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

Abstract

The application provides a phase noise measurement method and device, electronic equipment and storage medium, and belongs to the technical field of testing, wherein the method comprises the following steps: dividing a to-be-measured signal into a first signal and a second signal, mixing the first signal and a first reference signal to obtain a first real signal, mixing 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 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 to-be-measured signal. The application simplifies the data processing process, improves the measurement efficiency and reduces the cost by performing Fourier transform on the complex signal.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of testing, in particular to a phase noise measurement method and device, electronic equipment and storage medium. BACKGROUND

[0002] As an important parameter representing the purity of signal spectrum, phase noise directly determines the core performance indicators of communication system, radar resolution and satellite navigation accuracy. Under the trend of miniaturization and high frequency of radio frequency system, phase noise measurement becomes a key link to evaluate the reliability of electronic system. At present, the traditional cross-correlation method is used to measure the phase noise, which has high complexity, consumes a large amount of processing resources, has high cost and low efficiency. SUMMARY

[0003] The present application provides a phase noise measurement method, device, electronic equipment and storage medium to solve the defects of high complexity, large amount of data processing resources, high cost and low efficiency in the prior art by using the traditional cross-correlation method to measure the phase noise.

[0004] The present application provides a phase noise measurement method, comprising:

[0005] The signal to be measured is divided into a first signal and a second signal, the first signal and a first reference signal are mixed to obtain a first real signal, and the second signal and a second reference signal are mixed to obtain a second real signal;

[0006] The first real signal and the second real signal are spliced to obtain a complex signal;

[0007] The complex signal is subjected to Fourier transform to obtain a frequency domain complex signal;

[0008] The first frequency domain complex signal and the second frequency domain complex signal are separated from the frequency domain complex signal;

[0009] The first frequency domain complex signal and the second frequency domain complex signal are subjected to cross-correlation operation to obtain the phase noise measurement result of the signal to be measured.

[0010] In some embodiments, the first frequency domain complex signal and the second frequency domain complex signal are separated from the frequency domain complex signal, comprising:

[0011] The frequency domain complex signal is input 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;

[0012] In which, the separation model is trained based on the sample frequency domain complex signal, the first frequency domain complex signal label corresponding to the first sample real signal, and the second frequency domain complex signal label corresponding to the second sample real signal; the sample frequency domain complex signal is obtained by performing Fourier transform on the sample complex signal; the sample complex signal is obtained by splicing the first sample real signal and the second sample real signal.

[0013] In some embodiments, the first real-number signal and the second real-number signal are independent of each other.

[0014] In some embodiments, 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 includes:

[0015] 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;

[0016] An integrated average value of the multiple cross-correlation operation results is calculated to obtain a phase noise measurement result.

[0017] In some embodiments, mixing the first signal and the first reference signal to obtain a first real signal includes:

[0018] Performing phase-locking processing on the original first reference signal to obtain the first reference signal;

[0019] performing mixing processing on the first signal and the first reference signal to obtain a first mixed signal;

[0020] The first mixing signal is filtered and amplified to obtain a first phase noise signal, and the first phase noise signal is analog-to-digital converted to obtain the first real signal.

[0021] In some embodiments, the mixing of the second signal and the second reference signal to obtain a second real signal includes:

[0022] performing phase-locking processing on the original second reference signal to obtain the second reference signal;

[0023] performing mixing processing on the second signal and the second reference signal to obtain a second mixed signal;

[0024] The second mixing signal is filtered and amplified to obtain a second phase noise signal, and the second phase noise signal is analog-to-digital converted to obtain the second real signal.

[0025] In some embodiments, the training process of the separation model includes:

[0026] Acquire a sample signal, a first sample reference signal, and a second sample reference signal;

[0027] Splitting the sample signal into a first sample signal and a second sample signal;

[0028] Performing mixing processing on the first channel of sample signals and the first sample reference signal to obtain a first channel of sample real number signals; performing mixing processing on the second channel of sample signals and the second sample reference signal to obtain a second channel of sample real number signals;

[0029] splicing the first sample real signal and the second 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;

[0030] Determine a first frequency-domain complex signal label corresponding to the first channel of sample real-number signals, and determine a second frequency-domain complex signal label corresponding to the second channel of sample real-number signals;

[0031] The sample frequency domain complex signal is used as a training sample, and the first frequency domain complex signal label and the second frequency domain complex signal label are used as sample labels to train an initial separation model. After the training is completed, the separation model is obtained.

[0032] The present invention also provides a phase noise measurement device, comprising:

[0033] a signal processing unit, configured to divide the signal to be measured into a first signal and a second signal, perform frequency mixing on the first signal and a first reference signal to obtain a first real signal; and perform frequency mixing on the second signal and a second reference signal to obtain a second real signal;

[0034] a concatenation unit, configured to concatenate the first real-number signal and the second real-number signal to obtain a complex signal;

[0035] A Fourier transform unit, configured to perform Fourier transform on the complex signal to obtain a frequency domain complex signal;

[0036] 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;

[0037] A calculation unit is used 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.

[0038] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above-described phase noise measurement methods when executing the computer program.

[0039] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which implements any of the above-mentioned phase noise measurement methods when executed by a processor.

[0040] 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 and a second signal, perform mixing processing on the first signal and a first reference signal to obtain a first real signal; perform mixing processing on the second signal 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 frequency domain complex signal; separate the first frequency domain complex signal and the second frequency domain complex signal from the frequency domain complex signal; perform 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, thereby simplifying the data processing process, improving measurement efficiency, reducing resource consumption and lowering hardware cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0042] Figure 1 It is a structural diagram of a single-stage cross-correlation processing module provided by the prior art.

[0043] Figure 2 Schematic diagram of the structure of the phase noise measurement system provided by an embodiment of the present invention.

[0044] Figure 3 It is a flow chart of the phase noise measurement method provided by an embodiment of the present invention.

[0045] Figure 4 It is a flowchart of the training process of the separation model provided by an embodiment of the present invention.

[0046] Figure 5 It is a structural diagram of a phase noise measurement device provided by an embodiment of the present invention.

[0047] Figure 6It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0049] The terms "first," "second," and the like in the present invention are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the present invention can be implemented in an order other than that illustrated or described herein. Furthermore, the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects. For example, the first object may be one or more.

[0050] In existing technology, a phase noise measurement system consists of a source under test and two reference sources. The reference source signals are set to be co-frequency and orthogonal to the source under test signal. The source under test signal is split into two signals via a power divider. Each source under test signal is mixed with two independent reference signals through a phase detector. The high-frequency components are then filtered out through a low-pass filter to obtain the measured phase noise signal. A low-noise amplifier (LNA) amplifies the phase noise signal to an appropriate power range. An analog-to-digital converter (ADC) chip converts the analog signal to a digital signal, producing two real-valued signals. These two real-valued signals are then processed using a multi-stage cross-correlation processing module.

[0051] Figure 1 This is a schematic diagram of the structure of a single-stage cross-correlation processing module provided by the prior art. Figure 1 As shown in the figure, each level of 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. and Perform fast Fourier transform to obtain the corresponding two-way frequency domain complex signals and ,in means The conjugate of the two FFT modules accounts for approximately 60% to 70% of the resources consumed by each cross-correlation processing module. Multi-level cross-correlation processing modules require significant resources. The design requires the use of a high-performance, large-capacity Field Programmable Gate Array (FPGA) chip as the core processing device, which inevitably results in higher power consumption, larger size, and higher cost.

[0052] Existing phase noise measurement systems and methods have the following drawbacks:

[0053] (1) The system is relatively complex and requires two independent, very clean, and electronically adjustable reference sources;

[0054] (2) Cross-correlation calculation is relatively complex and requires more processing resources;

[0055] (3) It is very time-consuming to measure ultra-low phase noise;

[0056] (4) The measured frequency bandwidth must match the adjustment range of the reference source.

[0057] To this end, an embodiment of the present invention provides a phase noise measurement method, device, electronic device, and storage medium. The method includes dividing a signal to be measured into a first signal and a second signal, mixing the first signal and a first reference signal to obtain a first real signal; mixing the second signal and a second reference signal to obtain a second real signal; concatenating the first real signal and the second 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; 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. The present invention can simplify the data processing process, improve measurement efficiency, reduce resource consumption, and reduce hardware costs.

[0058] Figure 2 Schematic diagram of the structure of the phase noise measurement system provided by the embodiment of the present invention. Figure 2 As shown in FIG, the phase noise measurement system includes a splicing module, a fast Fourier transform module and a separation module. and After splicing by the splicing module, the complex signal is obtained , complex signal After being processed by the fast Fourier transform module, the frequency domain complex signal is obtained , frequency domain complex signal After separation by the separation module, two real signals are obtained and The corresponding frequency domain complex signal .

[0059] Figure 3 Schematic diagram of the process of phase noise measurement method provided by the embodiment of the present invention. Figure 3 As shown, a phase noise measurement method is provided, which is applied to the above phase noise measurement system, including the following steps: step 310, step 320, step 330, step 340 and step 350. The steps of the method flow are only a possible implementation of the present invention.

[0060] Step 310: Split the signal to be measured into a first signal and a second signal, mix the first signal and the first reference signal to obtain a first real signal; and mix the second signal and the second reference signal to obtain a second real signal.

[0061] The signals to be tested include but are not limited to sinusoidal signals, clock signals, radio frequency signals, and modulated signals.

[0062] Optionally, a phase difference between the first reference signal and the second reference signal is 90° (ie, the phases are orthogonal).

[0063] Among them, a real signal refers to a signal whose time domain value is a real number, and its mathematical expression only contains the real part and no imaginary component.

[0064] Optionally, a power divider is used to divide the signal to be measured into a first signal and a second signal.

[0065] It should be noted that by dividing the signal to be measured into two signals and mixing them with the orthogonal reference signal respectively, the amplitude and phase information of the signal to be measured can be completely preserved, avoiding the image frequency interference caused by single-channel processing.

[0066] Optionally, the first signal and the first reference signal are mixed to obtain a first mixed signal, and the first mixed signal is post-processed such as filtering, amplification, and analog-to-digital conversion to obtain a first real signal.

[0067] Optionally, the second signal and the second reference signal are mixed to obtain a second mixed signal, and the second mixed signal is post-processed such as filtering, amplification, and analog-to-digital conversion to obtain a second real signal.

[0068] Step 320: Concatenate the first real-number signal and the second real-number signal to obtain a complex signal.

[0069] Among them, the complex signal refers to a signal whose time domain value is complex, including a real part and an imaginary part.

[0070] Optionally, the first real-number signal is used as the real part of the complex-number signal, and the second real-number signal is used as the imaginary part of the complex-number signal.

[0071] Step 330: Perform Fourier transform on the complex signal to obtain a frequency domain complex signal.

[0072] The frequency domain complex signal refers to the complex form representation obtained by converting the time domain signal to the frequency domain through Fourier transform (such as FFT), and each frequency point contains amplitude and phase information.

[0073] Among them, the Fast Fourier Transform (FFT) is an algorithm for efficiently calculating the Discrete Fourier Transform (DFT), which is used to convert time domain signals into frequency domain representation.

[0074] It can be understood that by splicing the first real signal and the second real signal to obtain a complex signal, and performing fast Fourier transform on the complex signal to obtain a frequency domain complex signal, the resource consumption of the FFT module can be reduced and the hardware cost can be reduced.

[0075] Step 340: Separate a first frequency-domain complex signal and a second frequency-domain complex signal from the frequency-domain complex signal.

[0076] The first frequency-domain complex signal corresponds to the first real-number signal, and the second frequency-domain complex signal corresponds to the second real-number signal.

[0077] Optionally, the first real signal with a length of N DFT results As shown in the following formula:

[0078] ;

[0079] in, is a natural number greater than 1, Indicates the sampling points, is the frequency domain index, corresponding to the position of the frequency component, is the first real signal The corresponding first frequency domain complex signal, is the rotation factor used to project the time domain signal onto the orthogonal basis in the frequency domain. is an imaginary unit, is the base of natural logarithms.

[0080] because is a real number, so About N / 2 complex conjugate symmetry, that is:

[0081] , ;

[0082] wherein denotes the conjugate of , denotes the first frequency domain complex signal with frequency domain index .

[0083] Likewise, the DFT result of the second real signal N of length is as follows:

[0084] ;

[0085] wherein denotes the second real signal ,

[0086] Since is a real number, the second frequency domain complex signal is conjugate symmetric with respect to the N / 2 complex conjugate pair, i.e.:

[0087] , ;

[0088] wherein denotes the conjugate of , denotes the second frequency domain complex signal with frequency domain index .

[0089] Optionally, the complex signal is expressed as:

[0090] ;

[0091] wherein is the complex signal.

[0092] Optionally, the frequency domain complex signal is expressed as:

[0093] ;

[0094] In the above equation, denotes the frequency domain complex signal, denotes the real part of the frequency domain complex signal, denotes the imaginary part of the frequency domain complex signal; denotes the real part of the first frequency domain complex signal, denotes the imaginary part of the first frequency domain complex signal; denotes the real part of the second frequency domain complex signal, represents the imaginary part of the second frequency-domain complex signal.

[0095] Therefore, it can be deduced that:

[0096] ,

[0097] ;

[0098] ,

[0099] ;

[0100] and,

[0101] = ;

[0102] ;

[0103] In the above two formulas ,Right now ,and , represents the first frequency domain complex signal with frequency domain index 0, represents a second frequency domain complex signal with a frequency domain index of 0; represents a frequency domain complex signal with a frequency domain index of 0, is its imaginary part, is its real number part; Indicates that the frequency domain index is N The frequency domain complex signal, is its imaginary part, is its real number part; Indicates that the frequency domain index is The imaginary part of the complex frequency-domain signal, Indicates that the frequency domain index is The real part of the frequency-domain complex signal.

[0104] Obtain Afterwards, according to The complex conjugate symmetry of the sequence about N / 2 can be deduced , thus obtaining two real number sequences The discrete Fourier transform result of .

[0105] Step 350: 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.

[0106] Optionally, the phase noise measurement result includes a phase noise curve.

[0107] Optionally, the phase noise measurement results are visualized.

[0108] In some embodiments, 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 includes:

[0109] 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;

[0110] The phase noise measurement result is obtained by calculating the integrated average value of multiple cross-correlation operation results.

[0111] In an embodiment of the present invention, by dividing a signal to be measured into a first signal and a second signal, mixing the first signal and the first reference signal to obtain a first real signal; mixing the second signal and the 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 Fourier transform on the complex signal to obtain a frequency domain complex signal; separating the first frequency domain complex signal and the 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 a phase noise measurement result of the signal to be measured, the data processing process is simplified, the measurement efficiency is improved, the resource consumption is reduced, and the hardware cost is reduced.

[0112] In some embodiments, separating the first frequency-domain complex signal and the second frequency-domain complex signal from the frequency-domain complex signal includes:

[0113] Inputting the frequency domain complex signal into a pre-built separation model to obtain a first frequency domain complex signal and a second frequency domain complex signal output by the separation model;

[0114] 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 sample real signal, and the second frequency domain complex signal label corresponding to the second sample real signal; the sample frequency domain complex signal is obtained by performing Fourier transform on the sample complex signal; the sample complex signal is obtained by splicing the first sample real signal and the second sample real signal.

[0115] It can be understood that by adopting a pre-built separation model to predict the separation results of frequency domain complex signals, the efficiency and consistency of signal separation are improved and the scope of application is expanded.

[0116] In some embodiments, the first real-number signal and the second real-number signal are independent of each other.

[0117] In some embodiments, the mixing processing is performed on the first path signal and the first reference signal to obtain a first path real number signal, including:

[0118] The original first reference signal is phase-locked to obtain a first reference signal;

[0119] The mixing processing is performed on the first path signal and the first reference signal to obtain a first mixed signal;

[0120] The first mixed signal is filtered and amplified to obtain a first phase noise signal, and the first phase noise signal is analog-digital converted to obtain the first path real number signal.

[0121] Optionally, the original first reference signal is phase-locked by a phase-locked loop to obtain a more stable first reference signal.

[0122] The phase-locked loop includes a phase detector, a loop filter and a voltage-controlled oscillator.

[0123] The phase detector is configured 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 configured to filter out high-frequency noise in the error signal to control the dynamic response of the loop; and the voltage-controlled oscillator is configured to adjust the output frequency according to the filtered error voltage until the phase is locked.

[0124] It can be understood that, by phase-locked processing of the original first reference signal, the original first reference signal can be converted into a high-stability, low-noise first reference signal, which is suitable for precise measurement, communication systems and radar and other phase noise sensitive scenarios.

[0125] In some embodiments, the mixing processing is performed on the second path signal and the second reference signal to obtain a second path real number signal, including:

[0126] The original second reference signal is phase-locked to obtain a second reference signal;

[0127] The mixing processing is performed on the second path signal and the second reference signal to obtain a second mixed signal;

[0128] The second mixed signal is filtered and amplified to obtain a second phase noise signal, and the second phase noise signal is analog-digital converted to obtain the second path real number signal.

[0129] Optionally, the original second reference signal is phase-locked by a phase-locked loop; the second mixed signal is filtered by a low-pass filter; the filtered second mixed signal is amplified by a low-noise amplifier; and the second phase noise signal is analog-digital converted by an analog-digital converter.

[0130] Figure 4A flowchart of a training process of a separation model provided by an embodiment of the present application is shown in FIG. 4. As shown in FIG. 4, in some embodiments, the training process of the separation model includes: Figure 4

[0131] Step 410: obtaining a sample signal, a first sample reference signal, and a second sample reference signal.

[0132] Step 420: dividing the sample signal into a first-path sample signal and a second-path sample signal.

[0133] Step 430: mixing the first-path sample signal and the first sample reference signal to obtain a first-path sample real signal, and mixing the second-path sample signal and the second sample reference signal to obtain a second-path sample real signal.

[0134] Step 440: splicing the first-path sample real signal and the second-path 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.

[0135] Step 450: determining a first frequency-domain complex signal label corresponding to the first-path sample real signal, and determining a second frequency-domain complex signal label corresponding to the second-path sample real signal.

[0136] Step 460: training an initial separation model by taking the sample frequency-domain complex signal as a training sample and taking the first frequency-domain complex signal label and the second frequency-domain complex signal label as sample labels, and obtaining the separation model after the training is completed.

[0137] Optionally, the first-path sample signal and the first sample reference signal are mixed to obtain a first sample mixed signal, and the first sample mixed signal is subjected to post-processing such as filtering, amplification, and conversion to obtain the first-path sample real signal.

[0138] Optionally, the second-path sample signal and the second sample reference signal are mixed to obtain a second sample mixed signal, and the second sample mixed signal is subjected to post-processing such as filtering, amplification, and conversion to obtain the second-path sample real signal.

[0139] A phase noise measurement device provided by an embodiment of the present application is described below. The phase noise measurement device described below can be referred to in correspondence with the phase noise measurement method described above.

[0140] Figure 5 A structure diagram of a phase noise measurement device provided by an embodiment of the present application is shown in FIG. 5. As shown in FIG. 5, the phase noise measurement device 500 includes: Figure 5

[0141] ​​The signal processing unit 510 is configured to divide the to-be-tested signal into a first signal and a second signal, perform mixing processing on the first signal and a first reference signal to obtain a first real signal, and perform mixing processing on the second signal and a second reference signal to obtain a second real signal.

[0142] The splicing unit 520 is configured to splice the first real signal and the second real signal to obtain a complex signal.

[0143] The Fourier transform unit 530 is configured to perform Fourier transform on the complex signal to obtain a frequency domain complex signal.

[0144] The separation unit 540 is configured to separate the first frequency domain complex signal and the second frequency domain complex signal from the frequency domain complex signal.

[0145] The calculation unit 550 is configured to perform 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 to-be-tested signal.

[0146] Optionally, separating the first frequency domain complex signal and the second frequency domain complex signal from the frequency domain complex signal comprises:

[0147] inputting 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;

[0148] The separation model is obtained by training based on a sample frequency domain complex signal, a first frequency domain complex signal label corresponding to a first sample real signal, and a second frequency domain complex signal label corresponding to a second sample real signal; the sample frequency domain complex signal is obtained by performing Fourier transform on a sample complex signal; and the sample complex signal is obtained by splicing the first sample real signal and the second sample real signal.

[0149] Optionally, the first real signal and the second real signal are independent of each other.

[0150] Optionally, 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 to-be-tested signal comprises:

[0151] performing multiple times of cross-correlation operation on the first frequency domain complex signal and the second frequency domain complex signal to obtain multiple cross-correlation operation results;

[0152] calculating an integral average value of the multiple cross-correlation operation results to obtain the phase noise measurement result.

[0153] Optionally, performing mixing processing on the first signal and the first reference signal to obtain the first real signal comprises:

[0154] The original first reference signal is subjected to phase-locked processing to obtain a first reference signal;

[0155] The first path signal and the first reference signal are subjected to mixing processing to obtain a first mixed signal;

[0156] The first mixed signal is subjected to filtering and amplification to obtain a first phase noise signal, and the first phase noise signal is subjected to analog-to-digital conversion to obtain a first real signal.

[0157] Optionally, the second path signal and the second reference signal are subjected to mixing processing to obtain a second real signal, comprising:

[0158] The original second reference signal is subjected to phase-locked processing to obtain a second reference signal;

[0159] The second path signal and the second reference signal are subjected to mixing processing to obtain a second mixed signal;

[0160] The second mixed signal is subjected to filtering and amplification to obtain a second phase noise signal, and the second phase noise signal is subjected to analog-to-digital conversion to obtain a second real signal.

[0161] Optionally, the training process of the separation model comprises:

[0162] Obtaining a sample signal, a first sample reference signal and a second sample reference signal;

[0163] The sample signal is divided into a first path sample signal and a second path sample signal;

[0164] The first path sample signal and the first sample reference signal are subjected to mixing processing to obtain a first path sample real signal, and the second path sample signal and the second sample reference signal are subjected to mixing processing to obtain a second path sample real signal;

[0165] The first path sample real signal and the second path sample real signal are spliced to obtain a sample complex signal, and the sample complex signal is subjected to Fourier transform to obtain a sample frequency domain complex signal;

[0166] A first frequency domain complex signal label corresponding to the first path sample real signal is determined, and a second frequency domain complex signal label corresponding to the second path sample real signal is determined;

[0167] The sample frequency domain complex signal is taken as a training sample, the first frequency domain complex signal label and the second frequency domain complex signal label are taken as sample labels, an initial separation model is trained, and after the training is completed, a separation model is obtained.

[0168] It should be noted here that the phase noise measurement device provided in the embodiment of the present invention can implement all the method steps implemented in the above-mentioned phase noise measurement method embodiment, and can achieve the same technical effects. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0169] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to execute a phase noise measurement method, which includes: dividing a signal to be measured into a first signal and a second signal, mixing the first signal and a first reference signal to obtain a first real signal; mixing the second signal and a second reference signal to obtain a second real signal; concatenating the first real signal and the second 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; and 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.

[0170] Furthermore, the logic instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can 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 can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0171] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program, which, when executed by a processor, implements the phase noise measurement method provided by any of the above methods, and the method comprises: dividing a to-be-measured signal into a first path signal and a second path signal, mixing the first path signal and a first reference signal to obtain a first path real signal; mixing 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 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 to-be-measured signal.

[0172] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0173] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in terms of the contribution to the prior art, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0174] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some 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 the embodiments of the present application.

Claims

1. A phase noise measurement method, characterized in that: include: Splitting the signal to be measured into a first signal and a second signal, performing frequency mixing on the first signal and a first reference signal to obtain a first real signal; performing frequency mixing processing on the second signal and the second reference signal to obtain a second real signal; concatenating 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 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 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; The separating the first frequency domain complex signal and the second frequency domain complex signal from the frequency domain complex signal comprises: Inputting the frequency domain complex signal into a pre-built separation model to obtain a first frequency domain complex signal and a second frequency domain complex signal output by the separation model; The separation model is obtained by training based on a sample frequency domain complex signal, a first frequency domain complex signal label corresponding to a first channel of sample real signals, and a second frequency domain complex signal label corresponding to a second channel of sample real signals; the sample frequency domain complex signal is obtained by performing Fourier transform on the sample complex signal; the sample complex signal is obtained by concatenating the first channel of sample real signals and the second channel of sample real signals; The first real-number signal and the second real-number signal are independent of each other.

2. The phase noise measurement method according to claim 1, wherein: The 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 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; An integrated average value of the multiple cross-correlation operation results is calculated to obtain a phase noise measurement result.

3. The phase noise measurement method according to claim 1, wherein: The mixing process of the first signal and the first reference signal to obtain a first real signal includes: Performing phase-locking processing on the original first reference signal to obtain the first reference signal; performing mixing processing on the first signal and the first reference signal to obtain a first mixed signal; The first mixing signal is filtered and amplified to obtain a first phase noise signal, and the first phase noise signal is analog-to-digital converted to obtain the first real signal.

4. The phase noise measurement method according to claim 1, wherein: The mixing process is performed on the second signal and the second reference signal to obtain a second real signal, comprising: performing phase-locking processing on the original second reference signal to obtain the second reference signal; performing mixing processing on the second signal and the second reference signal to obtain a second mixed signal; The second mixing signal is filtered and amplified to obtain a second phase noise signal, and the second phase noise signal is analog-to-digital converted to obtain the second real signal.

5. The phase noise measurement method according to claim 1, wherein: The training process of the separation model includes: Acquire a sample signal, a first sample reference signal, and a second sample reference signal; Splitting the sample signal into a first sample signal and a second sample signal; Performing mixing processing on the first channel of sample signals and the first sample reference signal to obtain a first channel of sample real number signals; performing mixing processing on the second channel of sample signals and the second sample reference signal to obtain a second channel of sample real number signals; splicing the first sample real signal and the second 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; Determine a first frequency-domain complex signal label corresponding to the first channel of sample real-number signals, and determine a second frequency-domain complex signal label corresponding to the second channel of sample real-number signals; The sample frequency domain complex signal is used as a training sample, and the first frequency domain complex signal label and the second frequency domain complex signal label are used as sample labels to train an initial separation model. After the training is completed, the separation model is obtained.

6. A phase noise measurement device, characterized in that: include: A signal processing unit is used to divide the signal to be measured into a first signal and a second signal, and perform mixing processing on the first signal and a first reference signal to obtain a first real signal; performing frequency mixing processing on the second signal and the second reference signal to obtain a second real signal; a concatenation unit, configured to concatenate the first real-number signal and the second real-number signal to obtain a complex signal; A Fourier transform unit, configured to perform 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; The separating the first frequency domain complex signal and the second frequency domain complex signal from the frequency domain complex signal comprises: Inputting the frequency domain complex signal into a pre-built separation model to obtain a first frequency domain complex signal and a second frequency domain complex signal output by the separation model; The separation model is obtained by training based on a sample frequency domain complex signal, a first frequency domain complex signal label corresponding to a first channel of sample real signals, and a second frequency domain complex signal label corresponding to a second channel of sample real signals; the sample frequency domain complex signal is obtained by performing Fourier transform on the sample complex signal; the sample complex signal is obtained by concatenating the first channel of sample real signals and the second channel of sample real signals; The first real-number signal and the second real-number signal are independent of each other.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the phase noise measurement method according to any one of claims 1 to 5 is implemented.

8. 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, the phase noise measurement method according to any one of claims 1 to 5 is implemented.

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