Foundation space ionosphere and troposphere integrated joint detection method and device

Abstract

The invention discloses a foundation space ionosphere and troposphere integrated joint detection method and device, and belongs to the technical field of satellite navigation, and the method comprises the steps: detecting the vertical total electron content of an ionosphere: extracting the inclined total electron content of the ionosphere at an ionosphere puncture point, and converting the inclined total electron content into the vertical total electron content of the ionosphere; detecting a foundation Beidou ionosphere disturbance index; and detecting an ionosphere phase scintillation index, a troposphere zenith total delay, a troposphere precipitable amount and an ionosphere amplitude scintillation index, and outputting ground-based Beidou space ionosphere and troposphere integrated joint detection parameters. The method effectively improves the reliability, robustness and meteorological perception capability of a navigation positioning system in a complex atmospheric environment, and is especially suitable for special environmental conditions such as severe convection weather, typhoon landing, violent disturbance of an ionized layer and the like.

Description

Technical Field

[0001] The present invention belongs to the field of satellite navigation technology, and in particular relates to a ground-based space ionosphere and troposphere integrated joint detection method and device. Background Art

[0002] The ionosphere and troposphere are important components of the Earth's atmospheric system. Changes in their state have a significant impact on satellite navigation, precise positioning, remote sensing, weather forecasting and other fields. Changes in the distribution of free electrons in the ionosphere directly affect the propagation path and speed of the GNSS signal of the global navigation satellite system. Among them, the ionospheric total electron content (TEC) is the core parameter for measuring the state of the ionosphere. TEC can be inverted by multi-frequency GNSS carrier phase differential to describe the degree of ionospheric delay. In addition, spatial irregularities or small-scale disturbances within the ionosphere can cause rapid changes in the signal propagation path, manifested as phase scintillation and amplitude scintillation phenomena, corresponding to rapid fluctuations in phase and signal strength, respectively. Its typical indicator is the phase scintillation index ( ) and the amplitude flicker index ( Severe disturbances may cause receiver signal loss, frequent cycle slips, degradation of positioning performance, and even interruption of navigation services.

[0003] Correspondingly, tropospheric delay is another key error source in high-precision GNSS positioning and meteorological inversion. The troposphere introduces a delay of approximately 2-3 meters to GNSS signals. This delay can be decomposed into a dry delay (ZHD) and a wet delay (ZWD), the sum of which is the zenith total delay (ZTD). The ZWD component, in particular, is closely related to atmospheric water vapor. From this ZWD, the precipitable water volume (PWV) can be derived, which has important applications in numerical weather forecasting and rainfall monitoring.

[0004] The current mainstream technical means often separate the detection process of the ionosphere and the troposphere, and establish different models and processing procedures for each. For example, ionospheric TEC is mostly based on carrier phase difference decomposition, and ROTI is used for ionospheric disturbance monitoring. The index reflects the amplitude scintillation intensity; while ZTD and PWV rely more on independent calculations by GNSS weather stations. This "parameter isolation" approach ignores the correlation between ionospheric disturbances and tropospheric water vapor changes in the actual atmospheric system, resulting in abnormalities or mutual interference among various parameters during severe weather events (such as rainfall, convection, and solar activity). In high PWV environments or heavy rainfall events, the signal-to-noise ratio of the receiver signal decreases significantly due to the attenuation effect of the cloud and rain layer. The index exhibits falsely high indices due to factors other than the ionosphere, making it susceptible to misinterpretation as a strong ionospheric disturbance. Furthermore, strong ionospheric scintillation events can degrade the quality of observational data, interfering with the PPP solution and making the ZTD estimate unstable, thus affecting the accuracy of the PWV derivation. This cross-layer interference effect is particularly pronounced in tropical regions or during the summer monsoon, where ionospheric disturbances are frequent and water vapor is abundant. This significantly reduces the reliability and robustness of existing methods in these extreme environments. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a ground-based space ionosphere and troposphere integrated joint detection method and device, which aims to solve the problems of separate estimation of ionosphere and troposphere parameters, insufficient information utilization, and poor model correlation in the existing technology.

[0006] The specific technical solutions are:

[0007] A ground-based space ionosphere and troposphere integrated joint detection method comprises the following steps:

[0008] Step S1, obtaining the ionospheric tilt total electron content and converting it to the ionospheric vertical total electron content;

[0009] Step S2: Calculate the ionospheric disturbance index of each satellite using the tilted total electron content to calculate the ionospheric disturbance index;

[0010] Step S3, detecting the ionospheric phase scintillation index;

[0011] Step S4: extracting the tropospheric zenith total delay using the ionospheric disturbance index and the ionospheric phase scintillation index;

[0012] Step S5: Calculate the tropospheric dry delay and conversion factor, use the tropospheric zenith total delay to obtain the tropospheric wet delay, and extract the tropospheric precipitable water in combination with the conversion factor;

[0013] Step S6: Calculate the original ionospheric amplitude scintillation information and correct it using the precipitable water volume (PWV) to obtain the ionospheric amplitude scintillation index.

[0014] Step S7: Output ground-based Beidou space ionosphere-troposphere integrated joint detection parameters, including: ionospheric vertical total electron content, ionospheric disturbance index, ionospheric phase scintillation index, ionospheric amplitude scintillation index, tropospheric zenith total delay, and tropospheric precipitable water.

[0015] A ground-based space ionosphere and troposphere integrated joint detection device, comprising:

[0016] The ionospheric vertical total electron content detection module obtains the ionospheric inclined total electron content and converts it into the ionospheric vertical total electron content;

[0017] The disturbance index detection module calculates the ionospheric disturbance index of each satellite using the tilted total electron content and obtains the ionospheric disturbance index;

[0018] Phase scintillation index detection module, used to calculate the ionospheric phase scintillation index;

[0019] The tropospheric zenith total delay detection module extracts the tropospheric zenith total delay by combining the ionospheric disturbance index and the ionospheric phase scintillation index;

[0020] Tropospheric precipitable water detection module calculates the tropospheric dry delay and conversion factor, obtains the tropospheric wet delay using the tropospheric zenith total delay, and extracts the tropospheric precipitable water in combination with the conversion factor;

[0021] The ionospheric amplitude scintillation index detection module calculates the original ionospheric amplitude scintillation information and corrects it using the precipitable water amount to obtain the ionospheric amplitude scintillation index;

[0022] The detection parameter output module outputs the ground-based Beidou space ionosphere-troposphere integrated joint detection parameters, including: ionospheric vertical total electron content, ionospheric disturbance index, ionospheric phase scintillation index, ionospheric amplitude scintillation index, tropospheric zenith total delay, and tropospheric precipitable water.

[0023] An electronic device comprises: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the described method.

[0024] A computer-readable storage medium stores executable instructions, which, when executed by a processor, enable the processor to implement the method described above.

[0025] The beneficial effects of the present invention are:

[0026] The present invention achieves unified joint estimation of the ionospheric total electron content (TEC), ionospheric disturbance index (IDI), ionospheric amplitude scintillation index (IAM), ionospheric phase scintillation index (IPM), tropospheric zenith total delay (ZTD), and tropospheric precipitable water (PW). The present invention utilizes real-time estimation results of the ionospheric disturbance index (IDI) and ionospheric phase scintillation index (IPM) to optimize the tropospheric zenith total delay (ZTD) parameter estimation strategy. The present invention also utilizes tropospheric amplitude scintillation detection results to optimize the ionospheric amplitude scintillation detection strategy.

[0027] This method effectively solves the problems of parameter separation, information isolation, and difficulty in identifying error coupling in traditional methods. It can significantly improve GNSS positioning stability, meteorological parameter inversion accuracy, and space weather monitoring capabilities under complex atmospheric disturbance conditions.

[0028] The present invention effectively improves the reliability, robustness and meteorological perception capability of the navigation and positioning system in complex atmospheric environments, and is particularly suitable for special environmental conditions such as severe convective weather, typhoon landing, and severe ionospheric disturbances. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a flow chart of a ground-based space ionosphere and troposphere integrated joint detection method;

[0030] Figure 2 is the receiver differential code deviation estimation result;

[0031] Figure 3 is the estimated result of the vertical total electron content in the ionosphere;

[0032] Figure 4 is the ionospheric disturbance index ROTI estimation result;

[0033] Figure 5 is the ionospheric phase scintillation index estimation result;

[0034] Figure 6 is the estimated result of the tropospheric zenith total delay ZTD;

[0035] Figure 7 is the estimated result of tropospheric precipitable water (PWV);

[0036] Figure 8 is the estimation result of the ionospheric amplitude scintillation index. DETAILED DESCRIPTION

[0037] In order to make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0038] like Figure 1 As shown, the ground-based space ionosphere and troposphere integrated joint detection method of the present invention specifically includes the following steps:

[0039] Step S1, detecting the ionospheric vertical total electron content VTEC, including: extracting the ionospheric tilt total electron content STEC and converting it to the ionospheric vertical total electron content VTEC;

[0040] The carrier phase smoothed pseudorange method is used to extract the inclined total electron content (STEC):

[0041] (1)

[0042] Where, For satellite With receiver At the moment The ionospheric tilt total electron content STEC, For the moment Smoothed pseudorange without geometric combination observations, is the ionospheric delay conversion factor, is the first frequency, is the second frequency, For receiver At the first frequency With the second frequency The receiver-side differential code deviation is For satellite At the first frequency With the second frequency The satellite differential code deviation.

[0043] Since the receiver differential code bias is coupled with the ionospheric delay and the satellite differential code bias, it cannot be directly obtained. Therefore, the initial value of the receiver differential code bias will be calibrated under controllable conditions and the optimal processing strategy for online differential code bias calibration will be determined; at the same time, online real-time calibration of the receiver differential code bias will be carried out. The receiver differential code bias will be extracted using the synchronous estimation method. , correct satellite differential code bias Then, combined with the ionospheric delay conversion factor, Get .

[0044] estimate When using nighttime observation data, the impact of ionospheric delay is reduced. During this period, the ionospheric activity is calm, the delay is small, and there is no obvious gradient change. The cutoff satellite elevation angle is set to 20°, and the average value of the 14-day results is used as the receiver differential code bias. .

[0045] Using the projection function, STEC can be converted to vertical total electron content VTEC:

[0046] (2)

[0047] in, For satellite With receiver At the moment The ionospheric vertical total electron content VTEC; is the projection function value.

[0048] like Figure 2 As shown in the figure, the differential code bias time series of each GNSS system obtained based on this method are given. The results show that the stability of the differential code bias estimation based on this method is better than 0.5ns.

[0049] Step S2, detecting the ground-based Beidou ionospheric disturbance index ROTI, including: extracting the ionospheric disturbance index ROTI of each satellite using the tilted total electron content STEC, and obtaining the ground-based Beidou ionospheric disturbance index ROTI using the altitude angle weighting method;

[0050] The ROTI is a GNSS ionospheric disturbance monitoring indicator. It extracts information about ionospheric gradient changes from high-frequency GNSS observations. It can be used to reflect the presence of large-scale irregular structures in the ionosphere and characterize the strength of ionospheric disturbance events. To calculate the ROTI, the ROTI is first calculated based on the slope total electron content (STEC) and a time window. The weight of each satellite is then calculated using the satellite elevation angle to calculate the ground-based Beidou ROTI.

[0051] Perform time difference processing on the tilt total electron content (STEC) of each satellite and calculate the change rate of the tilt total electron content (STEC) , its unit is TECU / min, and the calculation formula is:

[0052] (3)

[0053] Where, For the satellite at two times The ionospheric STEC difference, For the time difference.

[0054] And calculate the standard deviation in a fixed time window (such as 5 minutes) to get the corresponding Value, that is:

[0055] (4)

[0056] Where, To find the mean function.

[0057] For each visible satellite, the altitude angle between it and the receiver is , calculate the weight coefficient , the weighting function is as follows:

[0058] (5)

[0059] Therefore, the ionospheric disturbance index ROTI weighted by the satellite altitude angle is:

[0060] (6)

[0061] in, is the number of satellites.

[0062] Figure 3 The ROTI index series obtained based on this method is given.

[0063] Step S3: Detecting the ionospheric phase scintillation index , including: using ground-based Beidou carrier phase observation information, removing ionospheric trend information based on Butterworth filter, and calculating ionospheric phase scintillation index ;

[0064] In phase detection, the carrier phase standard deviation is used to determine the phase flicker , as shown below:

[0065] (7)

[0066] Where, is the phase statistic after Butterworth filter processing. The carrier phase observation sequence of each GNSS frequency point is filtered through a 6th order 3dB cutoff frequency of 0.1Hz ( ) is used to remove the low-frequency effects at the cutoff frequency, thereby obtaining high-frequency phase statistics and calculating the phase flicker information.

[0067] Figure 4 The ionospheric phase scintillation index obtained based on this method is given sequence.

[0068] Step S4, detecting the total zenith delay (ZTD) of the troposphere, including: adjusting and estimating the cycle slip detection threshold in the precise point positioning (PPP) algorithm in combination with the ionospheric disturbance index (ROTI), and combining the phase scintillation index (PFI) to estimate the cycle slip detection threshold in the PPP algorithm. The carrier phase observations are weighted and then the tropospheric zenith total delay (ZTD) is extracted using the estimated precise point positioning (PPP) algorithm.

[0069] In the process of extracting the total zenith delay (ZTD) of the troposphere, in order to improve the estimation accuracy and robustness, the present invention introduces ionospheric detection data to constrain and optimize the precise point positioning (PPP) algorithm. Specifically, by extracting the ionospheric disturbance index (ROTI) corresponding to each satellite path, the strong disturbance period and path are identified, thereby dynamically adjusting the cycle slip detection threshold in the PPP algorithm. At the same time, considering the impact of ionospheric scintillation on the stability of carrier observation, the ionospheric phase scintillation index (ROTI) is used to calculate the phase scintillation index (PSI) of the ionospheric ... Observational data from different epochs and satellites are weighted. During the PPP algorithm solution, the weight of carrier phase observations corresponding to high scintillation indices is reduced to improve interference rejection and ensure the stability of parameter estimation results. Based on the above optimization strategy, combined with the precise orbit, clock, and other auxiliary information provided by the PPP-B2b service broadcast by the BeiDou-3 GEO satellite, the PPP algorithm is used to solve the tropospheric zenith total delay (ZTD) parameters at the station. This process not only improves the accuracy of ZTD solutions in ionospheric disturbance environments but also provides a reliable foundation for the subsequent derivation of precipitable water volume (PWV).

[0070] In the PPP algorithm, when using carrier phase observations for estimation, the observation weight of each satellite is determined by the phase scintillation information detected in step S3, as follows:

[0071] (8)

[0072] Where, For satellite The carrier phase observation weights of .

[0073] When performing cycle slip detection based on the geometry-free combination GF cycle slip detection method, the geometry-free combination difference between adjacent epochs is compared with a fixed threshold to determine whether a cycle slip has occurred. Considering that during periods of ionospheric activity, the fixed threshold cycle slip detection method may be affected by ionospheric disturbances and scintillation, which may cause false detections, mistaking carrier phase fluctuations caused by ionospheric fluctuations for cycle slips. This can cause the PPP algorithm to reconverge, resulting in a decrease in the accuracy of ZTD parameter estimation. Therefore, in this method, the ionospheric disturbance parameter ROTI from step S2 is used to adaptively adjust the cycle slip detection threshold. The cycle slip detection model is as follows:

[0074] (9)

[0075] Where, is the GF cycle slip detection threshold without geometric combination.

[0076] In addition, considering the anisotropic characteristics of the zenith tropospheric delay, the horizontal gradient parameter is introduced into the precise point positioning PPP algorithm to estimate the tropospheric parameters. The tropospheric slant delay of each satellite can be modeled as:

[0077] (10)

[0078] Where, is the oblique tropospheric delay of the observation station r to the satellite s; and are the zenith tropospheric dry delay component and wet delay component, respectively; and are the projection functions of dry and wet components respectively; and are the satellite altitude and azimuth, respectively; and are the horizontal gradient parameters respectively.

[0079] Figure 5 The tropospheric zenith total delay (ZTD) series obtained based on this method is given.

[0080] Step S5, detecting the tropospheric precipitable water volume (PWV), including: using temperature, humidity, and pressure observation information obtained by meteorological sensors to calculate the tropospheric dry delay (ZHD) and a conversion factor, using the tropospheric zenith total delay (ZTD) to obtain the tropospheric wet delay (ZWD), and extracting the tropospheric precipitable water volume (PWV) in combination with the conversion factor;

[0081] After estimating the total zenith delay (ZTD) of the troposphere using the PPP algorithm based on the GNSS precise correction product, the precipitable water volume (PWV) parameters are extracted in combination with meteorological observation data to meet the following requirements:

[0082] (11)

[0083] in, is the density of liquid water, is the water vapor gas constant, 、 is the atmospheric refraction factor, is the weighted mean temperature of the atmosphere; ZHD can be calculated using the Saastanmoinen model.

[0084] The calculation formula is as follows:

[0085] (12)

[0086] in, is the surface temperature at the measuring station, obtained from meteorological observation data.

[0087] Step S6: Detecting ionospheric amplitude scintillation , including: using the signal-to-noise ratio (SNR) observation information to resolve the original ionospheric amplitude scintillation The information is used to correct the PWV detection information of precipitable water to obtain the ionospheric amplitude scintillation parameters. ;

[0088] When ionospheric scintillation occurs, the amplitude of the signal will produce rapid random changes. At this time, the ionospheric amplitude scintillation index is often used. To describe the extent to which the signal amplitude is affected by ionospheric scintillation, the amplitude scintillation index It is usually defined as the ratio of the standard deviation of the signal strength to the average value of the signal strength within a period of time, that is, the standard deviation of the average value of the signal strength after normalization. The calculation is as follows:

[0089] (13)

[0090] In the above formula represents the raw amplitude flicker index, Indicates signal intensity, as follows:

[0091] (14)

[0092] in, Carrier-to-noise ratio; is the noise density; is the carrier power of the signal.

[0093] The ionospheric amplitude scintillation parameters are obtained by using the receiver's precipitable water volume (PWV) detection information to make corrections. ; The details are as follows:

[0094] (15)

[0095] in, is the set PWV threshold; is the scaling factor.

[0096] Step S7: Output the ground-based BeiDou space ionosphere-troposphere integrated joint detection parameters. The parameters include: ionospheric vertical total electron content VTEC, ionospheric disturbance index ROTI, ionospheric phase scintillation index , ionospheric amplitude scintillation index , tropospheric zenith total delay ZTD, tropospheric precipitable water PWV.

[0097] A ground-based space ionosphere and troposphere integrated joint detection device, comprising:

[0098] The ionospheric vertical total electron content (VTEC) detection module detects the ionospheric vertical total electron content (VTEC), including: extracting the ionospheric tilt total electron content (STEC) at the ionospheric puncture point and converting it to the ionospheric vertical total electron content (VTEC);

[0099] The ground-based BeiDou ionospheric disturbance index ROTI detection module detects the ground-based BeiDou ionospheric disturbance index ROTI, including: using the slant total electron content (STEC) to extract the ionospheric disturbance index ROTI of each satellite, and using the altitude angle weighted method to obtain the ground-based BeiDou ionospheric disturbance index ROTI;

[0100] Ionospheric phase scintillation index Detection module, detecting ionospheric phase scintillation index , including: using ground-based BeiDou carrier phase observation information to calculate the ionospheric phase scintillation index ;

[0101] The tropospheric zenith total delay (ZTD) detection module detects the tropospheric zenith total delay (ZTD), including: combining the ionospheric disturbance index (ROTI) and the ionospheric phase scintillation index (IOS) , optimize the precise point positioning PPP algorithm and extract the tropospheric zenith total delay ZTD;

[0102] Tropospheric precipitable water volume (PWV) detection module detects tropospheric precipitable water volume (PWV), including: calculating the tropospheric dry delay (ZHD) and conversion factor, obtaining the tropospheric wet delay (ZWD) using the tropospheric zenith total delay (ZTD), and extracting the tropospheric precipitable water volume (PWV) in combination with the conversion factor;

[0103] Ionospheric Amplitude Scintillation Index Detection module, detecting ionospheric amplitude scintillation index , including: solving the original ionospheric amplitude scintillation information , and use the precipitable water volume PWV to analyze the original ionospheric amplitude scintillation information Correction is performed to obtain the ionospheric amplitude scintillation index ;

[0104] Detection parameter output module, outputs ground-based Beidou space ionosphere-troposphere integrated joint detection parameters, including: ionospheric vertical total electron content VTEC, ionospheric disturbance index ROTI, ionospheric phase scintillation index , ionospheric amplitude scintillation index , tropospheric zenith total delay ZTD, tropospheric precipitable water PWV.

[0105] An electronic device comprises: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the described method.

[0106] A computer-readable storage medium stores executable instructions, which, when executed by a processor, enable the processor to implement the method described above.

[0107] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A ground-based space ionosphere and troposphere integrated joint detection method, characterized in that: The steps include: Step S1, obtaining the ionospheric tilt total electron content and converting it to the ionospheric vertical total electron content; Step S2: Calculate the ionospheric disturbance index of each satellite using the tilted total electron content to further obtain the ionospheric disturbance index; Step S3, detecting the ionospheric phase scintillation index; Step S4: extracting the tropospheric zenith total delay using the ionospheric disturbance index and the ionospheric phase scintillation index; Step S5: Calculate the tropospheric dry delay and conversion factor, use the tropospheric zenith total delay to obtain the tropospheric wet delay, and extract the tropospheric precipitable water in combination with the conversion factor; Step S6: Calculate the original ionospheric amplitude scintillation information and correct it using the precipitable water volume (PWV) to obtain the ionospheric amplitude scintillation index. Step S7: Output ground-based Beidou space ionosphere-troposphere integrated joint detection parameters, including: ionospheric vertical total electron content, ionospheric disturbance index, ionospheric phase scintillation index, ionospheric amplitude scintillation index, tropospheric zenith total delay, and tropospheric precipitable water.

2. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 1, the satellite differential code bias is corrected based on the differential code bias, and the ionospheric tilt total electron content STEC is obtained by combining the smoothed pseudorange geometry-free combined observation value and the ionospheric delay conversion factor. The ionospheric vertical total electron content VTEC is calculated using the projection function.

3. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 2, the ionospheric tilt total electron content (STEC) of each satellite is time-differentiated to calculate its rate of change, and the standard deviation is calculated by sliding within a fixed time window. The weight coefficient is then calculated based on the satellite altitude angle, and the ground-based Beidou ionospheric disturbance index (ROTI) is obtained by weighted calculation using the weight coefficient.

4. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 3, the carrier phase observation sequence of each frequency point of the global navigation satellite system GNSS is passed through a Butterworth high-pass filter to obtain high-frequency phase statistics, and then the spherical phase scintillation index is calculated. .

5. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 4, the ionospheric phase scintillation index The observation weights of each satellite are determined, the ionospheric disturbance index (ROTI) is used to dynamically adjust the cycle slip detection threshold in the single point positioning algorithm, and the horizontal gradient parameter is introduced to estimate the tropospheric zenith delay (ZTD).

6. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 5, the tropospheric precipitable water (PWV) is extracted using the tropospheric zenith total delay (ZTD) as well as the liquid water density, water vapor gas constant, atmospheric refractive index, and atmospheric weighted mean temperature.

7. The ground-based space ionosphere and troposphere integrated joint detection method according to claim 1, characterized in that: In step 6, the original ionospheric amplitude scintillation information is calculated by the ratio of the standard deviation of the signal strength to the average value of the signal strength. Then, the raw ionospheric amplitude scintillation information is calculated using the precipitable water volume PWV. Correction is performed to obtain the ionospheric amplitude scintillation index .

8. A ground-based space ionosphere and troposphere integrated joint detection device, characterized in that: include: The ionospheric vertical total electron content detection module obtains the ionospheric inclined total electron content and converts it into the ionospheric vertical total electron content; The disturbance index detection module uses the tilted total electron content to extract the ionospheric disturbance index of each satellite and obtain the ionospheric disturbance index; Phase scintillation index detection module, used to calculate the ionospheric phase scintillation index; The tropospheric zenith total delay detection module extracts the tropospheric zenith total delay by combining the ionospheric disturbance index and the ionospheric phase scintillation index; Tropospheric precipitable water detection module calculates the tropospheric dry delay and conversion factor, obtains the tropospheric wet delay using the tropospheric zenith total delay, and extracts the tropospheric precipitable water in combination with the conversion factor; The ionospheric amplitude scintillation index detection module calculates the original ionospheric amplitude scintillation information and corrects it using the precipitable water amount to obtain the ionospheric amplitude scintillation index; The detection parameter output module outputs the ground-based Beidou space ionosphere-troposphere integrated joint detection parameters, including: ionospheric vertical total electron content, ionospheric disturbance index, ionospheric phase scintillation index, ionospheric amplitude scintillation index, tropospheric zenith total delay, and tropospheric precipitable water.

9. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that Executable instructions are stored thereon, and when the instructions are executed by a processor, the processor implements the method according to any one of claims 1 to 7.

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