatness, cutoff frequency, insertion loss, and stopband attenuation of the waveform after being filtered by the target filter. The invention constructs the adjusting and testing environment of the target filter, uses the testing equipment to simulate the testing waveform, uses the testing equipment to selectively input the testing waveform into the target filter to be tested, obtains the signal transmission condition of the target filter, and then can convert the signal transmission condition of the target filter into image information so as to provide basis for the adjusting and testing judgment result of the target filter. The method does not need to adopt excessive equipment for cooperation detection, and effectively simplifies the adjustment and measurement process of the filter. Namely, the method effectively solves the defect that the detection and debugging process of the switched capacitor filter is complex in the prior art, so that mass production test cannot be performed.
Referring to fig. 2 and 3, in this embodiment, in order to facilitate understanding of how to acquire the signal transmission loss and distortion of the test waveform in the tuning environment, the following description is provided. Specifically, the method for transmitting feedback information in the adjustment and measurement environment includes:
determining basic data information of the target filter according to the working specification information of the target filter; wherein the basic data information of the target filter includes: amplitude data, frequency range data, and time length information; the method comprises the steps of acquiring working specification data information of a switch capacitor filter to be detected, determining the frequency specification type of a required test waveform in a modulation and measurement environment, and simulating a corresponding uniform acceleration digital waveform in the modulation and measurement environment by using test equipment (in order to facilitate the mastering of the test waveform, the test waveform is preferably a uniform acceleration digital waveform with a certain fixed frequency manually or fixedly selected). And converting the uniform acceleration digital waveform into a discrete uniform acceleration electric signal through digital-to-analog conversion equipment, transmitting the discrete uniform acceleration electric signal to an input end in a modulation and measurement environment, and then acquiring an electric signal output by an output end of the modulation and measurement environment to obtain signal loss and distortion conditions of the discrete uniform acceleration electric signal in the modulation and measurement environment so as to obtain transmission feedback information of the modulation and measurement environment.
Referring to fig. 2, 3 and 4, in this embodiment, in order to facilitate understanding of how the signal transmission loss and distortion of the test waveform in the target filter are obtained, the following description is given here. Specifically, the method for obtaining the transmission feedback information of the target filter includes:
according to the test waveform generation method for the testing environment, the same uniform acceleration digital waveform is repeatedly simulated, and the simulated uniform acceleration digital waveform is converted into a discrete uniform acceleration electric signal through a digital-to-analog converter (shown in figure 3); and then the discrete uniform acceleration electric signal is sent into an input end in the modulation and measurement environment, the electric signal is input into an input end of the target filter through an output end of the modulation and measurement environment, and the electric signal output by the output end of the target filter is acquired to obtain the transmission feedback information of the target filter. In this embodiment, on the one hand, the same test waveform is processed by adopting the same modulation and measurement environment, and then is input into the input end of the target filter, so that the signal loss distortion condition of the target filter can be compared with the signal transmission loss and distortion condition of the test waveform in the modulation and measurement environment by using the test waveform in the modulation and measurement environment and the signal transmission loss and distortion condition of the target filter, thereby obtaining the transmission loss and distortion condition of the electric signal in the target filter and providing a basis for the modulation and measurement condition of the target filter. On the other hand, the clutter removal processing can be carried out on the input end front-end input signal of the target filter by utilizing the basic filtering information in the adjusting and testing environment, so that the test influence on the target filter is reduced, namely, the test factors of the target filter are ensured to be kept within a certain fixed frequency or frequency band by utilizing the basic filtering information in the adjusting and testing environment, and the accuracy of the overall test condition of the target filter is ensured.
Referring to fig. 3, in this embodiment, in order to facilitate understanding of how to make the tuning environment perform test waveform simulation according to the operation model specification of the target filter, the following description will be made. Specifically, the method for simulating the even acceleration digital waveform comprises the following steps:
let the analog ramp-up digital waveform be Wave, then the ramp-up digital waveform Wave is:
wave=amp×sin (2pi×freq×t) formula 1
In formula 1, amp is the amplitude value of the target filter, freq is the frequency range variable, and t is the time length variable;
wherein, freq and t are required to satisfy the following relationship:
freq/freq_step=t/step 2
In equation 2, freq step is the frequency step; t_step is time-step.
Referring to fig. 3, 4, 5 and 6, in this embodiment, in order to facilitate understanding of how to acquire the transmission feedback condition of the target filter, the following description is given here. Specifically, the method for transmitting feedback conditions of the target filter includes:
the method comprises the steps of carrying out quantitative acquisition on transmission feedback information of an output end of a modulation environment to obtain a signal sampling sample of a test waveform output in the modulation environment; the frequency domain acquisition is carried out on the electric signal at the output end of the modulation environment, so that the quantitative analysis on the signal transmission loss and the situation in the modulation environment is realized;
carrying out quantization acquisition on transmission feedback information of the output end of the target filter to obtain a signal sampling sample of the test waveform output by the target filter; the electric signal at the output end of the target filter is subjected to frequency domain acquisition, so that the signal transmission loss and the condition of the target filter are quantitatively analyzed;
according to the acquired signal sampling sample of the modulation and measurement environment and the acquired signal sampling sample of the target filter, respectively converting the signal sampling sample of the modulation and measurement environment and the signal sampling sample of the target filter to respectively obtain a signal distribution curve of the test waveform after being output by the modulation and measurement environment and a signal distribution curve of the test waveform after being output by the target filter;
respectively manufacturing a first signal image (shown in figure 4) of the test waveform output in the modulation and measurement environment and a second signal image (shown in figure 5) of the test waveform output in the target filter according to the signal distribution curve of the test waveform output in the modulation and measurement environment and the signal distribution curve of the test waveform output in the target filter;
and determining the transmission feedback condition of the target filter according to the signal distribution curve of the test waveform after being output in the adjustment and measurement environment and the signal distribution curve of the test waveform after being output in the target filter and combining the first signal image of the test waveform after being output in the adjustment and measurement environment and the second signal image of the test waveform after being output in the target filter. In a possible embodiment, the method for transforming the signal sampling sample of the modulation environment and the signal sampling sample of the target filter includes: and processing the signal sampling sample of the modulation environment and the signal sampling sample of the target filter by adopting discrete Fourier transform.
Referring to fig. 4, 5 and 6, in this embodiment, in order to facilitate understanding of how to perform image analysis processing on the transmission feedback condition of the target filter, the following description is given here. Specifically, the method for obtaining the transmission feedback condition of the target filter further includes:
referring to fig. 4, let the signal distribution curve of the test waveform after the output of the modulation environment be V1, then:
referring to fig. 5, assuming that the signal distribution curve of the test waveform after the output of the target filter is V2, then:
in the formula 4, V1 (x) and V2 (x) are frequency domain signals respectively, N is the total sampling point number, N is the time domain current sampling point, x is the frequency domain current sampling point, and x (N) is the time domain signal;
referring to fig. 6, the transmission feedback condition curve V of the target filter can be obtained by using the equation 4-equation 3, then:
v (x) =v2 (x) -V1 (x), x=0, 1,2, … N-1 formula 5.
In a second aspect of the present invention, an ATE-based switched capacitor filter tuning system is provided to implement an ATE-based switched capacitor filter tuning method as set forth in any one of the first aspects, where in this embodiment, a test device in the tuning system is an ATE-integrated circuit automatic tester, and the test device is used to simulate a test waveform and collect and transmit feedback information. The integrated circuit automatic tester simulates the test waveform of the target filter according to the working specification information of the target filter, and meanwhile, the integrated circuit automatic tester can acquire the transmission feedback information of the test waveform signal. In addition, in this embodiment, in order to enable the tuning system to perform image analysis on a first signal image of a test waveform after being output in a tuning environment and a second signal image of the test waveform after being output in a target filter, the tuning system further includes: the data processing module is used for outputting a signal distribution curve; and the image processing module is used for outputting a signal image according to the signal distribution curve. In this embodiment, the ATE-integrated circuit automatic tester is used to construct a test environment, simulate a test waveform, selectively input the test waveform into a target filter to be detected, acquire the signal transmission condition of the target filter, and then the data processing module and the image processing module can convert the signal transmission condition of the target filter into image information so as to provide a basis for the adjustment and measurement judgment result of the target filter. The method does not need to adopt excessive equipment for cooperation detection, and effectively simplifies the adjustment and measurement process of the filter. Namely, the method effectively solves the defect that the detection and debugging process of the switched capacitor filter is complex in the prior art, so that mass production test cannot be performed.
A third aspect of the invention provides a computer-readable medium having stored thereon a computer program, wherein the program when executed by a processor implements an ATE-based switched capacitor filter tuning method according to any of the first aspects. The computer readable medium in this embodiment may write computer program code for performing the operations of some embodiments of the present disclosure in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.

Claims (10)

1. An ATE-based switched capacitor filter tuning method, comprising:
according to the working specification information of the target filter, and combining test equipment, constructing a tuning environment of the target filter;
simulating and generating a test waveform by utilizing the adjustment and measurement environment of the target filter and combining the working specification information of the target filter;
writing the test waveform into the modulation environment of the target filter to obtain transmission feedback information of the modulation environment;
repeatedly writing the test waveforms into the adjustment environment of the target filter and the target filter in sequence to obtain transmission feedback information of the target filter;
respectively carrying out quantization acquisition on transmission feedback information of a modulation and measurement environment and transmission feedback information of a target filter, and respectively generating a first signal image of a test waveform output in the modulation and measurement environment and a second signal image of the test waveform output in the target filter;
and carrying out image analysis on the first signal image and the second signal image of the test waveform to obtain the transmission feedback condition of the target filter.
2. The ATE-based switched capacitor filter tuning method of claim 1, wherein the method of transmitting feedback information in the tuning environment comprises:
determining basic data information of the target filter according to the working specification information of the target filter;
wherein the basic data information of the target filter includes: amplitude data, frequency range data, and time length information;
according to basic data information of the target filter, simulating uniformly accelerated digital waveforms by using test equipment;
converting the uniform acceleration digital waveform into a discrete uniform acceleration electric signal and transmitting the discrete uniform acceleration electric signal to an input end in a regulating and measuring environment;
and acquiring an electric signal output by an output end of the modulation environment to obtain transmission feedback information of the modulation environment.
3. The ATE-based switched capacitor filter tuning method of claim 2, wherein the obtaining the transmission feedback information of the target filter comprises:
repeating the analog uniform acceleration digital waveform, and converting the analog uniform acceleration digital waveform into a discrete uniform acceleration electric signal;
sending the discrete uniform acceleration electric signals into an input end in a modulation environment;
and the electric signal is input into the input end of the target filter through the output end in the adjustment and measurement environment, and the electric signal output by the output end of the target filter is acquired to obtain the transmission feedback information of the target filter.
4. A method for tuning an ATE-based switched capacitor filter according to claim 2 or 3, wherein the method for analog ramp-up of digital waveforms comprises:
let the analog ramp-up digital waveform be Wave, then the ramp-up digital waveform Wave is:
wave=amp×sin (2pi×freq×t) formula 1
In formula 1, amp is the amplitude value of the target filter, freq is the frequency range variable, and t is the time length variable;
wherein, freq and t are required to satisfy the following relationship:
freq/freq step=t/step 2
In equation 2, freqstep is the frequency step; tstep is a time step.
5. The method for tuning an ATE-based switched capacitor filter according to claim 4, wherein the method for feedback conditions of transmission of the target filter comprises:
the method comprises the steps of carrying out quantitative acquisition on transmission feedback information of an output end of a modulation environment to obtain a signal sampling sample of a test waveform output in the modulation environment;
carrying out quantization acquisition on transmission feedback information of the output end of the target filter to obtain a signal sampling sample of the test waveform output by the target filter;
respectively transforming the signal sampling sample of the modulation and measurement environment and the signal sampling sample of the target filter to respectively obtain a signal distribution curve of the test waveform after the output of the modulation and measurement environment and a signal distribution curve of the test waveform after the output of the target filter;
respectively manufacturing a first signal image of the test waveform output in the adjustment and measurement environment and a second signal image of the test waveform output in the target filter according to the signal distribution curve of the test waveform output in the adjustment and measurement environment and the signal distribution curve of the test waveform output in the target filter;
and determining the transmission feedback condition of the target filter according to the signal distribution curve of the test waveform after being output in the adjustment and measurement environment and the signal distribution curve of the test waveform after being output in the target filter and combining the first signal image of the test waveform after being output in the adjustment and measurement environment and the second signal image of the test waveform after being output in the target filter.
6. The method for adjusting and measuring the switch capacitor filter based on the ATE according to claim 5, wherein the method for transforming the signal sampling sample of the adjusting environment and the signal sampling sample of the target filter comprises the following steps:
and processing the signal sampling sample of the modulation environment and the signal sampling sample of the target filter by adopting discrete Fourier transform.
7. The method for tuning an ATE-based switched capacitor filter according to claim 5 or 6, wherein the method for obtaining a transmission feedback condition of a target filter further comprises:
let the signal distribution curve of the test waveform after the output of the modulation environment be V1, then:
let the signal distribution curve of the test waveform after the output of the target filter be V2, then:
in the formula 4, V1 (x) and V2 (x) are frequency domain signals respectively, N is the total sampling point number, N is the time domain current sampling point, x is the frequency domain current sampling point, and x (N) is the time domain signal;
and (3) obtaining a transmission feedback condition curve V of the target filter by using the formula 4-formula 3, wherein:
v (x) =v2 (x) -V1 (x), x=0, 1, 2.
8. An ATE-based switched capacitor filter tuning system implementing the ATE-based switched capacitor filter tuning method of any one of claims 1 to 7, the tuning system further comprising:
the test equipment is an integrated circuit automatic test machine and is used for simulating test waveforms and collecting and transmitting feedback information.
9. The ATE-based switched capacitor filter tuning system of claim 8, further comprising:
the data processing module is used for outputting a signal distribution curve;
and the image processing module is used for outputting a signal image according to the signal distribution curve.
10. A computer readable medium, having stored thereon a computer program, wherein the program when executed by a processor implements an ATE-based switched capacitor filter tuning method according to any one of claims 1 to 7.
CN202311544142.XA 2023-11-20 2023-11-20 ATE-based switched capacitor filter adjustment and measurement method, system and storage medium Pending CN117330939A (en)

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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201298058Y (en) * 2008-10-30 2009-08-26 武汉大学 High integration density programmed filter analysis device based on field programmable gate array (FPGA)
US20130113449A1 (en) * 2011-11-04 2013-05-09 Stefano Pietri Testing a Switched Mode Supply with Waveform Generator and Capture Channel
US20190162785A1 (en) * 2017-11-29 2019-05-30 Electronics And Telecommunications Research Institute Apparatus and method for monitoring performance of power line filter
CN114124032A (en) * 2020-08-28 2022-03-01 罗克韦尔自动化技术公司 System and method for testing filters in redundant signal paths
CN115361326A (en) * 2022-08-26 2022-11-18 天津振海科技有限公司 Debugging system and debugging method for miniature numerical control electrically tunable filter
CN115902487A (en) * 2022-12-09 2023-04-04 中国地质大学(武汉) Microwave filter debugging method for knowledge-driven particle swarm optimization
CN115983165A (en) * 2021-10-15 2023-04-18 中车株洲电力机车研究所有限公司 Performance test method and performance test device of LMS adaptive filter
CN116047172A (en) * 2022-10-26 2023-05-02 中国船舶重工集团公司第七一九研究所 Power filter insertion loss on-line test computing system
CN116567513A (en) * 2023-05-24 2023-08-08 西安外国语大学 Stereo earphone testing method and system based on filter

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201298058Y (en) * 2008-10-30 2009-08-26 武汉大学 High integration density programmed filter analysis device based on field programmable gate array (FPGA)
US20130113449A1 (en) * 2011-11-04 2013-05-09 Stefano Pietri Testing a Switched Mode Supply with Waveform Generator and Capture Channel
US20190162785A1 (en) * 2017-11-29 2019-05-30 Electronics And Telecommunications Research Institute Apparatus and method for monitoring performance of power line filter
CN114124032A (en) * 2020-08-28 2022-03-01 罗克韦尔自动化技术公司 System and method for testing filters in redundant signal paths
CN115983165A (en) * 2021-10-15 2023-04-18 中车株洲电力机车研究所有限公司 Performance test method and performance test device of LMS adaptive filter
CN115361326A (en) * 2022-08-26 2022-11-18 天津振海科技有限公司 Debugging system and debugging method for miniature numerical control electrically tunable filter
CN116047172A (en) * 2022-10-26 2023-05-02 中国船舶重工集团公司第七一九研究所 Power filter insertion loss on-line test computing system
CN115902487A (en) * 2022-12-09 2023-04-04 中国地质大学(武汉) Microwave filter debugging method for knowledge-driven particle swarm optimization
CN116567513A (en) * 2023-05-24 2023-08-08 西安外国语大学 Stereo earphone testing method and system based on filter

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