Gaussian white noise signal generation method, error calibration method and related equipment

Abstract

The invention relates to a Gaussian white noise signal generation method, an error calibration method and related equipment, and relates to the technical field of signal processing. A specific embodiment of the method comprises the following steps: acquiring an initial sequence, and performing clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in a digital form; performing digital-to-analog conversion processing on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; and performing output frequency adjustment on the Gaussian white noise analog signal to output a Gaussian white noise signal comprising a plurality of target frequency bands. According to the implementation mode, the Gaussian white noise signal with the adjustable frequency is rapidly generated, so that the Gaussian white noise signal meets the calibration requirement of the phase noise measurement error, and the measurement error calibration effect is further improved.

Description

Technical Field

[0001] The present application relates to the field of signal processing technology, and in particular to a method for generating a Gaussian white noise signal, a method for calibrating a phase noise measurement error based on a Gaussian white noise signal, and related equipment. Background Art

[0002] The Gaussian in Gaussian white noise refers to the probability distribution is a normal function, white noise means that its second-order moment is uncorrelated, and the first-order moment is a constant, which refers to the temporal correlation of successive signals. Gaussian white noise has a wide range of applications in signal processing, channel analysis, and automatic testing due to its characteristics of stable energy spectral density. In real environments, noise is often not caused by a single source, but a complex of noise from many different sources. Assuming that we regard real noise as the sum of many random variables with different probability distributions, and each random variable is independent, then as the number of noise sources increases, it approaches a Gaussian distribution. Based on this assumption, the synthetic Gaussian white noise is used to achieve approximate simulation.

[0003] With the development of communication, radar and other related technologies, phase noise has become an important performance indicator to be considered in the design of complete systems, frequency sources and various two-port frequency control and conversion components. In the test scenario of the phase noise test system, the introduction of Gaussian white noise can calibrate the measurement errors introduced by factors such as the loop characteristics of the system itself and the uneven frequency response characteristics of the signal processing path, thereby improving the accuracy of phase noise measurement. However, how to quickly generate Gaussian white noise with adjustable frequency that meets the requirements of phase noise measurement error calibration is a problem that needs to be solved urgently.

[0004] Currently, no effective solution has been proposed to address the problem that the generation efficiency of Gaussian white noise in related technologies is low and the frequency adjustability is poor, which makes it difficult to meet the calibration requirements of phase noise measurement errors, leading to poor phase noise measurement error calibration effects and long testing times. Summary of the invention

[0005] The embodiments of the present invention provide a method for generating a Gaussian white noise signal, a method for calibrating a phase noise measurement error based on a Gaussian white noise signal, and related equipment, which at least solve the problem in the related art that the generation efficiency of Gaussian white noise is low, the frequency adjustability is poor, and it is difficult to meet the requirements for phase noise measurement error calibration, which in turn leads to poor phase noise measurement error calibration effect and long testing time.

[0006] In order to solve the above problem, one aspect of an embodiment of the present invention provides a method for generating a Gaussian white noise signal, comprising:

[0007] An initial sequence is obtained, and clock frequency division processing is performed on the initial sequence to obtain a Gaussian white noise sequence in digital form;

[0008] Performing digital-to-analog conversion on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal;

[0009] The output frequency of the Gaussian white noise analog signal is adjusted to output a Gaussian white noise signal containing multiple target frequency bands.

[0010] In some embodiments, the step of performing clock division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form includes:

[0011] Obtaining a target frequency band corresponding to the Gaussian white noise signal to be generated, and determining a frequency division ratio based on the target frequency band;

[0012] The initial sequence is subjected to clock frequency division processing based on the frequency division ratio to obtain a Gaussian white noise sequence in digital form.

[0013] In some embodiments, the step of performing digital-to-analog conversion on the Gaussian white noise sequence further includes:

[0014] Obtain an external clock signal, and perform counting and frequency division processing on the external clock signal to obtain a frequency division signal;

[0015] The clock frequency corresponding to the digital-to-analog conversion process is determined according to the frequency-divided signal, so as to perform digital-to-analog conversion on the Gaussian white noise sequence according to the clock frequency.

[0016] In some of the embodiments, the frequency range of the target frequency band of the Gaussian white noise signal is [0.01 Hz, 100 MHz].

[0017] In order to solve the above problem, another aspect of the embodiments of the present invention provides a phase noise measurement error calibration method based on a Gaussian white noise signal, using a Gaussian white noise signal generated by any of the above embodiments; the method comprises:

[0018] Obtaining a measurement error calibration requirement of a phase noise measurement system, adjusting the frequency of a Gaussian white noise signal based on a noise frequency band indicated by the measurement error calibration requirement, and adjusting the power of the Gaussian white noise signal based on a calibration power indicated by the measurement error calibration requirement, so as to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement;

[0019] The target Gaussian white noise signal is input into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system.

[0020] In some embodiments, the step of inputting a target Gaussian white noise signal into a phase noise measurement system to calibrate a phase noise measurement error of the phase noise measurement system includes:

[0021] Inputting the target Gaussian white noise signal into a phase-locked loop of a phase noise measurement system to calibrate a first phase noise measurement error generated by the phase-locked loop; and / or,

[0022] The target Gaussian white noise signal is input into the baseband signal processing path of the phase noise measurement system to calibrate the second phase noise measurement error generated by the baseband signal processing path.

[0023] In order to solve the above problem, one aspect of an embodiment of the present invention provides a device for generating a Gaussian white noise signal, the device comprising:

[0024] An acquisition module is used to acquire an initial sequence and perform clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form;

[0025] A digital-to-analog conversion module is used to perform digital-to-analog conversion on a Gaussian white noise sequence to obtain a Gaussian white noise analog signal;

[0026] The Gaussian white noise signal generating module is used to adjust the output frequency of the Gaussian white noise analog signal to output a Gaussian white noise signal containing multiple target frequency bands.

[0027] In order to solve the above problem, one aspect of an embodiment of the present invention provides a phase noise measurement error calibration device based on a Gaussian white noise signal, wherein the device adopts a Gaussian white noise signal generated by any one of the above embodiments; the device comprises:

[0028] A signal processing module, used for obtaining a measurement error calibration requirement of a phase noise measurement system, adjusting the frequency of a Gaussian white noise signal based on a noise frequency band indicated by the measurement error calibration requirement, and adjusting the power of the Gaussian white noise signal based on a calibration power indicated by the measurement error calibration requirement, so as to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement;

[0029] The error calibration module is used to input a target Gaussian white noise signal into a phase noise measurement system to calibrate a phase noise measurement error of the phase noise measurement system.

[0030] In order to solve the above problems, one aspect of an embodiment of the present invention provides an electronic device, including: a processor, and a memory for storing a program, the program including instructions, which, when executed by the processor, enable the processor to execute any of the above-mentioned methods for generating a Gaussian white noise signal or any of the above-mentioned methods for calibrating a phase noise measurement error based on a Gaussian white noise signal.

[0031] In order to solve the above problems, one aspect of an embodiment of the present invention provides a non-transitory machine-readable medium storing computer instructions, characterized in that the computer instructions are used to enable a computer to execute any of the above-mentioned methods for generating a Gaussian white noise signal or any of the above-mentioned methods for calibrating a phase noise measurement error based on a Gaussian white noise signal.

[0032] The beneficial effects of the embodiments of the present invention are as follows: by obtaining an initial sequence, performing clock division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form; performing digital-to-analog conversion processing on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; and adjusting the output frequency of the Gaussian white noise analog signal to output a Gaussian white noise signal containing multiple target frequency bands. The technical means overcomes the low efficiency of generating Gaussian white noise and poor frequency adjustability in the related art, which makes it difficult to meet the calibration requirements of the phase noise measurement error, and thus leads to poor calibration effect of the phase noise measurement error and long testing time. The invention realizes the combination of digital-to-analog conversion processing to generate a frequency-adjustable low-frequency band Gaussian white noise signal, thereby improving the generation efficiency of Gaussian white noise, and the frequency-adjustable Gaussian white noise signal can meet the calibration requirements of the phase noise measurement error, thereby improving the error calibration effect, shortening the test time of the phase noise measurement system, and saving the test cost.

[0033] The details of one or more embodiments of the invention are set forth in the following drawings and description so that other features, objects, and advantages of the invention are more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other embodiments can be obtained based on these drawings without creative work.

[0035] Figure 1 It is a flowchart of a method for generating a Gaussian white noise signal according to an embodiment of the present invention.

[0036] Figure 2 It is a flowchart of a phase noise measurement error calibration method based on a Gaussian white noise signal according to an embodiment of the present invention.

[0037] Figure 3a It is a schematic diagram of the framework of a device for generating a Gaussian white noise signal provided by an embodiment of the present invention.

[0038] Figure 3b yes Figure 3a Schematic diagram of the connections of the components corresponding to the device shown.

[0039] Figure 4 It is a schematic diagram of the framework of a phase noise measurement error calibration device based on a Gaussian white noise signal according to an embodiment of the present invention.

[0040] Figure 5 Schematic diagram of the structure of the electronic device of this embodiment. DETAILED DESCRIPTION

[0041] Embodiments of the present embodiment will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present embodiment are shown in the accompanying drawings, it should be understood that the present embodiment can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein, which are instead provided for a more thorough and complete understanding of the present embodiment. It should be understood that the drawings and embodiments of the present embodiment are only for exemplary purposes and are not intended to limit the scope of protection of the present embodiment.

[0042] Phase noise is an important performance indicator that needs to be considered in the design of complete systems, frequency sources, and various two-port frequency control and conversion components. In the test scenario of the phase noise test system, the introduction of Gaussian white noise can calibrate the measurement errors introduced by factors such as the loop characteristics of the system itself and the uneven frequency response characteristics of the signal processing path, thereby improving the accuracy of phase noise measurement. However, how to quickly generate Gaussian white noise with adjustable frequency that meets the requirements of phase noise measurement error calibration is an urgent problem that needs to be solved.

[0043] In order to solve the above problems, the embodiment of the present invention provides a method for generating a Gaussian white noise signal, such as Figure 1 As shown, the method for generating the Gaussian white noise signal mainly includes:

[0044] Step S101 , obtaining an initial sequence, and performing clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form.

[0045] The initial sequence provided in the embodiment of the present invention is pre-stored in a DDR (DDR = Double Data Rate, DDR SDRAM = Double Data Rate Synchronous Dynamic Random Access Memory, commonly known as DDR, where SDRAM is the abbreviation of Synchronous Dynamic Random Access Memory) memory chip. In specific implementation, the initial sequence is directly obtained from the DDR memory chip to process the initial chip to obtain a Gaussian white noise sequence in digital form.

[0046] Among them, the operation of clock frequency division processing of the initial sequence provided by the embodiment of the present invention can be executed by an FPGA (Field Programmable Gate Array. It appears as a semi-custom circuit in the field of application-specific integrated circuits, which not only solves the shortcomings of custom circuits, but also overcomes the shortcomings of the limited number of gate circuits of the original programmable device) control chip. Since the method of simulating Gaussian white noise signals used in the related art is difficult to achieve the generation of low-frequency Gaussian white noise signals, the embodiment of the present invention first generates a Gaussian white noise sequence in digital form, and then generates the required frequency-adjustable Gaussian white noise signal based on the Gaussian white noise sequence in digital form through digital-to-analog conversion. The Gaussian white noise signal generated in digital form has the characteristics of adjustable frequency and frequency band range, convenient use, and good flexibility. The above method improves the generation efficiency of Gaussian white noise signals and ensures the frequency adjustability of the generated Gaussian white noise.

[0047] According to a specific implementation of an embodiment of the present invention, the FPGA chip obtains an initial sequence from a DDR memory chip, performs clock division processing on the initial sequence, and uses an iterative method to generate a Gaussian white noise sequence in digital form. After generating the Gaussian white noise sequence in digital form, it also includes: the steps of performing preliminary frequency adjustment and digital filtering processing on the Gaussian white noise sequence. Through the above settings, the quality of the generated Gaussian white noise is further guaranteed, and it is guaranteed that the subsequently generated Gaussian white noise signal can meet the measurement error calibration requirements. At the same time, after the step of obtaining the initial sequence from the DDR memory chip, the above method also includes: updating the initial sequence in the DDR memory chip so that it meets the characteristics of the stable energy spectrum density of Gaussian white noise.

[0048] In some of the embodiments, the step of performing clock division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form includes: obtaining a target frequency band corresponding to the Gaussian white noise signal to be generated, and determining a frequency division ratio based on the target frequency band; performing clock division processing on the initial sequence based on the frequency division ratio to obtain a Gaussian white noise sequence in digital form.

[0049] Among them, when the output signal frequency band (i.e., the target frequency band of the generated Gaussian white noise signal) is small, the value of the frequency division ratio can be increased; when the output signal frequency band (i.e., the target frequency band of the generated Gaussian white noise signal) is large, the value of the frequency division ratio can be reduced. The above adjustment of the frequency division ratio value is helpful for the subsequent generation of a Gaussian white noise signal with an adjustable frequency range, so that it meets the calibration requirements of the phase noise measurement error.

[0050] Step S102, performing digital-to-analog conversion processing on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal.

[0051] The digital-to-analog conversion process provided in the embodiment of the present invention is performed based on a DAC (Digital Analog Converter, digital-to-analog conversion chip). By converting a Gaussian white noise sequence in digital form into a desired frequency-adjustable Gaussian white noise signal through a digital-to-analog conversion process, the efficiency of generating the Gaussian white noise signal is improved, and the frequency adjustability of the generated Gaussian white noise is ensured.

[0052] In some of the embodiments, the step of performing digital-to-analog conversion on the Gaussian white noise sequence further includes: obtaining an external clock signal, performing counting and frequency division processing on the external clock signal to obtain a divided frequency signal; determining a clock frequency corresponding to the digital-to-analog conversion processing according to the divided frequency signal, so as to perform digital-to-analog conversion processing on the Gaussian white noise sequence according to the clock frequency.

[0053] According to an embodiment of the present invention, by counting and dividing the external clock signal and then controlling the clock frequency of the digital-to-analog conversion chip according to the divided signal, it helps to reduce the amount of data of the required Gaussian white noise sequence, thereby reducing the required data processing amount, saving hardware resources, further improving the efficiency of generating Gaussian white noise signals, and also helping to improve the quality and real-time performance of signal generation.

[0054] Step S103 , adjusting the output frequency of the Gaussian white noise simulation signal to output a Gaussian white noise signal containing multiple target frequency bands.

[0055] The output frequency adjustment of the Gaussian white noise analog signal provided by the embodiment of the present invention can be performed by an analog attenuator. By adjusting the output frequency of the Gaussian white noise analog signal, the diverse needs of users can be adaptively met, so that the generated Gaussian white noise signal can meet the calibration requirements of the phase noise measurement error, improve the error calibration effect, and shorten the test time of the phase noise measurement system.

[0056] In some of the embodiments, the frequency range of the target frequency band of the Gaussian white noise signal is [0.01 Hz, 100 MHz].

[0057] The above provides a frequency range of the target frequency band corresponding to the low-frequency Gaussian white noise. It should be noted that the above numerical values ​​are not intended to limit the embodiments of the present invention, but are a frequency range provided by a low-frequency Gaussian white noise signal indicated by a measurement error calibration requirement of a phase noise measurement system. It can be understood that if the frequency range indicated by the measurement error calibration requirement of the phase noise measurement system changes, the present invention can generate a Gaussian white noise signal of the corresponding frequency to meet the error calibration requirement.

[0058] The above-mentioned Gaussian white noise signal generation method provided by the embodiment of the present invention obtains an initial sequence, performs clock division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form; performs digital-to-analog conversion processing on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; and adjusts the output frequency of the Gaussian white noise analog signal to output a Gaussian white noise signal containing multiple target frequency bands. The technical means overcomes the low efficiency of Gaussian white noise generation and poor frequency adjustability in the related art, which makes it difficult to meet the calibration requirements of the phase noise measurement error, thereby resulting in poor phase noise measurement error calibration effect and long testing time. It realizes the combination of digital-to-analog conversion processing to generate a frequency-adjustable low-frequency band Gaussian white noise signal, thereby improving the generation efficiency of Gaussian white noise, and the frequency-adjustable Gaussian white noise signal can meet the calibration requirements of the phase noise measurement error, thereby improving the error calibration effect, shortening the test time of the phase noise measurement system, and saving the test cost.

[0059] The embodiment of the present invention further provides a phase noise measurement error calibration method based on a Gaussian white noise signal, using a Gaussian white noise signal generated by any of the above embodiments. Figure 2 As shown, the phase noise measurement error calibration method based on Gaussian white noise signal provided in the embodiment of the present invention mainly includes:

[0060] Step S201, obtain the measurement error calibration requirement of the phase noise measurement system, adjust the frequency of the Gaussian white noise signal based on the noise frequency band indicated by the measurement error calibration requirement, and adjust the power of the Gaussian white noise signal based on the calibration power indicated by the measurement error calibration requirement to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement.

[0061] In the test scenario of the phase noise test system, measurement errors will be introduced due to factors such as the system's own loop characteristics and the uneven frequency response characteristics of the signal processing path. Therefore, the measurement error needs to be calibrated to improve the accuracy of the phase noise measurement.

[0062] Through the above settings, before the generated low-frequency Gaussian white noise signal (the frequency range corresponding to the low-frequency band ∈ [0.01Hz, 100MHz]) is input into the phase noise measurement system, the frequency range of the Gaussian white noise signal is further adjusted in combination with the calibration requirements, which can further improve the error calibration effect, thereby shortening the test time of the phase noise measurement system, saving test costs, and improving the accuracy of phase noise measurement.

[0063] Step S202: inputting a target Gaussian white noise signal into a phase noise measurement system to calibrate a phase noise measurement error of the phase noise measurement system.

[0064] In some of the embodiments, the step of inputting the target Gaussian white noise signal into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system includes: inputting the target Gaussian white noise signal into the phase-locked loop of the phase noise measurement system to calibrate the first phase noise measurement error generated by the phase-locked loop; and / or, inputting the target Gaussian white noise signal into the baseband signal processing path of the phase noise measurement system to calibrate the second phase noise measurement error generated by the baseband signal processing path.

[0065] The embodiment of the present invention can realize the calibration operation of the measurement error introduced by the loop characteristics of the system itself and the uneven frequency response characteristics of the signal processing path in the phase noise measurement system based on the low-frequency band Gaussian white noise signal with adjustable frequency generated quickly in the above embodiment, thereby shortening the system test time and improving the accuracy of the phase noise measurement.

[0066] The above-mentioned phase noise measurement error calibration method based on Gaussian white noise signal provided in the embodiment of the present invention adopts the method of obtaining the measurement error calibration requirement of the phase noise measurement system, adjusting the frequency of the Gaussian white noise signal based on the noise frequency band indicated by the measurement error calibration requirement, and adjusting the power of the Gaussian white noise signal based on the calibration power indicated by the measurement error calibration requirement, so as to obtain the target Gaussian white noise signal that meets the measurement error calibration requirement; the target Gaussian white noise signal is input into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system. The Gaussian white noise signal input into the phase noise measurement system is frequency-adjustable and generated quickly, thereby improving the measurement error calibration effect, improving the calibration efficiency, shortening the test time of the phase noise measurement system, saving the test cost, and thus improving the accuracy of the phase noise measurement.

[0067] Based on the above-mentioned method for generating a Gaussian white noise signal provided by an embodiment of the present invention, an embodiment of the present invention further provides a device for generating a Gaussian white noise signal, such as Figure 3a As shown, the Gaussian white noise signal generating device 300 includes:

[0068] The acquisition module 301 is used to acquire an initial sequence and perform clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form.

[0069] The initial sequence provided in the embodiment of the present invention is pre-stored in a DDR memory chip. In specific implementation, the initial sequence is directly obtained from the DDR memory chip to process the initial chip to obtain a Gaussian white noise sequence in digital form.

[0070] Among them, the operation of clock frequency division processing on the initial sequence provided by the embodiment of the present invention can be executed by the FPGA control chip. Since the method of simulating Gaussian white noise signal used in the related art is difficult to achieve the generation of low-frequency Gaussian white noise signal, the embodiment of the present invention first generates a Gaussian white noise sequence in digital form, and then generates the required frequency-adjustable Gaussian white noise signal based on the Gaussian white noise sequence in digital form through digital-to-analog conversion processing, thereby improving the generation efficiency of Gaussian white noise signal and ensuring the frequency adjustability of the generated Gaussian white noise.

[0071] In some of the embodiments, the acquisition module 301 is further used to: acquire a target frequency band corresponding to the Gaussian white noise signal to be generated, and determine a frequency division ratio based on the target frequency band; perform clock division processing on the initial sequence based on the frequency division ratio to obtain a Gaussian white noise sequence in digital form.

[0072] Among them, when the output signal frequency band (i.e., the target frequency band of the generated Gaussian white noise signal) is small, the value of the frequency division ratio can be increased; when the output signal frequency band (i.e., the target frequency band of the generated Gaussian white noise signal) is large, the value of the frequency division ratio can be reduced. The above adjustment of the frequency division ratio value is helpful for the subsequent generation of a Gaussian white noise signal with an adjustable frequency range, so that it meets the calibration requirements of the phase noise measurement error.

[0073] The digital-to-analog conversion module 302 is used to perform digital-to-analog conversion on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal.

[0074] The digital-to-analog conversion process provided in the embodiment of the present invention is performed based on a DAC digital-to-analog conversion chip. By converting a Gaussian white noise sequence in digital form into a desired frequency-adjustable Gaussian white noise signal through a digital-to-analog conversion process, the efficiency of generating the Gaussian white noise signal is improved, and the frequency adjustability of the generated Gaussian white noise is ensured.

[0075] In some of the embodiments, the digital-to-analog conversion module 302 is further used to: obtain an external clock signal, perform counting and frequency division processing on the external clock signal to obtain a frequency division signal; determine a clock frequency corresponding to the digital-to-analog conversion processing according to the frequency division signal, and perform digital-to-analog conversion processing on the Gaussian white noise sequence according to the clock frequency.

[0076] According to an embodiment of the present invention, by counting and dividing the external clock signal and then controlling the clock frequency of the digital-to-analog conversion chip according to the divided signal, it helps to reduce the amount of data required to generate a Gaussian white noise sequence, thereby reducing the required data processing amount and further improving the efficiency of generating Gaussian white noise signals.

[0077] The Gaussian white noise signal generating module 303 is used to adjust the output frequency of the Gaussian white noise analog signal to output a Gaussian white noise signal containing multiple target frequency bands.

[0078] Among them, the output frequency adjustment of the Gaussian white noise analog signal provided by the embodiment of the present invention can be performed by an analog attenuator. By adjusting the output frequency of the Gaussian white noise analog signal, the diverse needs of users can be adaptively met, so that the generated Gaussian white noise signal can meet the calibration requirements of the phase noise measurement error, improve the error calibration effect, and shorten the test time of the phase noise measurement system.

[0079] In some of the embodiments, the frequency range of the target frequency band of the Gaussian white noise signal is [0.01 Hz, 100 MHz].

[0080] The above provides a frequency range of the target frequency band corresponding to the low-frequency Gaussian white noise. It should be noted that the above numerical values ​​are not intended to limit the embodiments of the present invention, but are a frequency range provided by a low-frequency Gaussian white noise signal indicated by a measurement error calibration requirement of a phase noise measurement system. It can be understood that if the frequency range indicated by the measurement error calibration requirement of the phase noise measurement system changes, the present invention can generate a Gaussian white noise signal of the corresponding frequency to meet the error calibration requirement.

[0081] According to a specific implementation of the embodiment of the present invention, Figure 3b As shown, first, the FPGA chip counts and divides the external clock signal, and the divided signal is used as the clock signal of the DAC digital-to-analog conversion chip to control the clock frequency of the DAC chip, thereby reducing the data volume of the required Gaussian white noise signal sequence.

[0082] During the generation of Gaussian white noise signals, FPGA reads the pre-stored initial sequence data from the DDR memory chip, obtains the Gaussian white noise sequence in digital form through data iteration, performs initial power adjustment and digital filtering on the Gaussian white noise sequence, and sends it to the DAC digital-to-analog conversion chip, while updating the data in the DDR memory chip. The digital-to-analog conversion chip DAC converts the digital Gaussian white noise sequence into an analog signal, which is then adjusted again in power by an analog attenuator, and outputs Gaussian white noise signals of different frequency bands in the range of 0.01Hz to 100MHz.

[0083] The above-mentioned Gaussian white noise signal generation device provided by the embodiment of the present invention obtains an initial sequence, performs clock division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form; performs digital-to-analog conversion processing on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; and adjusts the output frequency of the Gaussian white noise analog signal to output a Gaussian white noise signal containing multiple target frequency bands. The technical means overcomes the low efficiency of Gaussian white noise generation and poor frequency adjustability in the related art, which makes it difficult to meet the calibration requirements of the phase noise measurement error, thereby resulting in poor phase noise measurement error calibration effect and long testing time. It realizes the combination of digital-to-analog conversion processing to generate a frequency-adjustable Gaussian white noise signal, thereby improving the efficiency of Gaussian white noise generation, and the frequency-adjustable Gaussian white noise signal can meet the calibration requirements of the phase noise measurement error, improves the error calibration effect, shortens the test time of the phase noise measurement system, and saves the test cost.

[0084] Based on the above-mentioned phase noise measurement error calibration method based on Gaussian white noise signal provided by the embodiment of the present invention, the embodiment of the present invention also provides a phase noise measurement error calibration device based on Gaussian white noise signal, such as Figure 4 As shown, the phase noise measurement error calibration device 400 based on Gaussian white noise signal includes:

[0085] The signal processing module 401 is used to obtain the measurement error calibration requirement of the phase noise measurement system, adjust the frequency of the Gaussian white noise signal based on the noise frequency band indicated by the measurement error calibration requirement, and adjust the power of the Gaussian white noise signal based on the calibration power indicated by the measurement error calibration requirement, so as to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement.

[0086] In the development scenario of the phase noise test system, measurement errors will be introduced due to factors such as the system's own loop characteristics and the uneven frequency response characteristics of the signal processing path. Therefore, the measurement error needs to be calibrated to improve the accuracy of the phase noise measurement.

[0087] Through the above settings, before the generated low-frequency Gaussian white noise signal (the frequency range of the low-frequency band ∈ [0.01Hz, 100MHz]) is input into the phase noise measurement system, the frequency range of the Gaussian white noise signal is further adjusted in combination with the calibration requirements, which can further improve the error calibration effect, thereby shortening the test time of the phase noise measurement system, saving test costs, and improving the accuracy of phase noise measurement.

[0088] The error calibration module 402 is used to input the target Gaussian white noise signal into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system.

[0089] In some of the embodiments, the error calibration module 402 is further used to: input the target Gaussian white noise signal into the phase-locked loop of the phase noise measurement system to calibrate the first phase noise measurement error generated by the phase-locked loop; and / or, input the target Gaussian white noise signal into the baseband signal processing path of the phase noise measurement system to calibrate the second phase noise measurement error generated by the baseband signal processing path.

[0090] The embodiment of the present invention can realize the calibration operation of the measurement error introduced by the loop characteristics of the system itself and the uneven frequency response characteristics of the signal processing path in the phase noise measurement system based on the low-frequency band Gaussian white noise signal with adjustable frequency generated quickly based on the above-mentioned embodiment, thereby shortening the system test time, reducing the test cost and improving the accuracy of the phase noise measurement.

[0091] The above-mentioned phase noise measurement error calibration device based on Gaussian white noise signal provided in the embodiment of the present invention adopts the method of obtaining the measurement error calibration requirement of the phase noise measurement system, adjusting the frequency of the Gaussian white noise signal based on the noise frequency band indicated by the measurement error calibration requirement, and adjusting the power of the Gaussian white noise signal based on the calibration power indicated by the measurement error calibration requirement, so as to obtain the target Gaussian white noise signal that meets the measurement error calibration requirement; the target Gaussian white noise signal is input into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system. The Gaussian white noise signal input into the phase noise measurement system is frequency-adjustable and generated quickly, thereby improving the measurement error calibration effect, improving the calibration efficiency, shortening the test time of the phase noise measurement system, saving the test cost, and thus improving the accuracy of the phase noise measurement.

[0092] An embodiment of the present invention further provides an electronic device, comprising: at least one processor; and a memory in communication with the at least one processor. The memory stores a computer program executable by the at least one processor, and when the computer program is executed by the at least one processor, the electronic device executes the method of the embodiment of the present invention.

[0093] An embodiment of the present invention further provides a non-transitory machine-readable medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to execute the method of the embodiment of the present invention.

[0094] An embodiment of the present invention further provides a computer program product, including a computer program, wherein the computer program, when executed by a processor of a computer, is used to enable the computer to execute the method of the embodiment of the present invention.

[0095] refer to Figure 5, a block diagram of an electronic device that can be used as a server or client of an embodiment of the present invention will now be described, which is an example of a hardware device that can be applied to various aspects of the present invention. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0096] like Figure 5 As shown, the electronic device includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0097] Multiple components in the electronic device are connected to the I / O interface 505, including: an input unit 506, an output unit 507, a storage unit 508, and a communication unit 509. The input unit 506 can be any type of device that can input information to the electronic device, and the input unit 506 can receive input digital or character information, and generate key signal input related to user settings and / or function control of the electronic device. The output unit 507 can be any type of device that can present information, and can include but is not limited to a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 508 can include but is not limited to a disk, an optical disk. The communication unit 509 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include but is not limited to a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0098] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a CPU, a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 501 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention may be implemented as a computer program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via a ROM 502 and / or a communication unit 509. In some embodiments, the computing unit 501 may be configured to perform the above-described method in any other appropriate manner (e.g., by means of firmware).

[0099] The computer programs for implementing the methods of the embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer programs are executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer programs may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0100] In the context of an embodiment of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0101] It should be noted that the term "including" and its variations used in the embodiments of the present invention are open inclusions, that is, "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "multiple" mentioned in the embodiments of the present invention are illustrative rather than restrictive. Those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more".

[0102] The various steps described in the method implementation methods provided in the embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method implementation methods may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0103] The term "embodiment" in this specification refers to specific features, structures or characteristics described in conjunction with the embodiment that can be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. The various embodiments in this specification are described in a related manner, and the same or similar parts between the various embodiments refer to each other. In particular, for the device, equipment, and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts refer to the partial description of the method embodiment.

[0104] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the attached claims.

Claims

1. A method for generating a Gaussian white noise signal, characterized in that: include: Acquire an initial sequence, and perform clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form; Performing digital-to-analog conversion on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; The output frequency of the Gaussian white noise analog signal is adjusted to output a Gaussian white noise signal containing multiple target frequency bands.

2. The method according to claim 1, characterized in that The step of performing clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form comprises: Acquire a target frequency band corresponding to the Gaussian white noise signal to be generated, and determine a frequency division ratio based on the target frequency band; The initial sequence is subjected to clock frequency division processing based on the frequency division ratio to obtain a Gaussian white noise sequence in digital form.

3. The method according to claim 1, characterized in that The step of performing digital-to-analog conversion processing on the Gaussian white noise sequence also includes: Acquire an external clock signal, and perform counting and frequency division processing on the external clock signal to obtain a frequency division signal; A clock frequency corresponding to the digital-to-analog conversion process is determined according to the frequency-divided signal, so as to perform digital-to-analog conversion on the Gaussian white noise sequence according to the clock frequency.

4. The method according to claim 1, characterized in that The frequency range of the target frequency band of the Gaussian white noise signal is ∈ [0.01 Hz, 100 MHz].

5. A phase noise measurement error calibration method based on Gaussian white noise signal, characterized in that: A Gaussian white noise signal generated by any one of claims 1 to 4; the method comprising: Acquire a measurement error calibration requirement of a phase noise measurement system, perform frequency adjustment on the Gaussian white noise signal based on a noise frequency band indicated by the measurement error calibration requirement, and perform power adjustment on the Gaussian white noise signal based on a calibration power indicated by the measurement error calibration requirement, so as to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement; The target Gaussian white noise signal is input into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system.

6. The method according to claim 5, characterized in that: The step of inputting the target Gaussian white noise signal into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system includes: Inputting the target Gaussian white noise signal into the phase-locked loop of the phase noise measurement system to calibrate the first phase noise measurement error generated by the phase-locked weight loop; and / or, The target Gaussian white noise signal is input into a baseband signal processing path of the phase noise measurement system to calibrate a second phase noise measurement error generated by the baseband signal processing path.

7. A device for generating a Gaussian white noise signal, characterized in that: The device comprises: An acquisition module, used for acquiring an initial sequence, and performing clock frequency division processing on the initial sequence to obtain a Gaussian white noise sequence in digital form; A digital-to-analog conversion module is used to perform digital-to-analog conversion on the Gaussian white noise sequence to obtain a Gaussian white noise analog signal; The Gaussian white noise signal generating module is used to adjust the output frequency of the Gaussian white noise simulation signal to output a Gaussian white noise signal containing multiple target frequency bands.

8. A phase noise measurement error calibration device based on Gaussian white noise signal, characterized in that: The device uses a Gaussian white noise signal generated by any one of claims 1 to 4; the device comprises: A signal processing module, used to obtain a measurement error calibration requirement of a phase noise measurement system, perform frequency adjustment on the Gaussian white noise signal based on a noise frequency band indicated by the measurement error calibration requirement, and perform power adjustment on the Gaussian white noise signal based on a calibration power indicated by the measurement error calibration requirement, so as to obtain a target Gaussian white noise signal that meets the measurement error calibration requirement; The error calibration module is used to input the target Gaussian white noise signal into the phase noise measurement system to calibrate the phase noise measurement error of the phase noise measurement system.

9. An electronic device, comprising: A processor, and a memory storing a program, wherein the program comprises instructions, which, when executed by the processor, cause the processor to perform the method according to any one of claims 1 to 6.

10. A non-transitory machine-readable medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-6.

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