Equipment phase anomaly detection method and system based on cross-correlation phase
By performing cross-correlation processing and consistency verification of station equipment in deep space exploration tasks, combined with local zero baseline cross-correlation data processing, the problem of equipment phase abnormality detection is solved, and accurate fault detection and positioning of deep space interference measurement tasks is achieved.
Patent Information
- Application Number
- CN202411809868.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-02-28
AI Technical Summary
In deep space exploration tasks, phase anomalies of the station interference measurement equipment will introduce large errors, and it is difficult for the prior art to effectively detect and eliminate these anomalies.
The device phase abnormality detection method based on cross-correlation phase is adopted. By cross-correlation processing and data consistency verification are performed on the equipment of the two ends of the measurement stations. If inconsistencies are found, local zero baseline cross-correlation data processing is performed to detect abnormalities in the device phase.
Effectively detect and locate the abnormal results of the deep space interference measurement website equipment, ensure the accuracy and stability of the deep space interference measurement task, and provide important guarantees for the effective execution of the task.
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Figure CN119534999A_ABST
Abstract
Description
Background Art
[0002] Very long baseline interferometry technology has been widely used in deep space exploration missions and has played an important role in them. With the increasing complexity of deep space exploration missions such as asteroid exploration missions and deep space rendezvous and docking, as well as the continuous advancement of manned lunar missions, higher requirements are placed on measurement accuracy and stability.
[0003] Interferometry technology relies on processing the detector's downlink signal to obtain the delay observation, which is then used to determine the detector's orbit. The delay value obtained includes errors introduced by geometric delay, medium delay, link delay, and clock error. The error is calibrated using the medium delay model, clock error model, and calibration of the radio sources before and after the detector to eliminate it. Since the calibration of the detector's measurement error needs to rely on the radio sources observed before and after, the device phase is required to have a certain stability. The jump and anomaly of the device phase will be introduced into the interferometric measurement results of the detector, resulting in a large error, so the device phase consistency needs to be tested. Summary of the invention
[0004] The present application provides a method and system for detecting device phase anomaly based on cross-correlation phase, which are used to detect the change of phase-frequency characteristics of station interferometric measurement equipment over time.
[0005] In a first aspect, a method for detecting device phase anomaly based on cross-correlation phase is provided, comprising the following steps:
[0006] Carry out cross-correlation processing on the equipment at both ends of the measuring station, and perform data consistency check on the data between each device;
[0007] When the results of the data consistency check are inconsistent, local zero baseline cross-correlation data processing is performed on the station equipment.
[0008] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0009] In a specific implementation scheme, the steps of performing cross-correlation processing on the devices at the two end stations and performing data consistency verification on the data between the devices specifically include:
[0010] The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
[0011] In a specific implementation scheme, the a priori model includes an interferometric measurement data processing delay model generated based on detector predicted ephemeris data, station time-frequency information, and propagation medium model information.
[0012] In a specific implementation scheme, the step of performing local zero baseline cross-correlation data processing on the station equipment specifically includes:
[0013] The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc;
[0014] Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result;
[0015] The cross-correlation phase result is used to perform device detection.
[0016] In a specific embodiment, it also includes:
[0017] The target signal is collected in different channels with the same parameters to obtain collected data.
[0018] In a second aspect, a device phase anomaly detection system based on cross-correlation phase is provided, comprising:
[0019] The cross-correlation processing module is used to perform cross-correlation processing on the devices at the two end stations and to perform data consistency verification on the data between the devices;
[0020] The local zero baseline cross-correlation module is used to perform local zero baseline cross-correlation data processing on the measuring station equipment when there is inconsistency in the results of the data consistency check.
[0021] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0022] In a specific implementation scheme, cross-correlation processing is performed on the devices at both ends of the measuring station, and data consistency verification is performed on the data between the devices, specifically including:
[0023] The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
[0024] In a specific implementation scheme, local zero baseline cross-correlation data processing is performed on the station equipment, specifically including:
[0025] The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc;
[0026] Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result;
[0027] The cross-correlation phase result is used to perform device detection.
[0028] According to a third aspect, an electronic device is provided, comprising a processor, wherein the processor is coupled to a memory, wherein at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements any one of the methods for detecting device phase anomalies based on cross-correlation phase.
[0029] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0030] In a fourth aspect, a computer-readable storage medium is provided, characterized in that at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the methods for detecting device phase anomalies based on cross-correlation phase.
[0031] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A flowchart of a method for detecting anomaly of device phase based on cross-correlation phase provided in an embodiment of the present application;
[0033] Figure 2 A structural block diagram of a device phase anomaly detection system based on cross-correlation phase provided in an embodiment of the present application;
[0034] Figure 3 A consistency comparison diagram of the cross-correlation processing results of two measuring station devices provided in an embodiment of the present application;
[0035] Figure 4 A graph showing the variation of the zero baseline cross-correlation phase over time and frequency for station 1 provided in an embodiment of the present application;
[0036] Figure 5 This is a graph showing the variation of the zero baseline cross-correlation phase over time and frequency of station 2 provided in an embodiment of the present application. DETAILED DESCRIPTION
[0037] The present application is further described in detail below through the accompanying drawings and embodiments. Through these descriptions, the characteristics and advantages of the present application will become clearer and more specific.
[0038] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. Although various aspects of the embodiments are shown in the drawings, the drawings are not necessarily drawn to scale unless otherwise noted.
[0039] In addition, the technical features involved in different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.
[0040] To facilitate understanding of the device phase anomaly detection method and system based on cross-correlation phase provided in the embodiment of the present application, its application scenario is first explained. The device phase anomaly detection method and system based on cross-correlation phase provided in the embodiment of the present application are used to detect the change of the phase-frequency characteristics of the station interferometric measurement device over time. Interferometric measurement technology relies on the processing of the downlink signal of the detector to obtain the delay observation, which is used to determine the orbit of the detector. The delay value obtained includes errors introduced by geometric delay, medium delay, link delay and clock difference, and the error calibration adopts the calibration of the medium delay model, the clock difference model and the calibration of the radio source before and after the detector to eliminate it. Since the calibration of the detector measurement error needs to rely on the radio source observed before and after, the device phase is required to have a certain stability. The jump and anomaly of the device phase will be introduced into the interferometric measurement result of the detector, forming a large error, so it is necessary to detect the consistency of the device phase. For this reason, the embodiment of the present application provides a device phase anomaly detection method and system based on cross-correlation phase to detect the change of the phase-frequency characteristics of the station interferometric measurement device over time. The following is a detailed description of the embodiment in conjunction with specific drawings.
[0041] refer to Figures 1 to 5 , Figure 1 A flowchart of a method for detecting anomaly of device phase based on cross-correlation phase provided in an embodiment of the present application; Figure 2 A structural block diagram of a device phase anomaly detection system based on cross-correlation phase provided in an embodiment of the present application; Figure 3A consistency comparison diagram of the cross-correlation processing results of two measuring station devices provided in an embodiment of the present application; Figure 4 A graph showing the variation of the zero baseline cross-correlation phase over time and frequency for station 1 provided in an embodiment of the present application; Figure 5 This is a graph showing the variation of the zero baseline cross-correlation phase over time and frequency of station 2 provided in an embodiment of the present application.
[0042] exist Figure 1 In the embodiment of the present application, a method for detecting device phase anomaly based on cross-correlation phase is provided, comprising the following steps:
[0043] Carry out cross-correlation processing on the equipment at both ends of the measuring station, and perform data consistency check on the data between each device;
[0044] When the results of the data consistency check are inconsistent, local zero baseline cross-correlation data processing is performed on the station equipment.
[0045] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0046] Specifically, the device phase anomaly detection method based on cross-correlation phase includes:
[0047] The data acquisition equipment at the measuring stations at both ends of the interferometric measurement baseline collects data on the target downlink signal in different channels with the same parameters;
[0048] After the model is generated based on the station clock error model, detector ephemeris and radio source catalog, the collected data is cross-correlated to determine the consistency of the results, which specifically includes the following steps:
[0049] 1) Using the prior model containing clock error information, the station collected data is cross-correlated and processed to obtain the time-varying information of the residual delay between different devices;
[0050] 2) Perform consistency check on the cross-correlation residual delay of equipment between stations;
[0051] 3) If the residual delay observations constituting the baseline between stations are inconsistent, all error models are set to zero and data are collected using different data acquisition equipment at a single station for zero baseline cross-correlation processing;
[0052] 4) Perform consistency check on the phase data of the zero baseline related phase in the observed arc.
[0053] Preferably, an interferometric measurement data processing delay model is generated based on the detector predicted ephemeris data, station time-frequency information, propagation medium model and other information, and the model is used to cross-process the data of the two stations to obtain the delay observation result τ 台站1设备,台站2设备 , that is, τ AA , τ AB , τ AC , τ BA , τ BB , τ BC , τ CA , τ CB , τ CC , where A, B, and C are the equipment numbers of the measuring stations respectively;
[0054] The consistency test is performed on the observation results of the two stations after cross processing, and one of the observations is taken as the reference value, for example, τ AA , as follows;
[0055] τ AB -τ AA , τ AC -τ AA , τ BA -τ AA , τ BB -τ AA , τ BC -τ AA …
[0056] If the interferometric measurement results after cross-processing of the data acquisition equipment of the two stations are inconsistent, it can be judged that the data collected by the station is abnormal and further investigation is required. Cross-correlation processing is performed based on local data. Since the geometric delay, clock delay, tropospheric delay, etc. of the local station acquisition equipment are consistent, the inconsistency is caused by the access data acquisition link and the equipment itself. Therefore, each error model is set to 0, and local data cross-correlation cross-processing is performed directly;
[0057] Finally, based on the results obtained from local baseline cross processing, device detection is performed based on the cross-correlation phase results.
[0058] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0059] In a specific implementation scheme, the steps of performing cross-correlation processing on the devices at the two end stations and performing data consistency verification on the data between the devices specifically include:
[0060] The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
[0061] In a specific implementation scheme, the a priori model includes an interferometric measurement data processing delay model generated based on detector predicted ephemeris data, station time-frequency information, and propagation medium model information.
[0062] In a specific implementation scheme, the step of performing local zero baseline cross-correlation data processing on the station equipment specifically includes:
[0063] The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc;
[0064] Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result;
[0065] The cross-correlation phase result is used to perform device detection.
[0066] In a specific embodiment, it also includes:
[0067] The target signal is collected in different channels with the same parameters to obtain collected data.
[0068] refer to Figures 3 to 5 Specifically, the device phase anomaly detection method based on cross-correlation phase first performs cross-correlation processing on the data collected by multiple sets of data acquisition devices at the two ends of the interferometric measurement baseline, and compares the consistency of the cross-processing results; if the results are inconsistent, it can be determined that the phase-frequency characteristics of the data collected by a certain device are abnormal; the data collected by the single-station data acquisition device is subjected to zero-baseline cross-correlation processing to obtain its cross-correlation phase information, and the zero-baseline cross-correlation phase of each station is extracted to detect its consistency. It includes:
[0069] (1) Cross-processing of data collected by stations at both ends of the interferometric baseline
[0070] That is, assuming that the station has three sets of interferometric data acquisition equipment, A, B, and C, then the equipment A of station 1 is used to perform cross-correlation processing with the equipment A, B, and C of station 2 to obtain the delay observation τ AA , τ AB , τ AC , and so on, we can get τ BA , τ BB , τ BC , τ CA , τ CB , τ CC Equal measurement results.
[0071] (2) Compare the difference of the delay observations obtained by cross-processing of the stations and perform consistency detection
[0072] refer to Figure 3 , select a set of results, in this case, select τ AA That is, both measuring stations use the data from machine A for relevant processing as the benchmark, and the other results are differentiated to compare the consistency of the results.
[0073] Depend on Figure 3 It can be seen that the result value represented by the upper data point is relatively consistent with the reference value, while the result value represented by the lower data point has a systematic difference with the reference value, and the systematic difference is consistent. Therefore, it can be judged that there is a systematic difference in the result and the equipment is inconsistent.
[0074] Since the result τ CA , and the benchmark τ AA The results are consistent, and in the related processing, since the two results are that the same equipment data is used in measuring station 2, and different equipment data is used in measuring station 1, it can be judged that the two different sets of equipment in measuring station 1 are consistent.
[0075] Since τ AC With the benchmark τ AA The results are inconsistent, and τ CC With τ CA The results are inconsistent. The two sets of results were obtained by using the same equipment at station 1, but different equipment at station 2. The two sets of results are inconsistent. It can be inferred that the two sets of equipment at station 2 are inconsistent, resulting in abnormalities such as phase jumps.
[0076] (3) Local zero baseline cross-correlation phase test
[0077] Since the geometric delay from the local device to the detector is basically the same and the environmental parameters have the same influence, the collected signals between the two local devices only differ between the devices and the links. Therefore, the local zero-baseline cross-correlation phase is used for phase consistency detection.
[0078] In order to better illustrate the application effect of the present invention, the phase detection results based on cross-correlation of the two measuring stations in the above example are taken as examples.
[0079] refer to Figure 4 , Figure 4This is a graph showing the changes in the cross-correlation phase of the two sets of equipment at station 1 over time and frequency in the above example. The horizontal axis is the frequency of different acquisition channels, and the vertical axis represents the changes in the phase over frequency for different observation targets and time periods. The first three channels are backup acquisition channels. In the test, the detector has no downlink signal from this channel. The last three channels are a group of detector downlink frequency channels. There is a signal downlink in the actual tracking. In principle, the changes in phase over frequency at different time periods should be consistent. The vertical axis 0 phase is the change in the cross-correlation phase over time when observing radio source targets. The remaining phases are the changes in phase over frequency when the detector is observing at different time periods.
[0080] As a comparison, Figure 5 The variation of the cross-correlation phase of the two sets of equipment with zero baseline at station 2 over time and frequency is given.
[0081] Depend on Figure 4 and Figure 5 It can be seen that:
[0082] 1. During the radio source observation process, the zero-baseline cross-correlation phase between the two stations has better consistency with frequency changes, and the phase-frequency characteristics are stable.
[0083] 2. When the two devices at station 1 observe the detector target, the cross-correlation phase fluctuates randomly with the frequency, but has no obvious linear change with the frequency, and is relatively stable.
[0084] 3. Cross-correlation phase results of the two devices at station 2 When observing the detector target, the random noise of the phase changing with frequency is smaller than that at station 1.
[0085] 4. Cross-correlation phase results of the two devices at station 2 When observing the detector target, the cross-correlation phase of channels 4 and 5 relative to the radio source observation period undergoes an obvious linear change, which will introduce a systematic error when obtaining the time delay result.
[0086] 5. From the above 4 points, it can be concluded that when the observation equipment of Station 2 observes the radio source and the detector target, the consistency of the phase-frequency characteristics has a linear effect, which will directly affect the final measurement results. Therefore, it can be judged that the phase-frequency characteristics of the equipment of Station 2 are abnormal.
[0087] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, which provides important guarantees for the effective execution of the deep space interferometry task; it is applied to the status inspection and performance evaluation of the station equipment to better complete the space exploration task.
[0088] exist Figure 2In the embodiment of the present application, a device phase anomaly detection system based on cross-correlation phase is provided, comprising:
[0089] The cross-correlation processing module is used to perform cross-correlation processing on the devices at the two end stations and to perform data consistency verification on the data between the devices;
[0090] The local zero baseline cross-correlation module is used to perform local zero baseline cross-correlation data processing on the measuring station equipment when there is inconsistency in the results of the data consistency check.
[0091] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0092] In a specific implementation scheme, cross-correlation processing is performed on the devices at both ends of the measuring station, and data consistency verification is performed on the data between the devices, specifically including:
[0093] The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
[0094] In a specific implementation scheme, local zero baseline cross-correlation data processing is performed on the station equipment, specifically including:
[0095] The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc;
[0096] Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result;
[0097] The cross-correlation phase result is used to perform device detection.
[0098] An embodiment of the present application also provides an electronic device, which includes a processor, the processor is coupled to a memory, and the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the electronic device can implement any one of the device phase anomaly detection methods based on cross-correlation phase.
[0099] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0100] An embodiment of the present application also provides a computer-readable storage medium, characterized in that at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor so that the computer-readable storage medium implements any one of the methods for detecting device phase anomalies based on cross-correlation phase.
[0101] In the above technical scheme, cross-correlation processing is performed on the equipment at the two end stations, and data consistency verification is performed on the data between the devices; when there is inconsistency in the results of the data consistency verification, local zero-baseline cross-correlation data processing is performed on the station equipment; the abnormal results of the deep space interferometry site equipment are effectively detected and located, providing important guarantees for the effective execution of the deep space interferometry mission.
[0102] Those skilled in the art will appreciate that the present application may be implemented as a system, method or computer program product.
[0103] Therefore, the present disclosure may be specifically implemented in the following forms, namely: it may be completely hardware, it may be completely software (including firmware, resident software, microcode, etc.), or it may be a combination of hardware and software, generally referred to herein as a "circuit", "module" or "system". In addition, in some embodiments, the present application may also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium may contain computer-readable program code.
[0104] Any combination of one or more computer-readable media can be used. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, computer-readable storage media can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.
[0105] Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art can change, modify, replace and modify the above embodiments within the scope of the present application. On this basis, a variety of replacements and improvements can be made to the present application, all of which fall within the scope of protection of the present application.
Claims
1. A method for detecting device phase anomaly based on cross-correlation phase, characterized in that: The following steps are involved: Carry out cross-correlation processing on the equipment at both ends of the measuring station, and perform data consistency check on the data between each device; When the results of the data consistency check are inconsistent, local zero baseline cross-correlation data processing is performed on the station equipment.
2. The device phase anomaly detection method based on cross-correlation phase according to claim 1, characterized in that: The steps of performing cross-correlation processing on the devices at the two end stations and performing data consistency verification on the data between the devices specifically include: The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
3. The device phase anomaly detection method based on cross-correlation phase according to claim 2 is characterized in that: The a priori model includes an interferometric measurement data processing delay model generated based on detector predicted ephemeris data, station time-frequency information, and propagation medium model information.
4. The device phase anomaly detection method based on cross-correlation phase according to claim 3 is characterized in that: The steps of processing the local zero baseline cross-correlation data of the measuring station equipment specifically include: The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc; Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result; The cross-correlation phase result is used to perform device detection.
5. The device phase anomaly detection method based on cross-correlation phase according to claim 4 is characterized in that: Also includes: The target signal is collected in different channels with the same parameters to obtain collected data.
6. A device phase anomaly detection system based on cross-correlation phase, characterized in that: include: The cross-correlation processing module is used to perform cross-correlation processing on the devices at the two end stations and to perform data consistency verification on the data between the devices; The local zero baseline cross-correlation module is used to perform local zero baseline cross-correlation data processing on the measuring station equipment when there is inconsistency in the results of the data consistency check.
7. The device phase anomaly detection system based on cross-correlation phase according to claim 6, characterized in that: The equipment at both ends of the measuring station is cross-correlated and the data consistency check is performed on the data between the equipment, including: The prior model is used to perform cross-correlation processing on the equipment at both ends of the measuring station, and the data consistency check is performed on the data between each device.
8. The device phase anomaly detection system based on cross-correlation phase according to claim 7, characterized in that: Perform local zero baseline cross-correlation data processing on the station equipment, including: The local zero baseline data is used for cross-correlation processing to detect the consistency of the phase delay of the equipment at the measuring station within the observation arc; Perform multi-channel phase detection on the zero-baseline cross-correlation data to determine the consistency of the phase in the entire observation arc and obtain the cross-correlation phase result; The cross-correlation phase result is used to perform device detection.
9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the device phase anomaly detection method based on cross-correlation phase as described in any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the computer-readable storage medium implements the device phase anomaly detection method based on cross-correlation phase as described in any one of claims 1 to 5.