A method, device and storage medium for constructing a latitude-adaptive ionospheric scintillation random model
Patent Information
- Application Number
- CN202610961195.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-30
- Publication Date
- 2026-10-09
AI Technical Summary
然而，该方法存在显著缺陷：高度依赖昂贵的专用ISMR设备，模型普适性差、应用成本高；未能考虑电离层闪烁特性随地理纬度的变化规律，缺乏自适应机制，难以在闪烁特性迥异的低纬和高纬地区同时保持最优性能
本申请实施例提供的纬度自适应电离层闪烁随机模型构建方法，通过利用广泛分布的测地型GNSS接收机的双频观测数据构建ROTI指数，并引入基于地理纬度的自适应参数机制，解决了设备依赖性强、应用成本高的瓶颈，通过为低纬度和高纬度地区分别拟合优化的模型参数集，并根据接收机位置自动切换，有效克服了传统模型对电离层闪烁随纬度变化的特性适应性不足的缺陷，显著提升精密单点定位在闪烁事件期间的定位精度与鲁棒性。
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Figure CN122883203A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of precise single-point positioning technology, and more specifically, to a method, apparatus, device, and storage medium for constructing a latitude-adaptive ionospheric scintillation stochastic model. Background Technology
[0002] Precise Point Positioning (PPP) technology of Global Navigation Satellite System (GNSS) can provide high-precision position, velocity, and time information globally, and is widely used in surveying, exploration, autonomous driving, and other fields. However, the positioning accuracy of PPP is highly susceptible to ionospheric delay errors, with ionospheric scintillation being one of the main factors leading to performance degradation. Ionospheric scintillation is a rapid random fluctuation in the amplitude and phase of a GNSS signal as it passes through the ionosphere due to the presence of irregularities. This phenomenon is particularly frequent and severe in low-latitude regions near the magnetic equator and high-latitude polar regions. When scintillation occurs, the receiver's ability to track the signal decreases, leading to a sharp increase in observation noise. This can cause the positioning accuracy of PPP to deteriorate from the centimeter level to the decimeter or even meter level, severely limiting its reliable application under complex space weather conditions.
[0003] To suppress observation noise, PPP requires the use of stochastic models to reasonably weight observations. Traditional methods generally employ elevation angle stochastic models, which perform well during ionospheric calm periods. However, during scintillation events, even with high satellite elevation angles, signal quality can severely deteriorate, causing the model to fail. The academic community has proposed a stochastic model based on tracking error variance (Conker). This model constructs the variance using scintillation parameters directly output from a dedicated ionospheric scintillation monitoring receiver (ISMR), effectively improving positioning accuracy during scintillation events. However, this method has significant drawbacks: it heavily relies on expensive dedicated ISMR equipment, resulting in poor model universality and high application costs; it fails to consider the variation of ionospheric scintillation characteristics with geographical latitude, lacks an adaptive mechanism, and struggles to maintain optimal performance simultaneously in low-latitude and high-latitude regions with vastly different scintillation characteristics. Therefore, developing an ionospheric scintillation stochastic model that does not rely on dedicated equipment and can adapt to latitude variations has become an urgent need to improve the robustness of global GNSS services. Summary of the Invention
[0004] In view of at least one defect or improvement need of the prior art, the present invention provides a method, apparatus, device and storage medium for constructing a latitude-adaptive ionospheric scintillation stochastic model, which can solve at least one of the problems existing in the background art.
[0005] To achieve the above objectives, according to a first aspect of the present invention, a method for constructing a latitude-adaptive ionospheric scintillation stochastic model is provided, the method comprising: S1. Obtain the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; S2. Calculate the ionospheric scintillation index based on the phase observations; S3. Obtain the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver; S4. Based on the geographical latitude information of different geodesic receivers, construct a stochastic model for precise single-point positioning calculation using the ionospheric scintillation index and the carrier phase scintillation component of the corresponding latitude.
[0006] Furthermore, in the above-mentioned latitude-adaptive ionospheric scintillation stochastic model construction method, the calculation of the ionospheric scintillation index specifically includes: Calculate the first Geometrically non-geometrically distanced combination of observations at each epoch
[0007]
[0008] in and For phase observations, and The wavelength corresponding to the phase observation value; Calculate the rate of change of total electron content in the ionosphere
[0009]
[0010] in The time difference between epochs and for and The frequency of the carrier wave; According to the formula
[0011] calculate N Within an epoch The standard deviation is used to obtain the ionospheric scintillation index. Value, of which, N The epoch number within the sliding window. for N Between the calendar years expect.
[0012] Furthermore, in the above-mentioned method for constructing a latitude-adaptive ionospheric scintillation stochastic model, the... The sampling rate of the value is the first sampling rate, and the calculation is performed according to the first time interval of the sliding window. The cutoff elevation angle is the preset first elevation angle.
[0013] Furthermore, in the above-mentioned latitude-adaptive ionospheric scintillation stochastic model construction method, the stochastic model for precise single-point positioning calculation is constructed by combining the ionospheric scintillation index with the carrier phase scintillation component of the corresponding latitude. The resulting latitude-adaptive ionospheric scintillation stochastic model expression is as follows:
[0014] in, , , and The specific parameter values corresponding to the selected parameter set.
[0015] Furthermore, in the above-mentioned latitude-adaptive ionospheric scintillation stochastic model construction method, if the receiver latitude is between 20°S and 20°N, then a low-latitude parameter set { is selected}. =0.7780, =0.3860, =0.6140, =0.3297}.
[0016] Furthermore, in the above-mentioned latitude-adaptive ionospheric scintillation stochastic model construction method, if the receiver latitude is between 60°N and 90°N or between 60°S and 90°S, then a high-latitude parameter set is selected { =0.5340, =0.3607, 0.6393, =0.3592}.
[0017] Furthermore, the above-mentioned latitude-adaptive ionospheric scintillation stochastic model construction method, after constructing a stochastic model for precise single-point positioning calculation, calculates precise single-point positioning under ionospheric scintillation based on the stochastic model.
[0018] According to a second aspect of the present invention, a latitude-adaptive ionospheric scintillation stochastic model construction apparatus is also provided, comprising: The first data acquisition module is used to acquire the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; The calculation module is used to calculate the ionospheric scintillation index based on the phase observation values; The second data acquisition module is used to acquire the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver. The model building module is used to construct a stochastic model for precise single-point positioning calculation based on the geographical latitude information of different geodesic receivers, including their ionospheric scintillation index and the carrier phase scintillation component at the corresponding latitude.
[0019] According to a third aspect of the present invention, a latitude-adaptive ionospheric scintillation random model construction device is also provided, comprising at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program that, when executed by the processing unit, causes the processing unit to perform the steps of any of the methods described above.
[0020] According to a fourth aspect of the invention, a storage medium is also provided, which stores a computer program executable by a latitude-adaptive ionospheric scintillation stochastic model building device, wherein when the computer program is run on the latitude-adaptive ionospheric scintillation stochastic model building device, the latitude-adaptive ionospheric scintillation stochastic model building device performs the steps of any of the methods described above.
[0021] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: The latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application constructs a model using dual-frequency observation data from widely distributed geodesic GNSS receivers. ROTI The index, and the introduction of an adaptive parameter mechanism based on geographic latitude, solves the bottlenecks of strong equipment dependence and high application cost. By fitting optimized model parameter sets for low-latitude and high-latitude regions respectively, and automatically switching according to the receiver position, it effectively overcomes the shortcomings of traditional models in adapting to the latitude-dependent characteristics of ionospheric scintillation, and significantly improves the positioning accuracy and robustness of precise single-point positioning during scintillation events. Attached Figure Description
[0022] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0023] Figure 1 A flowchart illustrating a method for constructing a latitude-adaptive ionospheric scintillation stochastic model provided in this application embodiment; Figure 2 Scatter plots of phase scintillation components and ROTI index calculated for low-latitude and high-latitude stations provided in this application embodiment; Figure 3 A comparison of positioning accuracy and number of flickering events for the low-latitude HNLW station EAS, Conker, and LatAdapt_Conker models provided in the embodiments of this application; Figure 4A diagram showing the comparison of positioning accuracy and the number of flickering events for the high-latitude ARCC station EAS, Conker, and LatAdapt_Conker models provided in the embodiments of this application. Detailed Implementation
[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.
[0025] The terms "first," "second," "third," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.
[0026] Figure 1 A flowchart illustrating a method for constructing a latitude-adaptive ionospheric scintillation stochastic model provided in this application embodiment is shown below. Figure 1 As shown in the figure, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application includes the following steps: S1. Obtain the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; S2. Calculate the ionospheric scintillation index based on the phase observations; S3. Obtain the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver; S4. Based on the geographical latitude information of different geodesic receivers, construct a stochastic model for precise single-point positioning calculation using the ionospheric scintillation index and the carrier phase scintillation component of the corresponding latitude.
[0027] Specifically, this application provides a method for constructing a latitude-adaptive ionospheric scintillation stochastic model. This method utilizes widely distributed geodesic GNSS receivers to construct a stochastic model that does not rely on a dedicated ionospheric scintillation monitoring receiver, thereby improving the performance of precise single-point positioning in an ionospheric scintillation environment.
[0028] Observational data is acquired from multiple geodesic receivers distributed globally. This data is typically stored in RINEX format, from which dual-frequency carrier phase observations are extracted. and Simultaneously, the precise geographic latitude information is obtained from the station's metadata. In one specific setting of this embodiment, the cutoff elevation angle is set to 10° during data preprocessing, and a sampling rate of 30 seconds is used.
[0029] Ionospheric disturbances are caused by Measurable. Characterized the total electron content of the ionosphere The rapid changes are closely related to flickering. Defined as rate( The standard deviation over a period of time, specifically the ionospheric scintillation index. The calculation process is as follows: First, calculate each epoch. i Geometrically incompatible combined observations
[0030]
[0031] Among them, and For phase observations, and This represents the wavelength corresponding to the phase observation value.
[0032] Calculate the rate of change of total electron content in the ionosphere
[0033]
[0034] in The time difference between epochs, in minutes. and for and The frequency of the carrier wave, The unit is TECU / min.
[0035] Within a 5-minute sliding window (i.e.) N =10 epochs), calculate As an indicator of ionospheric disturbance during this period
[0036] in, N The epoch number within the sliding window. for N Between the calendar years expect.
[0037] To establish a universal model, during the model building phase of this embodiment, dedicated ISMR data from the same region and time period as the geodesic receiver needs to be collected simultaneously. Accurate carrier phase scintillation variance components are extracted from the data directly output by these dedicated receivers. These values will serve as training targets to establish a model that correlates with the values calculated by the geodesic receiver. The mathematical relationship between exponents.
[0038] Based on a large number of calculations Samples and the corresponding dimensions obtained Value samples were modeled separately for low-latitude and high-latitude regions. Least squares fitting and a Bisquare robust estimation strategy were used to fit the values. and From the piecewise functional relationship, we obtain the model expression:
[0039] Figure 2 Scatter plots of phase scintillation components and ROTI index calculated for low-latitude (left) and high-latitude (right) stations, as shown below. Figure 2 As shown, by fitting a dataset from a low-latitude region, a low-latitude parameter set { is obtained. =0.7780, =0.3860, =0.6140, =0.3297}.
[0040] By fitting a dataset from high-latitude regions, a high-latitude parameter set { is obtained}. =0.5340, =0.3607, 0.6393, =0.3592}.
[0041] The final latitude-adaptive ionospheric scintillation stochastic model, when applied, only requires input of the phase observations from a geodesic receiver and its geographic latitude, and is calculated... By automatically selecting one of the two sets of parameters based on latitude, the phase observation variance caused by ionospheric scintillation can be estimated in real time. By combining this variance with the traditional observation noise variance, a complete stochastic model can be formed for PPP filtering, thereby enabling adaptive suppression of ionospheric scintillation effects at different latitudes without relying on dedicated ISMR equipment.
[0042] The latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application constructs a model using dual-frequency observation data from widely distributed geodesic GNSS receivers. ROTI The index, and the introduction of an adaptive parameter mechanism based on geographic latitude, solves the bottlenecks of strong equipment dependence and high application cost. By fitting optimized model parameter sets for low-latitude and high-latitude regions respectively, and automatically switching according to the receiver position, it effectively overcomes the shortcomings of traditional models in adapting to the latitude-dependent characteristics of ionospheric scintillation, and significantly improves the positioning accuracy and robustness of precise single-point positioning during scintillation events.
[0043] Optionally, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application embodiment, wherein the calculation of the ionospheric scintillation index specifically includes: Calculate the first Geometrically non-geometrically distanced combination of observations at each epoch
[0044]
[0045] in and For phase observations, and The wavelength corresponding to the phase observation value; Calculate the rate of change of total electron content in the ionosphere
[0046]
[0047] in The time difference between epochs and for and The frequency of the carrier wave; According to the formula
[0048] calculate N Within an epoch The standard deviation is used to obtain the ionospheric scintillation index. Value, of which, N The epoch number within the sliding window. for N Between the calendar years expect.
[0049] Optionally, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application embodiment, wherein... The sampling rate of the value is the first sampling rate, and the calculation is performed according to the first time interval of the sliding window. The cutoff elevation angle is the preset first elevation angle.
[0050] Optionally, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application embodiment involves constructing a stochastic model for precise single-point positioning calculation based on the ionospheric scintillation index and the carrier phase scintillation component of the corresponding latitude. The resulting latitude-adaptive ionospheric scintillation stochastic model expression is as follows:
[0051] in, , , and The specific parameter values corresponding to the selected parameter set.
[0052] Optionally, in the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application embodiment, if the receiver latitude is between 20°S and 20°N, a low-latitude parameter set { =0.7780, =0.3860, =0.6140, =0.3297}.
[0053] Optionally, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application, if the receiver latitude is between 60°N and 90°N or between 60°S and 90°S, selects a high-latitude parameter set { =0.5340, =0.3607, 0.6393, =0.3592}.
[0054] Optionally, the latitude-adaptive ionospheric scintillation stochastic model construction method provided in this application constructs a stochastic model for precise single-point positioning calculation, and then calculates precise single-point positioning under ionospheric scintillation based on the stochastic model.
[0055] To verify the effectiveness of the latitude-adaptive ionospheric scintillation stochastic model, this application selected low-latitude stations HNLW ( Figure 3 ) and high-latitude stations ARCC ( Figure 4 Comparison of positioning accuracy on ionospheric calm days and scintillation days. Figure 3Low-latitude station HNLW data shows that during scintillation events, both the LatAdapt_Conker and EAS models effectively reduce the impact of scintillation on positioning errors, achieving accuracy comparable to the Conker model in some cases (days 44, 50, and 51). However, on days 45 and 49, the LatAdapt_Conker model's accuracy is lower than the Conker model, but still significantly better than the EAS model. During non-scintillation periods, both the Conker and LatAdapt_Conker models are comparable to the EAS model in accuracy. Therefore, the LatAdapt_Conker model essentially reaches the accuracy level of the Conker model, outperforming the EAS model during scintillation events and matching the EAS model during non-scintillation periods. Figure 4 According to the high-latitude station ARCC, the LatAdapt_Conker model performs at the same level as the Conker model, and both are more accurate than the EAS model. During flickering, the LatAdapt_Conker model shows a better improvement in positioning accuracy compared to the EAS model. During non-flickering, the positioning accuracy of the LatAdapt_Conker model is comparable to that of the EAS model.
[0056] This application also provides a latitude-adaptive ionospheric scintillation stochastic model construction device, including: The first data acquisition module is used to acquire the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; The calculation module is used to calculate the ionospheric scintillation index based on the phase observation values; The second data acquisition module is used to acquire the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver. The model building module is used to construct a stochastic model for precise single-point positioning calculation based on the geographical latitude information of different geodesic receivers, including their ionospheric scintillation index and the carrier phase scintillation component at the corresponding latitude.
[0057] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical disks, DVDs, CD-ROMs, microdrives, as well as magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic cards or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.
[0058] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.
[0059] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.
[0060] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some service interfaces; indirect couplings or communication connections between devices or units may be electrical or other forms.
[0061] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0062] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0063] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, 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. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.
[0064] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.
[0065] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of embodiments of this disclosure upon considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.
[0066] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0067] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A method for constructing a latitude-adaptive ionospheric scintillation stochastic model, characterized in that, Includes the following steps: S1. Obtain the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; S2. Calculate the ionospheric scintillation index based on the phase observations; S3. Obtain the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver; S4. Based on the geographical latitude information of different geodesic receivers, construct a stochastic model for precise single-point positioning calculation using the ionospheric scintillation index and the carrier phase scintillation component of the corresponding latitude.
2. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 1, characterized in that, The calculation of the ionospheric scintillation index specifically includes: Calculate the first Geometrically non-geometrically distanced combination of observations at each epoch in and For phase observations, and The wavelength corresponding to the phase observation value; Calculate the rate of change of total electron content in the ionosphere in The time difference between epochs and for and The frequency of the carrier wave; According to the formula calculate N Within an epoch The standard deviation is used to obtain the ionospheric scintillation index. Value, of which, N The epoch number within the sliding window. for N Between the calendar years expect.
3. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 2, characterized in that, The The sampling rate of the value is the first sampling rate, and the calculation is performed according to the first time interval of the sliding window. The cutoff elevation angle is the preset first elevation angle.
4. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 2, characterized in that, The stochastic model for precise single-point positioning is constructed by combining the ionospheric scintillation index with the carrier phase scintillation component of the corresponding latitude. The resulting latitude-adaptive ionospheric scintillation stochastic model expression is as follows: in, , , and The specific parameter values corresponding to the selected parameter set.
5. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 4, characterized in that, If the receiver latitude is between 20°S and 20°N, then select the low-latitude parameter set { =0.7780, =0.3860, =0.6140, =0.3297}.
6. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 4, characterized in that, If the receiver latitude is between 60°N and 90°N or between 60°S and 90°S, then select the high-latitude parameter set { =0.5340, =0.3607, 0.6393, =0.3592}.
7. The method for constructing a latitude-adaptive ionospheric scintillation stochastic model as described in claim 1, characterized in that, After constructing a stochastic model for precise single-point positioning calculation, precise single-point positioning under ionospheric scintillation is calculated based on the stochastic model.
8. A latitude-adaptive ionospheric scintillation stochastic model construction device, characterized in that, include: The first data acquisition module is used to acquire the phase observation values of different geodesic receivers and the geographical latitude information of the geodesic receiver; The calculation module is used to calculate the ionospheric scintillation index based on the phase observation values; The second data acquisition module is used to acquire the carrier phase scintillation component directly output by a low-latitude dedicated ionospheric scintillation monitoring receiver or a high-latitude dedicated ionospheric scintillation monitoring receiver. The model building module is used to construct a stochastic model for precise single-point positioning calculation based on the geographical latitude information of different geodesic receivers, including their ionospheric scintillation index and the carrier phase scintillation component at the corresponding latitude.
9. A latitude-adaptive ionospheric scintillation stochastic model construction device, characterized in that, The method includes at least one processing unit and at least one storage unit, wherein the storage unit stores a computer program that, when executed by the processing unit, causes the processing unit to perform the steps of the method according to any one of claims 1 to 7.
10. A storage medium, characterized in that, It stores a computer program executable by a latitude-adaptive ionospheric scintillation stochastic model building device, which, when run on the latitude-adaptive ionospheric scintillation stochastic model building device, causes the latitude-adaptive ionospheric scintillation stochastic model building device to perform the steps of the method according to any one of claims 1 to 7.