Phase noise measurement method and device, electronic equipment and storage medium

Abstract

The invention provides a phase noise measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of test.The method comprises the steps that a signal to be tested is divided into a first signal and a second signal, frequency mixing processing is conducted on the first signal and a first reference signal, and a first real number signal is obtained; performing frequency mixing processing on the second path of signal and the second reference signal to obtain a second path of real number signal; splicing the first path of real number signal and the second path of real number signal to obtain a complex number signal; performing Fourier transform on the complex signal to obtain a frequency domain complex signal; separating a first frequency domain complex signal and a second frequency domain complex signal from the frequency domain complex signal; and performing cross-correlation operation on the first frequency domain complex signal and the second frequency domain complex signal to obtain a phase noise measurement result of the signal to be measured. According to the invention, Fourier transform is carried out on the complex signal, so that the data processing flow is simplified, the measurement efficiency is improved, and the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of testing technologies, and in particular, to a phase noise measurement method, apparatus, electronic device, and storage medium. Background Art

[0002] Phase noise, as an important parameter characterizing the spectral purity of a signal, directly determines core performance indicators such as the bit error rate of a communication system, the radar resolution, and the satellite navigation accuracy. In the trend of miniaturization and high frequency of radio frequency systems, phase noise measurement has become a key link in evaluating the reliability of electronic systems. Currently, the traditional cross-correlation method is used to measure phase noise, which has high complexity, consumes a large amount of processing resources, high cost, and low efficiency. Summary of the Invention

[0003] The present invention provides a phase noise measurement method, apparatus, electronic device, and storage medium to solve the defects in the prior art that the traditional cross-correlation method is used to measure phase noise, with high complexity, consuming a large amount of data processing resources, high cost, and low efficiency.

[0004] The present invention provides a phase noise measurement method, including: Dividing a signal to be measured into a first path signal and a second path signal, performing mixing processing on the first path signal and a first reference signal to obtain a first real number signal; performing mixing processing on the second path signal and a second reference signal to obtain a second real number signal; Splicing the first real number signal and the second real number signal to obtain a complex signal; Performing Fourier transform on the complex signal to obtain a complex signal in the frequency domain; Separating a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; Performing cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain a phase noise measurement result of the signal to be measured.

[0005] In some embodiments, the separating the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain includes: Inputting the complex signal in the frequency domain into a pre-constructed separation model to obtain the first complex signal in the frequency domain and the second complex signal in the frequency domain output by the separation model; Among them, the separation model is trained based on the sample frequency-domain complex signal, the first frequency-domain complex signal label corresponding to the first-channel sample real signal, and the second frequency-domain complex signal label corresponding to the second-channel sample real signal; the sample frequency-domain complex signal is obtained by performing a Fourier transform on the sample complex signal; the sample complex signal is obtained by splicing the first-channel sample real signal and the second-channel sample real signal.

[0006] In some embodiments, the first real signal and the second real signal are independent of each other.

[0007] In some embodiments, the cross-correlation operation on the first frequency-domain complex signal and the second frequency-domain complex signal to obtain the phase noise measurement result of the signal to be measured includes: Performing multiple cross-correlation operations on the first frequency-domain complex signal and the second frequency-domain complex signal to obtain multiple cross-correlation operation results; Calculating the integral average value of the multiple cross-correlation operation results to obtain the phase noise measurement result.

[0008] In some embodiments, the mixing process of the first signal and the first reference signal to obtain the first real signal includes: Performing phase-locked processing on the original first reference signal to obtain the first reference signal; Performing a mixing process on the first signal and the first reference signal to obtain a first mixed signal; Filtering and amplifying the first mixed signal to obtain a first phase noise signal, and performing analog-to-digital conversion on the first phase noise signal to obtain the first real signal.

[0009] In some embodiments, the mixing process of the second signal and the second reference signal to obtain the second real signal includes: Performing phase-locked processing on the original second reference signal to obtain the second reference signal; Performing a mixing process on the second signal and the second reference signal to obtain a second mixed signal; Filtering and amplifying the second mixed signal to obtain a second phase noise signal, and performing analog-to-digital conversion on the second phase noise signal to obtain the second real signal.

[0010] In some embodiments, the training process of the separation model includes: Obtaining a sample signal, a first sample reference signal, and a second sample reference signal; Dividing the sample signal into a first-channel sample signal and a second-channel sample signal; Mix the first path of sample signal and the first sample reference signal to obtain a first path of sample real signal; mix the second path of sample signal and the second sample reference signal to obtain a second path of sample real signal; Concatenate the first path of sample real signal and the second path of sample real signal to obtain a sample complex signal, and perform a Fourier transform on the sample complex signal to obtain a sample frequency-domain complex signal; Determine a first frequency-domain complex signal label corresponding to the first path of sample real signal, and determine a second frequency-domain complex signal label corresponding to the second path of sample real signal; Use the sample frequency-domain complex signal as a training sample, and use the first frequency-domain complex signal label and the second frequency-domain complex signal label as sample labels to train an initial separation model. After training is completed, obtain the separation model.

[0011] The present invention also provides a phase noise measurement device, including: A signal processing unit, configured to divide a signal to be measured into a first path of signal and a second path of signal, mix the first path of signal and a first reference signal to obtain a first path of real signal; mix the second path of signal and a second reference signal to obtain a second path of real signal; A concatenation unit, configured to concatenate the first path of real signal and the second path of real signal to obtain a complex signal; A Fourier transform unit, configured to perform a Fourier transform on the complex signal to obtain a frequency-domain complex signal; A separation unit, configured to separate a first frequency-domain complex signal and a second frequency-domain complex signal from the frequency-domain complex signal; A calculation unit, configured to perform a cross-correlation operation on the first frequency-domain complex signal and the second frequency-domain complex signal to obtain a phase noise measurement result of the signal to be measured.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the phase noise measurement method described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the phase noise measurement method described in any one of the above is implemented.

[0014] The phase noise measurement method, device, electronic device, and storage medium provided by the present invention divide a signal to be measured into a first signal path and a second signal path, perform mixing processing on the first signal path and a first reference signal to obtain a first real signal; perform mixing processing on the second signal path and a second reference signal to obtain a second real signal; splice the first real signal and the second real signal to obtain a complex signal; perform Fourier transform on the complex signal to obtain a complex signal in the frequency domain; separate a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; perform cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured, which simplifies the data processing flow, improves the measurement efficiency, reduces resource consumption, and lowers the hardware cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0016] Figure 1 is a schematic structural diagram of a single-stage cross-correlation processing module provided by the prior art.

[0017] Figure 2 is a schematic structural diagram of a phase noise measurement system provided by an embodiment of the present invention.

[0018] Figure 3 is a schematic flowchart of a phase noise measurement method provided by an embodiment of the present invention.

[0019] Figure 4 is a schematic flowchart of the training process of a separation model provided by an embodiment of the present invention.

[0020] Figure 5 is a schematic structural diagram of a phase noise measurement device provided by an embodiment of the present invention.

[0021] Figure 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0023] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.

[0024] In the prior art, a phase noise measurement system includes a device under test and two reference sources. The reference source signals are set to be in-phase and orthogonal to the device under test signal. The device under test signal is divided into two signals by a power splitter. Each path of the device under test signal and two independent reference signals are respectively mixed by a phase detector, and then the high-frequency components are filtered out by a low-pass filter to obtain the measured phase noise signal. The phase noise signal is amplified to a suitable power range by a low noise amplifier (LNA), and an analog-to-digital converter (ADC) chip is used to complete the conversion from an analog signal to a digital signal, obtaining two real signals. The two real signals are processed by a multi-stage cross-correlation processing module.

[0025] Figure 1 It is a schematic structural diagram of a single-stage cross-correlation processing module provided by the prior art. As Figure 1 shown, each stage of the cross-correlation processing module includes an overlap module, a windowing module, two fast Fourier transform (FFT) modules (i.e., FFT module 1 and FFT module 2), a cross-correlation module, and an integration module. The two FFT modules perform fast Fourier transform on the two real signals and to obtain the corresponding two frequency-domain complex signals and , where refers to the conjugate of. The resources consumed by the two FFT modules account for about 60% - 70% of each stage of the cross-correlation processing module. The multi-stage cross-correlation processing module requires a large amount of resources. When designing, a high-performance and large-capacity field programmable gate array (FPGA) chip needs to be selected as the core processor device, which will inevitably lead to higher power consumption, larger volume, and higher cost of the device.

[0026] The existing phase noise measurement systems and methods have the following defects: (1) The system is relatively complex and requires two independent, very clean, and electronically adjustable reference sources; (2) The cross-correlation calculation is relatively complex and requires consuming more processing resources; (3) It is very time-consuming to measure ultra-low phase noise; (4) The measured frequency bandwidth needs to match the adjustment range of the reference source.

[0027] For this reason, the embodiments of the present invention provide a phase noise measurement method, device, electronic device and storage medium. By dividing the signal to be measured into a first path signal and a second path signal, performing mixing processing on the first path signal and the first reference signal to obtain a first path real signal; performing mixing processing on the second path signal and the second reference signal to obtain a second path real signal; splicing the first path real signal and the second path real signal to obtain a complex signal; performing Fourier transform on the complex signal to obtain a frequency-domain complex signal; separating a first frequency-domain complex signal and a second frequency-domain complex signal from the frequency-domain complex signal; performing cross-correlation operation on the first frequency-domain complex signal and the second frequency-domain complex signal to obtain the phase noise measurement result of the signal to be measured. The present invention can simplify the data processing flow, improve the measurement efficiency, reduce resource consumption, and lower the hardware cost.

[0028] Figure 2 It is a schematic structural diagram of the phase noise measurement system provided by the embodiments of the present invention. As Figure 2 shown, the phase noise measurement system includes a splicing module, a fast Fourier transform module and a separation module. Two real signals and After being spliced by the splicing module, a complex signal is obtained. The complex signal After being processed by the fast Fourier transform module, a frequency-domain complex signal is obtained. The frequency-domain complex signal After being separated by the separation module, two real signals and The corresponding frequency-domain complex signals are obtained.

[0029] Figure 3 It is a schematic flow diagram of the phase noise measurement method provided by the embodiments of the present invention. As Figure 3 shown, a phase noise measurement method is provided, which is applied to the above phase noise measurement system, and includes the following steps: Step 310, Step 320, Step 330, Step 340 and Step 350. The flow steps of this method are only a possible implementation manner of the present invention.

[0030] Step 310: Divide the signal to be measured into a first path signal and a second path signal, perform mixing processing on the first path signal and the first reference signal to obtain a first path real signal; perform mixing processing on the second path signal and the second reference signal to obtain a second path real signal.

[0031] Among them, the signal to be measured includes, but is not limited to, sine wave signals, clock signals, radio frequency signals, and modulation signals.

[0032] Optionally, the phase of the first reference signal and the phase of the second reference signal differ by 90° (i.e., phase orthogonal).

[0033] Among them, a real signal refers to a signal whose value in the time domain is real, and its mathematical expression only contains a real part without an imaginary component.

[0034] Optionally, a power divider is used to divide the signal to be measured into a first path signal and a second path signal.

[0035] It should be noted that by dividing the signal to be measured into two path signals and mixing them with orthogonal reference signals respectively, the amplitude and phase information of the signal to be measured can be completely retained, avoiding the image frequency interference caused by single-channel processing.

[0036] Optionally, the first path signal and the first reference signal are mixed to obtain a first mixed signal, and after post-processing such as filtering, amplification, and analog-to-digital conversion of the first mixed signal, a first path real signal is obtained.

[0037] Optionally, the second path signal and the second reference signal are mixed to obtain a second mixed signal, and after post-processing such as filtering, amplification, and analog-to-digital conversion of the second mixed signal, a second path real signal is obtained.

[0038] Step 320: Concatenate the first path real signal and the second path real signal to obtain a complex signal.

[0039] Among them, a complex signal refers to a signal whose value in the time domain is complex, including a real part and an imaginary part.

[0040] Optionally, the first path real signal is used as the real part of the complex signal, and the second path real signal is used as the imaginary part of the complex signal.

[0041] Step 330: Perform a Fourier transform on the complex signal to obtain a complex signal in the frequency domain.

[0042] Among them, a complex signal in the frequency domain refers to a complex form representation obtained by converting a time domain signal to the frequency domain through a Fourier transform (such as FFT), and each frequency point contains amplitude and phase information.

[0043] Among them, the fast Fourier transform FFT is an algorithm for efficiently calculating the discrete Fourier transform (DFT), which is used to convert a time domain signal into a frequency domain representation.

[0044] It can be understood that by splicing the first real signal and the second real signal to obtain a complex signal, and performing a fast Fourier transform on the complex signal to obtain a complex signal in the frequency domain, the resource consumption of the FFT module can be reduced, and the hardware cost can be reduced.

[0045] Step 340: Separate the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain.

[0046] Among them, the first complex signal in the frequency domain corresponds to the first real signal, and the second complex signal in the frequency domain corresponds to the second real signal.

[0047] Optionally, the DFT result of the first real signal with a length of N is as follows: ; Wherein, is a natural number greater than 1, represents the th sampling point, is the frequency domain index, corresponding to the position of the frequency component, is the first complex signal in the frequency domain corresponding to the first real signal , is the rotation factor, used to project the time domain signal onto the orthogonal basis in the frequency domain, is the imaginary unit, is the base of the natural logarithm.

[0048] Since is a real number, therefore is conjugate symmetric about N / 2 in the complex domain, that is: , ; Wherein, refers to conjugate of, refers to the first complex signal in the frequency domain with a frequency domain index of .

[0049] Similarly, the DFT result of the second real signal with a length of N is as follows: ; Wherein, is the second complex signal in the frequency domain corresponding to the second real signal .

[0050] Since is a real number, therefore​​​ Conjugate symmetric about N / 2, i.e.: , ; where denotes the conjugate of and is the second frequency-domain complex signal with a frequency-domain index of

[0051] Optionally, the expression of the complex signal is: ; where is the complex signal.

[0052] Optionally, the expression of the frequency-domain complex signal is: ; In the above formula, represents the frequency-domain complex signal, represents the real part of the frequency-domain complex signal, represents the imaginary part of the frequency-domain complex signal; represents the real part of the first frequency-domain complex signal, represents the imaginary part of the first frequency-domain complex signal; represents the real part of the second frequency-domain complex signal, represents the imaginary part of the second frequency-domain complex signal.

[0053] Therefore, it can be deduced that: , ; , ; And = ; ; In the above two formulas , i.e. , and , represents the first frequency-domain complex signal with a frequency-domain index of 0, represents the second frequency-domain complex signal with a frequency-domain index of 0; represents the frequency-domain complex signal with a frequency-domain index of 0, is its imaginary part, is its real part; represents the NThe complex signal in the frequency domain, is its imaginary part, is its real part; denotes the imaginary part of the complex signal in the frequency domain with a frequency domain index of and denotes the real part of the complex signal in the frequency domain with a frequency domain index of After obtaining

[0054] and based on the complex conjugate symmetry of the sequence with respect to N / 2, it can be deduced that and thus two real sequences are obtained, which are the discrete Fourier transform results of .

[0055] Step 350: Perform a cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured.

[0056] Optionally, the phase noise measurement result includes a phase noise curve.

[0057] Optionally, visualize the phase noise measurement result.

[0058] In some embodiments, performing a cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured includes: Performing multiple cross-correlation operations on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain multiple cross-correlation operation results; Calculating the integral average value of the multiple cross-correlation operation results to obtain the phase noise measurement result.

[0059] In the embodiments of the present invention, by dividing the signal to be measured into a first signal and a second signal, performing a mixing process on the first signal and a first reference signal to obtain a first real signal; performing a mixing process on the second signal and a second reference signal to obtain a second real signal; splicing the first real signal and the second real signal to obtain a complex signal; performing a Fourier transform on the complex signal to obtain a complex signal in the frequency domain; separating the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain; performing a cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured, the data processing flow is simplified, the measurement efficiency is improved, the resource consumption is reduced, and the hardware cost is lowered.

[0060] In some embodiments, separating the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain includes: Input the frequency-domain complex signal into a pre-constructed separation model to obtain the first frequency-domain complex signal and the second frequency-domain complex signal output by the separation model; Among them, the separation model is trained based on the sample frequency-domain complex signal, the first frequency-domain complex signal label corresponding to the first path of sample real signal, and the second frequency-domain complex signal label corresponding to the second path of sample real signal; the sample frequency-domain complex signal is obtained by performing a Fourier transform on the sample complex signal; the sample complex signal is obtained by splicing the first path of sample real signal and the second path of sample real signal.

[0061] It can be understood that by using the pre-constructed separation model to predict the separation result of the frequency-domain complex signal, the efficiency and consistency of signal separation are improved, and the applicable range is expanded.

[0062] In some embodiments, the first path of real signal and the second path of real signal are independent of each other.

[0063] In some embodiments, mixing the first path of signal and the first reference signal to obtain the first path of real signal includes: Performing phase-locked processing on the original first reference signal to obtain the first reference signal; Mixing the first path of signal and the first reference signal to obtain the first mixed signal; Filtering and amplifying the first mixed signal to obtain the first phase noise signal, and performing analog-to-digital conversion on the first phase noise signal to obtain the first path of real signal.

[0064] Optionally, perform phase-locked processing on the original first reference signal through a phase-locked loop to obtain a more stable first reference signal.

[0065] Among them, the phase-locked loop includes a phase detector, a loop filter, and a voltage-controlled oscillator.

[0066] Among them, the phase detector is used to compare the phase difference between the input signal and the output signal of the voltage-controlled oscillator to generate an error voltage; the loop filter is used to filter out high-frequency noise in the error signal and control the loop dynamic response; the voltage-controlled oscillator is used to adjust the output frequency according to the filtered error voltage until phase locking.

[0067] It can be understood that by performing phase-locked processing on the original first reference signal, the original first reference signal can be converted into a first reference signal with high stability and low noise, which is suitable for scenarios sensitive to phase noise such as precision measurement, communication systems, and radars.

[0068] In some embodiments, mixing the second path of signal and the second reference signal to obtain the second path of real signal includes: Perform phase-locked processing on the original second reference signal to obtain the second reference signal; Perform mixing processing on the second signal and the second reference signal to obtain the second mixed signal; Perform filtering and amplification on the second mixed signal to obtain the second phase noise signal, and perform analog-to-digital conversion on the second phase noise signal to obtain the second real signal.

[0069] Optionally, perform phase-locked processing on the original second reference signal through a phase-locked loop; perform filtering on the second mixed signal through a low-pass filter; perform amplification on the filtered second mixed signal through a low-noise amplifier; perform analog-to-digital conversion on the second phase noise signal through an analog-to-digital converter.

[0070] Figure 4 It is a schematic flowchart of the training process of the separation model provided by the embodiment of the present invention. As Figure 4 shown, in some embodiments, the training process of the separation model includes: Step 410, obtain a sample signal, a first sample reference signal, and a second sample reference signal; Step 420, divide the sample signal into a first sample signal and a second sample signal; Step 430, perform mixing processing on the first sample signal and the first sample reference signal to obtain a first sample real signal; perform mixing processing on the second sample signal and the second sample reference signal to obtain a second sample real signal; Step 440, splice the first sample real signal and the second sample real signal to obtain a sample complex signal, and perform Fourier transform on the sample complex signal to obtain a sample frequency-domain complex signal; Step 450, determine a first frequency-domain complex signal label corresponding to the first sample real signal, and determine a second frequency-domain complex signal label corresponding to the second sample real signal; Step 460, use the sample frequency-domain complex signal as a training sample, and use the first frequency-domain complex signal label and the second frequency-domain complex signal label as sample labels to train an initial separation model. After the training is completed, a separation model is obtained.

[0071] Optionally, perform mixing processing on the first sample signal and the first sample reference signal to obtain a first sample mixed signal, and perform post-processing such as filtering, amplification, and conversion on the first sample mixed signal to obtain a first sample real signal.

[0072] Optionally, perform mixing processing on the second sample signal and the second sample reference signal to obtain a second sample mixed signal, and perform post-processing such as filtering, amplification, and conversion on the second sample mixed signal to obtain a second sample real signal.

[0073] The phase noise measurement device provided by the embodiments of the present invention will be described below. The phase noise measurement device described below can be correspondingly referred to the phase noise measurement method described above.

[0074] Figure 5 FIG. is a schematic structural diagram of the phase noise measurement device provided by the embodiments of the present invention. As Figure 5 shown, the phase noise measurement device 500 includes: A signal processing unit 510, configured to divide a signal to be measured into a first path signal and a second path signal, perform mixing processing on the first path signal and a first reference signal to obtain a first path real signal; perform mixing processing on the second path signal and a second reference signal to obtain a second path real signal; A splicing unit 520, configured to splice the first path real signal and the second path real signal to obtain a complex signal; A Fourier transform unit 530, configured to perform Fourier transform on the complex signal to obtain a complex signal in the frequency domain; A separation unit 540, configured to separate a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; A calculation unit 550, configured to perform a cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain a phase noise measurement result of the signal to be measured.

[0075] Optionally, separating the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain includes: Inputting the complex signal in the frequency domain into a pre-constructed separation model to obtain the first complex signal in the frequency domain and the second complex signal in the frequency domain output by the separation model; wherein, the separation model is trained based on a sample complex signal in the frequency domain, a first complex signal in the frequency domain label corresponding to the first path sample real signal, and a second complex signal in the frequency domain label corresponding to the second path sample real signal; the sample complex signal in the frequency domain is obtained by performing Fourier transform on the sample complex signal; the sample complex signal is obtained by splicing the first path sample real signal and the second path sample real signal.

[0076] Optionally, the real signal of the first path and the real signal of the second path are independent of each other.

[0077] Optionally, performing a cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain a phase noise measurement result of the signal to be measured includes: Performing multiple cross-correlation operations on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain multiple cross-correlation operation results; Calculating an integral average value of the multiple cross-correlation operation results to obtain the phase noise measurement result.

[0078] Optionally, mixing the first path of signal and the first reference signal to obtain a first path of real signal, including: Performing phase-locked processing on the original first reference signal to obtain a first reference signal; Mixing the first path of signal and the first reference signal to obtain a first mixed signal; Filtering and amplifying the first mixed signal to obtain a first phase noise signal, and performing analog-to-digital conversion on the first phase noise signal to obtain a first path of real signal.

[0079] Optionally, mixing the second path of signal and the second reference signal to obtain a second path of real signal, including: Performing phase-locked processing on the original second reference signal to obtain a second reference signal; Mixing the second path of signal and the second reference signal to obtain a second mixed signal; Filtering and amplifying the second mixed signal to obtain a second phase noise signal, and performing analog-to-digital conversion on the second phase noise signal to obtain a second path of real signal.

[0080] Optionally, the training process of the separation model includes: Obtaining a sample signal, a first sample reference signal, and a second sample reference signal; Dividing the sample signal into a first path of sample signal and a second path of sample signal; Mixing the first path of sample signal and the first sample reference signal to obtain a first path of sample real signal; mixing the second path of sample signal and the second sample reference signal to obtain a second path of sample real signal; Concatenating the first path of sample real signal and the second path of sample real signal to obtain a sample complex signal, and performing Fourier transform on the sample complex signal to obtain a sample frequency-domain complex signal; Determining a first frequency-domain complex signal label corresponding to the first path of sample real signal, and determining a second frequency-domain complex signal label corresponding to the second path of sample real signal; Using the sample frequency-domain complex signal as a training sample, and using the first frequency-domain complex signal label and the second frequency-domain complex signal label as sample labels to train an initial separation model. After the training is completed, a separation model is obtained.

[0081] It should be noted here that the phase noise measurement device provided in the embodiments of the present invention can implement all the method steps implemented in the above-mentioned phase noise measurement method embodiments, and can achieve the same technical effects. Therefore, the same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0082] Figure 6 It is a schematic structural diagram of an electronic device provided in an embodiment of the present invention, asFigure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communications interface 620, and the memory 630 complete communication with each other through the communication bus 640. The processor 610 may call the logical instructions in the memory 630 to execute a phase noise measurement method, which includes: dividing a signal to be measured into a first path signal and a second path signal, performing mixing processing on the first path signal and a first reference signal to obtain a first real number signal; performing mixing processing on the second path signal and a second reference signal to obtain a second real number signal; splicing the first real number signal and the second real number signal to obtain a complex signal; performing Fourier transform on the complex signal to obtain a complex signal in the frequency domain; separating a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; performing cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain a phase noise measurement result of the signal to be measured.

[0083] In addition, when the logical instructions in the above-mentioned memory 630 are implemented in the form of software functional units and sold or used as an independent product, they may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0084] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the phase noise measurement method provided by the above-mentioned various methods. The method includes: dividing a signal to be measured into a first path signal and a second path signal, performing mixing processing on the first path signal and a first reference signal to obtain a first path real signal; performing mixing processing on the second path signal and a second reference signal to obtain a second path real signal; splicing the first path real signal and the second path real signal to obtain a complex signal; performing Fourier transform on the complex signal to obtain a complex signal in the frequency domain; separating a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; performing cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured.

[0085] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0086] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A phase noise measurement method, characterized in that Including: Dividing the signal to be measured into a first path signal and a second path signal, performing mixing processing on the first path signal and a first reference signal to obtain a first path real signal; Performing mixing processing on the second path signal and a second reference signal to obtain a second path real signal; Concatenating the first path real signal and the second path real signal to obtain a complex signal; Performing Fourier transform on the complex signal to obtain a complex signal in the frequency domain; Separating a first complex signal in the frequency domain and a second complex signal in the frequency domain from the complex signal in the frequency domain; Performing cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured.

2. The phase noise measurement method according to claim 1, characterized in that The separating the first complex signal in the frequency domain and the second complex signal in the frequency domain from the complex signal in the frequency domain includes: Inputting the complex signal in the frequency domain into a pre-constructed separation model to obtain the first complex signal in the frequency domain and the second complex signal in the frequency domain output by the separation model; Wherein, the separation model is trained based on a sample complex signal in the frequency domain, a label of the first complex signal in the frequency domain corresponding to the first path sample real signal, and a label of the second complex signal in the frequency domain corresponding to the second path sample real signal; the sample complex signal in the frequency domain is obtained by performing Fourier transform on a sample complex signal; the sample complex signal is obtained by concatenating the first path sample real signal and the second path sample real signal.

3. The phase noise measurement method according to claim 1, characterized in that The first path real signal and the second path real signal are independent of each other.

4. The phase noise measurement method according to claim 1, wherein The performing cross-correlation operation on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain the phase noise measurement result of the signal to be measured includes: Performing multiple cross-correlation operations on the first complex signal in the frequency domain and the second complex signal in the frequency domain to obtain multiple cross-correlation operation results; Calculating the integral average value of the multiple cross-correlation operation results to obtain the phase noise measurement result.

5. The phase noise measurement method according to claim 1, characterized in that The performing mixing processing on the first path signal and a first reference signal to obtain a first path real signal includes: Performing phase-locked processing on the original first reference signal to obtain the first reference signal; Performing mixing processing on the first path signal and the first reference signal to obtain a first mixed signal; Performing filtering and amplification on the first mixed signal to obtain a first phase noise signal, and performing analog-to-digital conversion on the first phase noise signal to obtain the first path real signal.

6. The phase noise measurement method according to claim 1, characterized in that The performing mixing processing on the second path signal and a second reference signal to obtain a second path real signal includes: Performing phase-locked processing on the original second reference signal to obtain the second reference signal; Performing mixing processing on the second path signal and the second reference signal to obtain a second mixed signal; Performing filtering and amplification on the second mixed signal to obtain a second phase noise signal, and performing analog-to-digital conversion on the second phase noise signal to obtain the second path real signal.

7. The phase noise measurement method according to claim 2, characterized in that, The training process of the separation model includes: Obtaining a sample signal, a first sample reference signal, and a second sample reference signal; Dividing the sample signal into a first path sample signal and a second path sample signal; Mix the first path of sample signal and the first sample reference signal to obtain a first path of sample real signal; mix the second path of sample signal and the second sample reference signal to obtain a second path of sample real signal; Concatenate the first path of sample real signal and the second path of sample real signal to obtain a sample complex signal, and perform a Fourier transform on the sample complex signal to obtain a sample frequency-domain complex signal; Determine the first frequency-domain complex signal label corresponding to the first path of sample real signal, and determine the second frequency-domain complex signal label corresponding to the second path of sample real signal; Use the sample frequency-domain complex signal as a training sample, and use the first frequency-domain complex signal label and the second frequency-domain complex signal label as sample labels to train an initial separation model. After the training is completed, obtain the separation model.

8. A phase noise measurement device, characterized in that, Including: A signal processing unit for dividing a signal to be measured into a first path of signal and a second path of signal, mixing the first path of signal and a first reference signal to obtain a first path of real signal; Mix the second path of signal and the second reference signal to obtain a second path of real signal; A concatenation unit for concatenating the first path of real signal and the second path of real signal to obtain a complex signal; A Fourier transform unit for performing a Fourier transform on the complex signal to obtain a frequency-domain complex signal; A separation unit for separating a first frequency-domain complex signal and a second frequency-domain complex signal from the frequency-domain complex signal; A calculation unit for performing a cross-correlation operation on the first frequency-domain complex signal and the second frequency-domain complex signal to obtain a phase noise measurement result of the signal to be measured.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, wherein, When the processor executes the computer program, it implements the phase noise measurement method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the phase noise measurement method according to any one of claims 1 to 7.

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