Method, system and equipment for testing performance of regional VGOS station network and medium

By acquiring and analyzing VGOS observation data and evaluating the station coordinates and motion parameters of the newly built VGOS station network, the problem of how to quickly test and evaluate the spatial benchmarking ability of the newly built VGOS station network is solved, and a rapid and objective test and evaluation of the spatial benchmarking ability of the newly built VGOS station network network is achieved.

CN119803527APending Publication Date: 2025-04-11CHINESE PEOPLES LIBERATION ARMY UNIT 63891
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Patent Information

Application Number
CN202411966591.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-28
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

How to quickly test and evaluate the spatial reference measurement capabilities of newly built regional VGOS station networks, especially when the precise station coordinates and station speeds are unknown under the international earth reference framework.

Method used

By acquiring VGOS observation data, the first observation data is used to obtain station coordinates and motion parameters, and then the i-th observation data is used to evaluate the measurement performance. The method includes multi-technical solution and comprehensive processing, using GNSS observation data as support data, and objective evaluation through external benchmark results.

Benefits of technology

A rapid test and evaluation of the cyberspace benchmarking capability of VGOS stations in the newly built area is realized, ensuring the objectivity and accuracy of the measurement performance, and avoiding the risk of passively introducing higher-precision auxiliary observation data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a method, a system, equipment and a medium for testing the testing performance of a regional VGOS station network, and the method comprises the following steps: obtaining VGOS observation data according to the regional VGOS station network; the VGOS observation data comprises first observation data observed through a regional VGOS station network in a first observation period and ith observation data observed through the VGOS station network in an ith observation period, and i is equal to 2, 3, 4,...; acquiring station coordinates and motion parameters of the regional VGOS station network by using the first observation data; and evaluating the measurement performance of the regional VGOS station network by using the ith observation data. According to the method, the external reference result is adopted to objectively evaluate the space reference determination capability of the newly-built regional VGOS station network, and meanwhile, on the premise of not passively introducing higher-precision auxiliary observation data, the calculation processing of the observation data of the newly-built regional VGOS station network can be realized, and the space reference determination capability of the newly-built regional VGOS station network can be rapidly tested and evaluated.
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Description

Technical Field

[0001] The present invention relates to the field of surveying and mapping navigation technology, and in particular to a method, system, equipment and medium for testing the performance of a regional VGOS station network. Background Art

[0002] Satellite navigation, spacecraft orbit determination, missile launch, etc. all need to be carried out under a highly reliable space reference. High-precision measurement of the geodetic reference frame / coordinate system (variation) is the basis for maintaining a highly reliable space reference. Among them, the existing technology involved is the application of very long-baseline interferometry (VLBI) in establishing and maintaining a space reference (geodetic reference frame). That is, by setting up multiple observation stations with as long baselines as possible, and observing radio sources outside the Milky Way at the same time, the extremely high-precision measurement of the angle between the baseline vector of the observation station and the azimuth vector of the radio source is achieved, and then the slight changes in the direction of the Earth's rotation axis in space (polar shift parameters) and the impact of this change on the coordinated universal time UTC (ΔUT1) are calculated, providing original observation data for the determination of Earth Orientation Parameters (EOP) such as polar shift and ΔUT1.

[0003] The International VLBI Service for Geodesy and Astrometry (IVS) organizes and coordinates global antennas to conduct observational research. In order to improve the measurement accuracy, IVS proposed a new generation of VGOS (VLBI Global Observation System), which has the characteristics of small antenna aperture (10m level), fast antenna rotation speed, wide observation bandwidth, high sensitivity, and fast data transmission. At the same time, in terms of observation data processing, VGOS observation data needs to be processed by VLBI observation data cross-correlation (DiFX software) and VLBI data analysis (VieVS ​​software, vSolve software). Due to the limited number of VGOS observations (generally no uninterrupted continuous observations), the determination of EOP usually requires GNSS observation data (for uninterrupted continuous observations) for synchronous support; GNSS observation data processing generally uses GAMIT / GLOBK, Bernese, GIPSY and other software. The observation data processing results of different observation technologies need to be integrated (EOP integration) and forecast processing.

[0004] In order to ensure that China has the ability to independently maintain the short-term measurement of space benchmarks, it is necessary to establish VGOS stations and observation networks with equivalent performance. In the case that the newly built regional VGOS station network does not participate in global joint observations, its precise station coordinates and station speeds under the International Terrestrial Reference Frame (ITRF) are unknown. How to quickly test and evaluate its space benchmark measurement capabilities is a key issue in this field. Summary of the invention

[0005] The purpose of the present invention is to provide a method, system, equipment and medium for testing the measurement performance of a regional VGOS station network, so as to solve the problem of how to quickly test and evaluate the spatial benchmark measurement capability of a newly built regional VGOS station network.

[0006] In order to solve the above technical problems, a technical solution adopted by the present invention is to provide a test method for measuring performance of a regional VGOS station network, the method comprising the following steps: obtaining VGOS observation data according to the regional VGOS station network; the VGOS observation data comprises the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the regional VGOS station network in the i-th observation period, i=2,3,4,...; using the first observation data, obtaining the station coordinates and motion parameters of the regional VGOS station network; using the i-th observation data, evaluating the measurement performance of the regional VGOS station network.

[0007] In some embodiments, the method further comprises the step of establishing the regional VGOS station network, wherein the regional VGOS station network comprises at least 3 VGOS observation stations.

[0008] In some embodiments, the use of the reference frame and the first observation data to obtain the station coordinates and motion parameters of the regional VGOS station network includes the steps of: translating and rotating the coordinate frame of the regional VGOS station network to make the obtained first observation data close to a first reference value, and obtaining a set of station coordinates and motion parameters of the regional VGOS station network aligned with the reference frame; wherein the first reference value is the earth orientation parameter obtained by the reference frame in the first observation period.

[0009] In some embodiments, the use of the i-th observation data to evaluate the measurement performance of the regional VGOS station network includes the steps of: obtaining an i-th forecast parameter sequence, wherein the i-th forecast parameter sequence is obtained based on the first observation data or the (i-1)-th comprehensive parameter sequence; obtaining an i-th comprehensive parameter sequence based on the i-th forecast parameter sequence and the i-th observation data, wherein the i-th comprehensive parameter sequence includes the earth orientation parameters of each day; comparing and analyzing the i-th comprehensive parameter sequence with a reference sequence to obtain a spatial benchmark assessment result of the regional VGOS station network; wherein the reference sequence includes the EOP reference value of the i-th observation period.

[0010] In some embodiments, the obtaining of the i-th comprehensive parameter sequence according to the i-th forecast parameter sequence and the i-th observation data comprises the steps of: using the GNSS observation data obtained in the i-th observation period of the GNSS station network as supporting data, and performing multi-technology solution and comprehensive processing on the i-th observation data and the GNSS observation data to obtain the i-th comprehensive parameter sequence; wherein the multi-technology solution comprises a VGOS technology solution for the i-th observation data and a GNSS technology solution for the GNSS observation data, and the i-th comprehensive parameter sequence comprises a solution result for the i-th observation data and a solution result for the GNSS observation data of the i-th observation period.

[0011] In some embodiments, the i-th observation data is the earth orientation parameter of the observation day in the i-th observation cycle; the multi-technology solution of the i-th observation data and the GNSS observation data includes: taking the i-th forecast parameter sequence as the initial value, and adopting the parameter constraint value, with the first observation solution value obtained by the VGOS technology solution as a reference, so that the second observation solution value obtained by the GNSS technology solution is close to the first observation solution value; wherein the first observation solution value is the earth orientation parameter obtained by solving the i-th observation data, and the second observation solution value is the earth orientation parameter obtained by solving the GNSS observation data of the observation day.

[0012] In some embodiments, the comparative analysis of the i-th comprehensive parameter sequence and the reference sequence to obtain the spatial benchmark assessment result of the regional VGOS station network includes the steps of: using the reference sequence to obtain an EOP residual sequence; the EOP residual sequence includes EOP residual values ​​corresponding to each observation period except the first observation period, and the EOP residual value is the difference between the first observation solution value and the corresponding EOP reference value in the reference sequence; using the EOP residual sequence, calculating the spatial benchmark assessment result of the regional VGOS station network; wherein the spatial benchmark assessment result can be expressed as:

[0013]

[0014] Where n represents the total number of observation periods; represents the first observation solution value of the i-th observation period; e i represents the EOP reference value of the i-th observation period.

[0015] The present invention also provides a test system for measuring performance of a regional VGOS station network, the system comprising: a data acquisition unit, used to acquire VGOS observation data according to the regional VGOS station network; the VGOS observation data include the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the regional VGOS station network in the i-th observation period, i=2,3,4,...; a first analysis unit, used to acquire the station coordinates and motion parameters of the regional VGOS station network using the first observation data; and a second analysis unit, used to evaluate the measurement performance of the regional VGOS station network using the i-th observation data.

[0016] 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 the steps of the above method when executing the computer program.

[0017] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0018] The beneficial effects of the present invention are as follows: the present invention discloses a test method, system, equipment and medium for measuring performance of a regional VGOS station network, the method comprising the following steps: obtaining VGOS observation data according to the regional VGOS station network; the VGOS observation data comprises the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the VGOS station network in the i-th observation period, i=2,3,4,...; obtaining the station coordinates and motion parameters of the regional VGOS station network by using the first observation data; and evaluating the measuring performance of the regional VGOS station network by using the i-th observation data. The method adopts external (internationally published) benchmark results to objectively evaluate the spatial benchmark measuring capability of the newly-built regional VGOS station network, and at the same time, without passively introducing higher-precision auxiliary observation data, can realize the solution processing of the observation data of the newly-built VGOS station network, and can quickly test and evaluate the spatial benchmark measuring capability of the newly-built regional VGOS station network. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of an embodiment of a test method for measuring performance of a regional VGOS station network according to the present invention;

[0020] Figure 2 It is a schematic diagram of the composition of a regional VGOS station network in an embodiment of a test method for measuring performance of a regional VGOS station network of the present invention;

[0021] Figure 3 It is a schematic diagram of the principle of an embodiment of a test method for measuring performance of a regional VGOS station network according to the present invention;

[0022] Figure 4 It is a flow chart of step S3 in an embodiment of a test method for measuring performance of a regional VGOS station network of the present invention;

[0023] Figure 5 It is a flow chart of step S33 in an embodiment of a test method for measuring performance of a regional VGOS station network of the present invention;

[0024] Figure 6 It is a block diagram of a test system for measuring performance of a regional VGOS station network according to the present invention;

[0025] Figure 7 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention;

[0026] Figure 8 It is a schematic block diagram of an embodiment of a computer-readable storage medium of the present invention. DETAILED DESCRIPTION

[0027] In order to facilitate the understanding of the present invention, the present invention is described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the present invention are provided in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0028] It should be noted that, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this specification includes any and all combinations of one or more related listed items.

[0029] like Figure 1 As shown, a method for testing the performance of a regional VGOS station network of the present invention is shown, and the method comprises the following steps:

[0030] Step S1: Obtain VGOS observation data based on the regional VGOS station network.

[0031] It should be noted that the VGOS observation data include the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the regional VGOS station network in the i-th observation period, i = 2, 3, 4, .... Among them, the first observation data and the i-th observation data specifically include earth orientation parameters such as polar motion and ΔUT1.

[0032] At the same time, the present invention is mainly applicable to the rapid (short-term, about 1 month) test and evaluation of the spatial reference (EOP) measurement capability of a newly-built regional VGOS station network (more than 3 observation stations). It is necessary to adopt the corresponding data processing technology or software mentioned in the background technology to perform VLBI observation data cross-correlation processing, VLBI data analysis processing, GNSS data analysis processing, EOP comprehensive solution, EOP forecast and other observation data analysis processing.

[0033] Therefore, before step S1, the method further includes the step of establishing a regional VGOS station network, wherein the regional VGOS station network includes at least three VGOS observation stations.

[0034] like Figure 2 and Figure 3 As shown, in this embodiment, a newly built regional VGOS station network consisting of three newly built VGOS observation stations 1 is taken as the test object, its spatial reference independent measurement capability is taken as the test target, and (T0+1) day is taken as the test start date. The newly built regional VGOS station network is used to conduct observations in the first observation cycle to obtain the first observation data; then, the newly built regional VGOS station network is used to conduct observations in the next three observation cycles in sequence to obtain the second observation data, the third observation data and the fourth observation data, respectively.

[0035] Furthermore, after the test starts (after T0+1 day), the test condition is that the International Earth Rotation and Reference Systems Service (IERS) observation data and EOP product update information (IERS C04 EOP sequence) will no longer be input.

[0036] Among them, the IERS C04 EOP sequence is an Earth Orientation Parameters (EOP) sequence released by the International Earth Rotation and Reference Service (IERS). This sequence is mainly used to describe the motion of the Earth relative to inertial space, including parameters such as polar motion and day length change. These parameters are converted to and from effective angular momentum (EAM) through the Liouville equation. EAM includes atmospheric angular momentum (AAM), ocean angular momentum (OAM), terrestrial water angular momentum (HAM) and sea level angular momentum (SLAM). Through the joint analysis of EAM and GNSS observation data, the forecast accuracy of EOP can be effectively improved, especially in the forecast of 1 to 7 days.

[0037] like Figure 3 As shown in the figure, one observation cycle is one week (7 days), and one or more regional VGOS station network VGOS observations are organized every week. According to the above test conditions, from T0+1 to T0+28 (the observation time can be extended according to actual conditions), combined with the actual conditions of each VGOS observation station 1, a total of 4 or more regional VGOS station network VGOS observations are organized. Among them, the red blocks in the figure are assumed VGOS observation days, and each observation starts at around 8:00 am Beijing time (UTC 0:00) and lasts for 24 hours.

[0038] In this embodiment, three newly built VGOS observation stations 1 are used to form a stable triangular structure of the newly built regional VGOS station network, which is beneficial to the subsequent determination of the station coordinates and motion parameters of the newly built regional VGOS station network.

[0039] Step S2: Using the first observation data, obtain the station coordinates and motion parameters of the regional VGOS station network.

[0040] It should be noted that EOP is directly related to the overall motion (translation and rotation) of the Very Long Baseline Interferometry (VLBI) network, so high-precision VLBI station coordinates are a prerequisite for conducting EOP measurement capability testing and evaluation. Taking the IERSC04 EOP sequence as the comparison benchmark for the observation processing results of the measured station network, the coordinate frame of the measured station network needs to be converted and unified to the international earth reference frame ITRF adopted by the IERS C04 EOP sequence, so as to obtain the initial values ​​of the station coordinates and station velocities of the measured station network in the international earth reference frame ITRF.

[0041] Therefore, in this application, the reference frame and the first observation data are used to obtain the station coordinates and motion parameters of the regional VGOS station network. Among them, the reference frame adopts the international terrestrial reference frame ITRF, and the above principles need to be used to solve the station coordinates and motion parameters of the regional VGOS station network. Among them, the station coordinates refer to the coordinates of each VGOS observation station 1 that constitutes the regional VGOS station network under the international terrestrial reference frame ITRF; the motion parameters include the initial velocity value of the station network frame as a whole, and the station velocity of each VGOS observation station 1.

[0042] The regional VGOS station network frame is translated and rotated to make the first observation data obtained close to the reference value in the IERS C04 EOP sequence corresponding to the first observation period, and a set of station coordinates and motion parameters of the newly built regional VGOS station network aligned with the reference frame are obtained.

[0043] In this embodiment, the observation data of the first week (i.e., (T0+1) to (T0+7)) is used to calculate the conversion model of the regional VGOS station network to the International Terrestrial Reference Frame ITRF, so as to obtain the station coordinates and motion parameters of the appropriate regional VGOS station network, and determine the specific station locations of the three VGOS observation stations 1 and the motion of the regional VGOS station network framework.

[0044] Specifically, by adopting the no-net-translation (NNT) and no-net-rotation (NNR) constraints and adjusting the translation and rotation of the regional VGOS station network frame composed of the three VGOS observing stations 1, the EOP value solved by the first regional VGOS station network observation is made sufficiently close to the reference value in the IERS C04 EOP sequence of the week (the difference is tens of microarcseconds and more than ten microseconds), thereby obtaining a set of station coordinates and motion parameters of the regional VGOS station network aligned with the international terrestrial reference frame ITRF, that is, obtaining a conversion model from the newly built regional VGOS station network frame to the international terrestrial reference frame ITRF.

[0045] Among them, considering that the observation time of rapid inspection is relatively concentrated and the cycle is relatively short (generally about one month), the station speed of each VGOS observation station 1 can be set to zero, that is, in the subsequent VGOS observation data solution, the station coordinates and motion parameters determined by the first week of VGOS observation data are always used.

[0046] It should be noted that due to the existence of overall rotation and translation, the station coordinates solved using the first week of observation data cannot represent the true coordinates of each VGOS observation station 1. The coordinates must be further corrected by the frame motion parameters to represent their true coordinates.

[0047] Step S3: Using the i-th observation data, evaluate the measurement performance of the regional VGOS station network.

[0048] It should be noted that, except for the first observation cycle, each subsequent observation cycle is used to test and evaluate the measurement performance of the regional VGOS station network, which is mainly reflected in the evaluation of the EOP measurement capability of the regional VGOS station network.

[0049] Specifically, if Figure 4 As shown, step S3 includes the following sub-steps:

[0050] Step S31: Obtain the i-th prediction parameter sequence.

[0051] It should be noted that, when i=2, the i-th prediction parameter sequence is obtained based on the prediction of the first observation data; when i>2, the i-th prediction parameter sequence is obtained based on the prediction of the (i-1)th comprehensive parameter sequence.

[0052] In this embodiment, before processing the second observation data obtained in the second week (i.e., (T0+8) to (T0+14)), based on the multi-technology solution and comprehensive processing results of the first observation data and the GNSS observation data of the first observation period, the second forecast parameter sequence from (T0+1) to the next week (generally the forecast period is 90 days, T0+8 to T0+97) is forecast as the initial value of the subsequent multi-technology solution.

[0053] Furthermore, before processing the third observation data obtained in the third week (i.e., (T0+15) to (T0+21)), the second comprehensive parameter sequence obtained after the second forecast parameter sequence in step S32 is used as the basis to forecast the third forecast parameter sequence for one week after (T0+8) as the initial value of the subsequent multi-technical solution. The subsequent observation periods are deduced in the same way, which will not be described in detail here.

[0054] Step S32: Obtain the i-th comprehensive parameter sequence according to the i-th forecast parameter sequence and the i-th observation data.

[0055] It should be noted that the i-th comprehensive parameter sequence includes the Earth orientation parameters (polar motion data and ΔUT1) of each day. The VGOS station network is more capable of measuring small changes in polar motion, and the GNSS station network is more capable of measuring time changes. If VGOS observations are only carried out once a week, there will be a gap in the other 6 days. GNSS observation data is of great significance for EOP determination during non-VGOS observation periods, and the relationship between the two can be complementary.

[0056] like Figure 3 As shown in the figure, for the last three observation periods, the GNSS observation data of the same observation period of the domestic GNSS station network (such as LTW road state network, etc.) are downloaded as supporting data.

[0057] In this embodiment, the i-th observation data and GNSS observation data obtained in the i-th observation period are subjected to multi-technique solution and comprehensive processing, so as to obtain the i-th comprehensive parameter sequence composed of the earth orientation parameters of each day. The multi-technique solution includes VGOS technology solution for the i-th observation data and GNSS technology solution for the GNSS observation data.

[0058] Specifically, by performing VGOS technical solution on the i-th observation data, a first solution value can be obtained; the first solution value includes the first observation solution value of the observation day (observation time) corresponding to the i-th observation data, and the earth orientation parameters corresponding to the unobserved day (unobserved time) of the regional VGOS station network in the i-th observation period are calculated; the GNSS observation data obtained by the GNSS station network are accurate results of daily observations, and the GNSS observation data are solved by GNSS technology to obtain a second solution value, which includes the second observation solution value corresponding to the observation day, and the earth orientation parameters corresponding to the unobserved day in the i-th observation period. Among them, the first observation solution value is the earth orientation parameter obtained by solving the i-th observation data on the corresponding observation day, and the second observation solution value is the earth orientation parameter obtained by solving the GNSS observation data on the corresponding observation day.

[0059] Among them, the i-th forecast parameter sequence is used as the initial value, combined with the rapid forecast ephemeris (IGR, which is not used because the precise ephemeris is released later), and a unified parameter constraint value is adopted. The first observation solution value obtained by VGOS technical solution is used as a reference, so that the second observation solution value obtained by GNSS technical solution is closer to the first observation solution value.

[0060] Furthermore, the obtained first solution value and the second solution value may be subjected to comprehensive processing to ensure the continuity of each EOP value in the obtained i-th comprehensive parameter sequence.

[0061] It should be noted that after obtaining the comprehensive parameter sequence of the current observation period, the process can return to step S31 to forecast the forecast parameter sequence of the subsequent observation period, thereby ensuring the integrity of the data during forecast processing (providing initial values ​​for solving the data of each week).

[0062] In this embodiment, the reason why domestic GNSS station network data is introduced instead of global GNSS station network data is that, on the one hand, the domestic GNSS station network and the newly built regional VGOS station network are located in a similar regional reference frame, which can avoid introducing a higher-precision benchmark in the test, resulting in passive correction of the spatial benchmark measurement results of the newly built regional VGOS station network, resulting in loss of objectivity in the test and evaluation of the newly built regional VGOS station network; on the other hand, it takes into account the autonomous controllability of VGOS observation data acquisition under extreme conditions (problems with foreign station networks).

[0063] Step S33: Compare and analyze the ith comprehensive parameter sequence and the reference sequence to obtain the spatial benchmark assessment result of the regional VGOS station network.

[0064] It should be noted that the reference sequence includes the EOP reference value for each day in the i-th observation cycle. When evaluating the accuracy of the i-th comprehensive parameter sequence obtained, the first observation solution value corresponding to the VGOS observation data obtained on the VGOS observation day (VGOS EOP solution date) and the difference between the corresponding EOP reference value in the reference sequence (i.e., the EOP residual value) are used as the basis for evaluation, thereby obtaining the spatial benchmark assessment result for evaluating the spatial benchmark determination results of the regional VGOS station network. The spatial benchmark determination results of the regional VGOS station network are reflected in the first solution value obtained by solving the VGOS observation data of each week; the spatial benchmark assessment result can evaluate the accuracy of the first solution value. The smaller the value of the spatial benchmark assessment result, the higher the accuracy of the first solution value, that is, the stronger the spatial benchmark determination performance of the regional VGOS station network.

[0065] Among them, when objectively evaluating the spatial benchmark measurement capability of the regional VGOS station network, an externally consistent precision statistical method is used, and the reference sequence uses the IERS C04 EOP sequence obtained from global observations released by IERS C04, which can accurately evaluate the spatial benchmark measurement capability of the regional VGOS station network.

[0066] Specifically, if Figure 5 As shown, step S33 includes the following sub-steps:

[0067] Step S331: using the reference sequence to obtain an EOP residual sequence.

[0068] It should be noted that the EOP residual sequence includes the EOP residual values ​​corresponding to each observation period, and the EOP residual value is the difference between the first observation solution value and the corresponding EOP reference value in the reference sequence. An EOP residual value in the EOP residual sequence can be obtained for each observation period, and the EOP residual value includes each EOP component (polar shift x, polar shift y and ΔUT1).

[0069] Combination Figure 3 Taking the IERS C04 EOP sequence as the comparison benchmark, the first observation solution value obtained by the single VLBI system in the second week and every week thereafter (UTC 0:00 on the date when the VGOS observation result is released) is subtracted from the EOP result of the corresponding date in the IERS C04EOP sequence to obtain the EOP residual sequence.

[0070] In this embodiment, the EOP residual sequence can be expressed as:

[0071] E = {E2, E3, E4};

[0072] Among them, E2 represents the EOP residual value of the second observation period; E3 represents the EOP residual value of the third observation period; E4 represents the EOP residual value of the fourth observation period.

[0073] Step S332: Calculate the spatial benchmark assessment result of the regional VGOS station network using the EOP residual sequence.

[0074] In the present application, the EOP residual sequence obtained in step S331 can be used to further calculate the root mean square of each EOP component, which is the spatial benchmark assessment result of the regional VGOS station network.

[0075] Therefore, the spatial benchmark assessment result can be expressed as:

[0076]

[0077] Where n represents the total number of observation periods; represents the first observed solution value of the i-th observation period; e i Represents the EOP reference value of the i-th observation period.

[0078] In this embodiment, n = 4. The spatial benchmark assessment result of the regional VGOS station network can be obtained by calculating the root mean square of each EOP component in the last three observation periods using the calculation formula of the spatial benchmark assessment result.

[0079] It should be noted that the smaller the value of the spatial benchmark assessment result, the better the measurement performance of the regional VGOS station network.

[0080] In this application, external (internationally published) benchmark results are used to objectively evaluate the spatial benchmark measurement capability of the newly built regional VGOS station network. At the same time, without passively introducing higher-precision auxiliary observation data, the observation data of the newly built VGOS station network is solved and processed, which can quickly test and evaluate the spatial benchmark measurement capability of the newly built regional VGOS station network.

[0081] It should be noted that this method can also be used to test and evaluate the short-term spatial benchmark measurement capability of the domestic VLBI regional station network. In addition, if the domestic satellite laser ranging (SLR) observation data of the same period is introduced for EOP comprehensive processing, and the EOP comprehensive processing results are compared with the internationally published results, the short-term spatial benchmark measurement capability of the domestic VLBI / GNSS / SLR full technology can be tested and evaluated.

[0082] Based on the same inventive concept, Figure 6 As shown, the present invention also provides a test system for measuring performance of a regional VGOS station network, the system comprising:

[0083] The data acquisition unit 101 is used to acquire VGOS observation data according to the regional VGOS station network; the VGOS observation data includes the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the regional VGOS station network in the i-th observation period, i=2,3,4,...

[0084] The first analysis unit 102 is used to obtain the station coordinates and motion parameters of the regional VGOS station network using the first observation data.

[0085] The second analysis unit 103 is used to evaluate the measurement performance of the regional VGOS station network using the i-th observation data.

[0086] In the present application, other technical features of the above-mentioned regional VGOS station network performance measurement test system are the same as the features disclosed in the above-mentioned method embodiment, and will not be repeated here.

[0087] Based on the same inventive concept, the present application also provides an electronic device, which includes a processor, a memory and a communication circuit, and the processor is connected to the memory and the communication circuit respectively; wherein the communication circuit is used for communication connection, the memory is used to store a computer program, and the processor is used to execute the computer program to implement the above method.

[0088] See also Figure 7 The electronic device described in the embodiment of the present application may specifically include a processor 210 and a memory 220. The memory 220 is coupled to the processor 210.

[0089] The processor 210 is used to control the operation of the electronic device. The processor 210 may also be referred to as a CPU (Central Processing Unit). The processor 210 may be an integrated circuit chip having the ability to process signals. The processor 210 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. A general-purpose processor may be a microprocessor or the processor 210 may also be any conventional processor, etc.

[0090] The memory 220 is used to store computer programs, and may be a RAM, a ROM, or other types of storage terminals. Specifically, the memory 220 may include one or more computer-readable storage media, which may be non-transitory or transient. The memory 220 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage terminals, flash memory storage terminals. In some embodiments, the non-transitory computer-readable storage medium in the memory 220 is used to store at least one program code.

[0091] The processor 210 is used to execute the computer program stored in the memory 220 to implement the methods described in the various method embodiments of the present application.

[0092] In some embodiments, the electronic device may further include: a peripheral terminal interface 230 and at least one peripheral terminal. The processor 210, the memory 220 and the peripheral terminal interface 230 may be connected via a bus or a signal line. Each peripheral terminal may be connected to the peripheral terminal interface 230 via a bus, a signal line or a circuit board. Specifically, the peripheral terminal includes: at least one of a radio frequency circuit 240, a display screen 250, an audio circuit 260 and a power supply 270.

[0093] The peripheral terminal interface 230 may be used to connect at least one peripheral terminal related to I / O (Input / output) to the processor 210 and the memory 220. In some embodiments, the processor 210, the memory 220, and the peripheral terminal interface 230 are integrated on the same chip or circuit board; in some other implementations, any one or two of the processor 210, the memory 220, and the peripheral terminal interface 230 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0094] The radio frequency circuit 240 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 240 communicates with the communication network and other IoT devices through electromagnetic signals, and the radio frequency circuit 240 is the communication circuit of the electronic device. The radio frequency circuit 240 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 240 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, an operator identity module card, and the like. The radio frequency circuit 240 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or a WiFi (Wireless Fidelity) network. In some embodiments, the radio frequency circuit 240 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0095] The display screen 250 is used to display the UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. When the display screen 250 is a touch display screen, the display screen 250 also has the ability to collect touch signals on the surface or above the surface of the display screen 250. The touch signal can be input to the processor 210 as a control signal for processing. At this time, the display screen 250 can also be used to provide virtual buttons and / or virtual keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the display screen 250 can be one, set on the front panel of the electronic device; in other embodiments, the display screen 250 can be at least two, respectively set on different surfaces of the electronic device or in a folding design; in other embodiments, the display screen 250 can be a flexible display screen, set on a curved surface or a folding surface of the electronic device. Even, the display screen 250 can also be set to a non-rectangular irregular shape, that is, a special-shaped screen. The display screen 250 can be made of materials such as LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode, organic light-emitting diode).

[0096] The audio circuit 260 may include a microphone and a speaker. The microphone is used to collect sound waves from the operator and the environment, and convert the sound waves into electrical signals and input them into the processor 210 for processing, or input them into the radio frequency circuit 240 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged in different parts of the electronic device. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 210 or the radio frequency circuit 240 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as ranging. In some embodiments, the audio circuit 260 may also include a headphone jack.

[0097] The power supply 270 is used to power various components in the electronic device. The power supply 270 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 270 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged through a wired line, and a wireless rechargeable battery is a battery that is charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0098] For a detailed description of the functions and execution processes of each functional module or component in the electronic device embodiment of the present application, reference can be made to the description in the above-mentioned method embodiments of the present application, which will not be repeated here.

[0099] In the several embodiments provided in the present application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the various embodiments of the electronic devices described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0100] 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 on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0101] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0102] Based on the same inventive concept, the present application also provides a computer-readable storage medium storing a computer program, which can be executed by a processor to implement the above method.

[0103] See also Figure 8 , if the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium 300. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions / computer programs to enable an IoT device (which can be a personal computer, server, or network terminal, etc.) or a processor (processor) to perform all or part of the steps of each implementation method of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and electronic terminals such as computers, mobile phones, laptops, tablet computers, cameras, etc. having the above-mentioned storage media.

[0104] The description of the execution process of the program data in the computer-readable storage medium can refer to the description in the above-mentioned method embodiments of the present application, and will not be repeated here.

[0105] It can be seen that the present invention discloses a test method, system, equipment and medium for measuring performance of a regional VGOS station network, the method comprising the following steps: obtaining VGOS observation data according to the regional VGOS station network; the VGOS observation data comprises the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the VGOS station network in the i-th observation period, i=2,3,4,...; using the first observation data, obtaining the station coordinates and motion parameters of the regional VGOS station network; using the i-th observation data, evaluating the measuring performance of the regional VGOS station network. The method adopts external (internationally published) benchmark results to objectively evaluate the spatial benchmark measuring capability of the newly built regional VGOS station network, and at the same time, without passively introducing higher-precision auxiliary observation data, it can realize the solution processing of the observation data of the newly built VGOS station network, and can quickly test and evaluate the spatial benchmark measuring capability of the newly built regional VGOS station network.

[0106] The above are only embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent structural transformations made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are included in the protection scope of the present invention.

Claims

1. A method for testing the performance of a regional VGOS station network, characterized in that: The method comprises the following steps: According to the regional VGOS station network, VGOS observation data are obtained; the VGOS observation data include the first observation data observed by the regional VGOS station network in the first observation period, and the i-th observation data observed by the regional VGOS station network in the i-th observation period, i=2, 3, 4, ...; Using the first observation data, obtaining station coordinates and motion parameters of the regional VGOS station network; The measurement performance of the regional VGOS station network is evaluated using the i-th observation data.

2. The testing method according to claim 1, characterized in that: The method further comprises the steps of: The regional VGOS station network is established, and the regional VGOS station network includes at least 3 VGOS observation stations.

3. The testing method according to claim 1, characterized in that: The method of using the first observation data to obtain the station coordinates and motion parameters of the regional VGOS station network comprises the steps of: The coordinate frame of the regional VGOS station network is translated and rotated so that the first observation data obtained is close to a first reference value, and a set of station coordinates and motion parameters of the regional VGOS station network aligned with the reference frame are obtained; wherein the first reference value is the earth orientation parameter obtained by the reference frame in the first observation period.

4. The testing method according to claim 1, characterized in that: The step of evaluating the measurement performance of the regional VGOS station network by using the i-th observation data comprises the following steps: Obtaining an i-th prediction parameter sequence, wherein the i-th prediction parameter sequence is obtained by forecasting the first observation data or the (i-1)-th comprehensive parameter sequence; According to the i-th forecast parameter sequence and the i-th observation data, an i-th comprehensive parameter sequence is obtained, wherein the i-th comprehensive parameter sequence includes the earth orientation parameters of each day; The i-th comprehensive parameter sequence and the reference sequence are compared and analyzed to obtain the spatial benchmark assessment result of the regional VGOS station network; wherein the reference sequence includes the EOP reference value of the i-th observation period.

5. The testing method according to claim 4, characterized in that: The step of obtaining the i-th comprehensive parameter sequence according to the i-th forecast parameter sequence and the i-th observation data comprises the following steps: The GNSS observation data obtained in the i-th observation period of the GNSS station network is used as supporting data, and the i-th observation data and the GNSS observation data are subjected to multi-technology solution and comprehensive processing to obtain the i-th comprehensive parameter sequence; wherein the multi-technology solution includes a VGOS technology solution for the i-th observation data and a GNSS technology solution for the GNSS observation data, and the i-th comprehensive parameter sequence includes a solution result for the i-th observation data and a solution result for the GNSS observation data of the i-th observation period.

6. The testing method according to claim 5, characterized in that: The i-th observation data is the earth orientation parameter of the observation day in the i-th observation period; The performing multi-technique solution on the i-th observation data and the GNSS observation data comprises: The i-th forecast parameter sequence is used as the initial value, and the parameter constraint value is adopted. The first observation solution value obtained by the VGOS technology solution is used as a reference, so that the second observation solution value obtained by the GNSS technology solution is brought closer to the first observation solution value; wherein the first observation solution value is the earth orientation parameter obtained by solving the i-th observation data, and the second observation solution value is the earth orientation parameter obtained by solving the GNSS observation data of the observation day.

7. The testing method according to claim 6, characterized in that: The step of comparing and analyzing the i-th comprehensive parameter sequence and the reference sequence to obtain the spatial benchmark assessment result of the regional VGOS station network comprises the following steps: Using the reference sequence, an EOP residual sequence is obtained; the EOP residual sequence includes EOP residual values ​​corresponding to each observation period except the first observation period, and the EOP residual value is the difference between the first observation solution value and the corresponding EOP reference value in the reference sequence; The spatial benchmark evaluation result of the regional VGOS station network is calculated by using the EOP residual sequence; wherein the spatial benchmark evaluation result can be expressed as: Where n represents the total number of observation periods; represents the first observation solution value of the i-th observation period; e i represents the EOP reference value of the i-th observation period.

8. A test system for measuring performance of a regional VGOS station network, characterized in that: The system comprises: A data acquisition unit is used to acquire VGOS observation data according to a regional VGOS station network; the VGOS observation data includes the first observation data observed by the regional VGOS station network in a first observation period, and the i-th observation data observed by the regional VGOS station network in an i-th observation period, i=2, 3, 4, ...; A first analysis unit, used to obtain station coordinates and motion parameters of the regional VGOS station network using the first observation data; The second analysis unit is used to evaluate the measurement performance of the regional VGOS station network using the i-th observation data.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.