CN115097491A - SBAS monitoring station deployment method and testing device - Google Patents
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 91
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- 238000013441 quality evaluation Methods 0.000 claims abstract description 29
- 238000004364 calculation method Methods 0.000 claims description 17
- 238000011156 evaluation Methods 0.000 claims description 12
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/03—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/03—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers
- G01S19/10—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers providing dedicated supplementary positioning signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/22—Multipath-related issues
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/13—Receivers
- G01S19/23—Testing, monitoring, correcting or calibrating of receiver elements
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Abstract
The application relates to the technical field of satellite navigation enhancement, in particular to a method for deploying an SBAS monitoring station and a testing device, wherein the method comprises the following steps: selecting a station address of an SBAS monitoring station and deploying core equipment; acquiring GNSS real-time observation data; calculating observation data quality evaluation parameters; calculating a multipath correlation coefficient; and evaluating the quality evaluation parameter and the multipath correlation coefficient. The method and the system have the advantages that the deployment position of the SBAS monitoring station site and the structure of the core GNSS satellite data acquisition channel equipment are determined, the survey process of the SBAS monitoring station site selection is simplified, the efficiency of the SBAS monitoring station core equipment structure design is improved, and more manpower and material resources are saved.
Description
Technical Field
The application relates to the technical field of satellite navigation enhancement, in particular to a method and a device for deploying an SBAS monitoring station.
Background
The service performance of the GNSS basic navigation system cannot meet the APV to CAT-I flight guidance requirements in volume I of the ICAO accessory 10, especially in terms of navigation service integrity and alarm time. Therefore, the construction of Satellite Based Augmentation Systems (SBAS) has been completed in several countries and regions represented by europe in order to improve the service performance of the basic navigation System. The ground monitoring station is an important component of the satellite-based augmentation system, and the composition, the layout, the data quality and the like of the ground monitoring station have important influence on the service performance of the satellite-based augmentation system.
Currently, the service coverage of SBAS is still blank in northern hemisphere china, and it is urgently needed to build a beidou star-based augmentation system to provide high integrity services for users represented by civil aviation in china and surrounding areas. Therefore, it is necessary to analyze the deployment method of the SBAS monitoring station, and provide reference for the construction of the monitoring station of the future satellite-based augmentation system.
The present application is directed to solving at least one of the above background or other related technical problems.
Disclosure of Invention
The method and the device for deploying the SBAS monitoring station are used for determining the deployment position of the SBAS monitoring station site and the structure of core GNSS satellite data acquisition channel equipment, simplifying the survey flow for selecting the SBAS monitoring station site, improving the efficiency of the structure design of the core equipment of the SBAS monitoring station, and saving more manpower and material resources.
A method for deploying an SBAS monitoring station comprises the following steps:
selecting a station address of an SBAS monitoring station and deploying core equipment;
acquiring GNSS real-time observation data;
calculating observation data quality evaluation parameters;
calculating a multipath correlation coefficient;
and evaluating the quality evaluation parameters and the multipath correlation coefficients.
In some embodiments, SBAS monitoring station sites are selected within or near airports.
In some embodiments, the SBAS monitoring station site selection specifically includes:
when the airport building condition is met, building an SBAS monitoring station in the airport;
and when the airport building condition is not met, the SBAS monitoring station is built in the area near the airport.
In some embodiments, the airport-near area is an area 5km from an airport radius.
In some embodiments, the core device deployed by the SBAS monitoring station comprises 3 sets of independent GNSS satellite data acquisition channels.
In some embodiments, the core devices of each set of independent GNSS satellite data acquisition channels deployed comprise 1 GNSS monitoring receiver, 1 atomic clock and 1 computer.
In some embodiments, the GNSS monitoring receiver contains an antenna.
In some embodiments, the atomic clock is a rubidium clock or a cesium clock.
In some embodiments, the geometry of the GNSS monitoring receiver antennas of the deployed 3 SBAS monitoring stations is in the form of an acute triangle or a right triangle.
In some embodiments, the distance between each two GNSS monitoring receiver antennas is 9 m.
In some embodiments, the acquiring GNSS real-time observation data comprises:
continuously acquiring observation data of GNSS satellites for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station, and storing the observation data as a RINEX format file;
the observation data of the GNSS satellite comprises pseudo range, carrier phase, Doppler and signal-to-noise ratio of the GNSS satellite.
In some embodiments, the observation data quality assessment parameter calculation comprises:
calculating quality evaluation parameters of observation data of GNSS satellites continuously acquired for 7 days by 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station;
the observation data quality evaluation parameters of the GNSS satellite comprise real income-receivable observation ratio, o/slps, MP1 and MP 2.
In some embodiments, the multipath correlation coefficient calculation comprises:
and continuously acquiring observation data of the GNSS satellite for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by the SBAS ground monitoring station, and calculating correlation coefficients of multipath MP1 and MP2 of all satellites in each 2-path GNSS satellite observation data.
In some embodiments, the calculating the correlation coefficients of the multi-paths MP1 and MP2 includes:
setting the multipath MP1 (or MP2) of all 1 satellite in the observation data of the 2 GNSS satellites as variable A = [ A1, A2, …, An = [ A1 ], A2 and A] T The multipath MP1 (or MP2) of all the satellites in the 2 nd satellite is set as the variable B = [ B1, B2, …, Bn = [ B1, B2, B2 ]] T The correlation coefficient calculation uses the following formula:
wherein,rrepresenting the correlation coefficient;
representing variablesAAverage value of (a);
representing variablesBAverage value of (a).
In some embodiments, the quality assessment parameter is assessed in relation to a multipath correlation coefficient, comprising:
the evaluation criterion of the observation data quality evaluation parameters comprises the following steps: the real income-receivable observation ratio is more than or equal to 95 percent, o/slps is more than or equal to 1500, MP1 is less than or equal to 0.5, and MP2 is less than or equal to 0.65; and/or
The satellite multipath MP1 or MP2 correlation coefficient evaluation criterion is the correlation coefficient-r |＜0.1。
In some embodiments, when the SBAS monitoring station site selection, core device deployment, quality evaluation parameter or multipath correlation coefficient evaluation has a condition that does not meet the requirement, the steps in the method are re-executed.
The SBAS monitoring station deployment method comprises the steps of SBAS monitoring station site selection and core equipment deployment, GNSS real-time observation data acquisition, observation data quality evaluation parameter calculation, multi-path correlation coefficient calculation, quality evaluation parameter and multi-path correlation coefficient evaluation, and a feasible implementation method is provided for construction of the SBAS monitoring station in the future.
A testing device deployed by an SBAS monitoring station, the device comprising at least:
the GNSS satellite observation data collector comprises 3 sets of GNSS observation data collection equipment which are mutually independent, each set of equipment consists of 1 GNSS monitoring receiver with an antenna and 1 switch, and the deployment method of 3 antennas follows the GNSS monitoring receiver antenna deployment method limited in the method;
a data processor, specifically a computer for executing the instructions for acquiring GNSS real-time observation data, observation data quality assessment parameter calculation, multipath correlation coefficient calculation, quality assessment parameter and multipath correlation coefficient assessment in the method described above;
the data storage is a computer used for storing the processing result executed by the data processor.
The above-described preferred conditions may be combined with each other to obtain a specific embodiment, in accordance with common knowledge in the art.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
1) different from the traditional reference station construction requirements, the method directly defines the position of the SBAS monitoring station site, namely the site is established in an airport or in an area near the airport, and simultaneously defines the structure of the core GNSS satellite data acquisition channel equipment of the SBAS monitoring station, thereby simplifying the survey flow of the selection of the SBAS monitoring station site and improving the efficiency of the structural design of the core equipment of the SBAS monitoring station.
2) The method provided by the invention provides an evaluation method for whether the primary selection of the SBAS monitoring station site is reasonable, and the types of parameters participating in evaluation and the corresponding parameter threshold value limit are determined, so that the design process of the method for evaluating the rationality of the primary selection of the SBAS monitoring station site is saved, the efficiency of judging the rationality of the selection of the SBAS monitoring station site is improved, and more manpower and material resources are saved.
The invention adopts the technical scheme for achieving the purpose, makes up the defects of the prior art, and has reasonable design and convenient operation.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of a SBAS monitoring station deployment method provided in embodiment 1 of the present application;
fig. 2 is a flowchart of an implementation of a SBAS monitoring station deployment method provided in embodiment 2 of the present application;
fig. 3 is a schematic structural diagram of an SBAS monitoring station deployment test apparatus provided in embodiment 3 of the present application.
Detailed Description
In order to clearly explain the technical features of the present invention, the present application will be explained in detail by the following embodiments in combination with the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different results of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples, which have been repeated for purposes of simplicity and clarity and do not in themselves dictate a relationship between the various embodiments and/or arrangements discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted so as to not unnecessarily limit the invention.
The present application is specifically described below with specific examples.
Example 1:
a method for deploying SBAS monitoring stations, as shown in fig. 1, specifically includes:
step 101, selecting a station address of an SBAS monitoring station and deploying core equipment;
step 102, acquiring GNSS real-time observation data;
103, calculating observation data quality evaluation parameters;
104, calculating a multipath correlation coefficient;
and step 105, evaluating the quality evaluation parameters and the multipath correlation coefficients.
The step 101, the SBAS monitoring station site selection and the core device deployment specifically include:
the site of the SBAS ground monitoring station is selected in an airport or a nearby area, and when the site meets airport construction conditions, the SBAS ground monitoring station is built in the airport; when the airport building condition is not met, an SBAS monitoring station is built in an area near an airport, and the distance of the area near the airport is 5km as reference;
the core equipment deployed by the SBAS monitoring station comprises 3 sets of independent GNSS satellite data acquisition channels, and the core equipment deployed by each set of independent GNSS satellite data acquisition channel comprises 1 GNSS monitoring receiver (containing an antenna), 1 atomic clock (rubidium clock or cesium clock) and 1 computer; the geometrical configuration of the deployed GNSS monitoring receiver antennas of the 3 SBAS monitoring stations adopts an acute triangle or a right triangle, and the distance between every two GNSS monitoring receiver antennas is 9m as reference.
The step 102 of obtaining GNSS real-time observation data specifically includes:
continuously acquiring observation data of GNSS satellites for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station, and storing the observation data into a RINEX format file;
the observation data of the GNSS satellite comprises pseudo range, carrier phase, Doppler and signal-to-noise ratio of the GNSS satellite.
The step S103 of calculating the observation data quality evaluation parameter specifically includes:
calculating quality evaluation parameters of observation data of GNSS satellites continuously acquired for 7 days by 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station;
the GNSS satellite observation data quality evaluation parameters comprise real income-receivable observation ratio, o/slps, MP1 and MP 2.
The step 104 of calculating the multipath correlation coefficient specifically includes:
the method comprises the steps of continuously acquiring observation data of GNSS satellites for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station, and calculating correlation coefficients of all satellite multipath MP1 and MP2 in each 2-path GNSS satellite observation data.
In the calculation of the correlation coefficients of the multi-path MP1 and the multi-path MP2, the multi-path MP1 (or MP2) of all the 1 st satellite in the observation data of the 2 paths of GNSS satellites is set as a variable A = [ A1, A2, …, An = [ A1 ]] T The multipath MP1 (or MP2) of all the satellites in the 2 nd satellite is set as the variable B = [ B1, B2, …, Bn = [ B1, B2, B2 ]] T The correlation coefficient calculation uses the following formula:
wherein,rrepresenting a correlation coefficient;
representing variablesAAverage value of (d);
representing variablesBAverage value of (a).
The step 105 of evaluating the quality evaluation parameter and the multipath correlation coefficient specifically includes:
the evaluation criterion of the observation data quality evaluation parameters comprises the following steps: the real income-receivable observation ratio is more than or equal to 95 percent, o/slps is more than or equal to 1500, MP1 is less than or equal to 0.5, and MP2 is less than or equal to 0.65;
the satellite multipath MP1 or MP2 correlation coefficient evaluation criterion is the correlation coefficient-r |＜0.1；
And when the conditions that the SBAS monitoring station address selection, the core equipment deployment, the quality evaluation parameter and the multipath correlation coefficient evaluation do not meet the requirements occur, the steps 101-105 are executed again.
Example 2:
on the basis of the foregoing embodiment, an exemplary SBAS monitoring station deployment method implementation is provided, and fig. 2 shows a flowchart thereof, which specifically includes the following steps.
Step 201, SBAS monitoring station site selection and core equipment deployment. And (3) initially selecting a site of the SBAS monitoring station, and configuring core equipment of the SBAS monitoring station, wherein the core equipment comprises 3 sets of independent GNSS satellite data acquisition channels.
Step 203, calculating GNSS observation data quality evaluation parameters, wherein the quality evaluation parameters comprise real-income-receivable-observation ratio ", o/slps, MP1 and MP 2.
And step 204, judging whether the quality evaluation parameters meet the threshold limit. The threshold limits of the quality evaluation parameters are respectively that the real income-receivable observation ratio is more than or equal to 95 percent, the o/slps is more than or equal to 1500 percent, the MP1 is less than or equal to 0.5, and the MP2 is less than or equal to 0.65. If any quality assessment parameter does not meet the threshold limit, the step 201 is returned to, and the system is re-executed and deployed.
And step 205, calculating the multipath correlation coefficient. And calculating correlation coefficients of all satellite multipath MP1 and MP2 in each path of GNSS satellite observation data in observation data of GNSS satellites continuously acquired for 7 days by 3 sets of independent GNSS satellite data acquisition channels.
Step 206, whether the multipath correlation coefficient meets the threshold limit. Threshold limit of multi-path MP1 and MP2 correlation coefficient to-r |＜0.1。
The above description of the implementation flow of the SBAS monitoring station deployment method is similar to the above description of the SBAS monitoring station deployment method embodiment, and has similar beneficial effects to the method embodiment. For technical details not disclosed in the implementation flow description of the SBAS monitoring station deployment method, please refer to the description of the embodiment of the method of the present invention for understanding.
Example 3:
on the basis of the foregoing embodiments, an SBAS monitoring station deployment test apparatus is exemplarily provided, as shown in fig. 3, including:
the GNSS satellite observation data collector S301 specifically comprises 3 sets of mutually independent GNSS observation data collection equipment and 1 switch, each set of equipment consists of 1 GNSS monitoring receiver and 1 corresponding antenna, and the deployment method of the 3 antennas meets the deployment method of the GNSS monitoring receiver antenna in the previous embodiment;
a data processor 302, a computer for executing instructions for obtaining GNSS real-time observation data, observation data quality assessment parameter calculation, multi-path correlation coefficient calculation, and quality assessment parameter and multi-path correlation coefficient assessment in the above embodiments;
a data storage 303, a computer for storing the results of the processing performed by the data processor.
The above description of the device embodiment is similar to the above description of the SBAS monitoring station deployment method embodiment, and has similar beneficial effects to the method embodiment. For technical details that are not disclosed in the embodiments of the testing apparatus of the present invention, please refer to the description of the embodiments of the SBAS monitoring station deployment method of the present invention.
It should be appreciated that the features, structures, or characteristics of the embodiments of the present application may be combined in any suitable manner, provided that it is consistent with the common general knowledge in the art. In the embodiments and the implementation manners of the present invention, the sequence numbers of the steps in the processes are not meant to limit the execution sequence, and the execution sequence of each process shall be subject to the functions and the internal logic, and is not limited to the implementation manners of the embodiments of the present invention.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element identified by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are only illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
It is to be understood that while aspects of the present invention have been described in conjunction with the accompanying drawings and the detailed description, the foregoing description is not intended to limit the scope of the invention. Modifications and variations of the above-described embodiments may be made by those skilled in the art, and the result will still fall within the scope of the present application. And thus are neither necessary nor exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.
Furthermore, the detailed description of the present application is not repeated herein, as it is well known in the art.
Claims (10)
1. A method for deploying an SBAS monitoring station is characterized by comprising the following steps:
selecting a station address of an SBAS monitoring station and deploying core equipment;
acquiring GNSS real-time observation data;
calculating observation data quality evaluation parameters;
calculating a multipath correlation coefficient;
and evaluating the quality evaluation parameters and the multipath correlation coefficients.
2. The method of claim 1, wherein:
the SBAS monitoring station site is selected in an airport or an area near the airport; and/or
The core equipment deployed by the SBAS monitoring station comprises 3 sets of independent GNSS satellite data acquisition channels.
3. The method of claim 2, wherein: the core equipment of each set of deployed independent GNSS satellite data acquisition channel comprises 1 GNSS monitoring receiver with an antenna, 1 atomic clock and 1 computer.
4. The method of claim 3, wherein: the geometry of the GNSS monitoring receiver antenna of the 3 deployed SBAS monitoring stations adopts an acute triangle or a right triangle.
5. The method of claim 1, wherein: the method for acquiring GNSS real-time observation data comprises the following steps:
continuously acquiring observation data of GNSS satellites for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station, and storing the observation data into a RINEX format file;
the observation data of the GNSS satellite comprises pseudo range, carrier phase, Doppler and signal-to-noise ratio of the GNSS satellite.
6. The method of claim 1, wherein: the observation data quality evaluation parameter calculation comprises the following steps:
calculating quality evaluation parameters of observation data of GNSS satellites continuously acquired for 7 days by 3 sets of independent GNSS satellite data acquisition channels deployed by an SBAS ground monitoring station;
the observation data quality evaluation parameters of the GNSS satellite comprise real income-receivable observation ratio, o/slps, MP1 and MP 2.
7. The method of claim 1, wherein: the multipath correlation coefficient calculation comprises the following steps:
and continuously acquiring observation data of the GNSS satellite for 7 days by using 3 sets of independent GNSS satellite data acquisition channels deployed by the SBAS ground monitoring station, and calculating correlation coefficients of multipath MP1 and MP2 of all satellites in each 2-path GNSS satellite observation data.
8. The method of claim 7, wherein: the calculation of the correlation coefficients of the multipath MP1 and the multipath MP2 comprises the following steps:
setting the multipath MP1 or MP2 of all the satellites in the 1 st path in the observation data of the 2 paths of GNSS satellites as a variable A = [ A1, A2, …, An = [ A1 ], A2 and A] T The multipath MP1 or MP2 of all the satellites in the 2 nd path is set as the variable B = [ B1, B2, …, Bn] T The correlation coefficient calculation uses the following formula:
wherein,rrepresenting a correlation coefficient;
representing variablesAAverage value of (d);
representing variablesBAverage value of (a).
9. The method of claim 8, wherein: the quality evaluation parameter and multipath correlation coefficient evaluation comprises the following steps:
the observation data quality evaluation parameter evaluation criterion comprises the following steps: the real income-receivable income observation ratio is more than or equal to 95 percent, o/slps is more than or equal to 1500 percent, MP1 is less than or equal to 0.5 percent, and MP2 is less than or equal to 0.65 percent; and/or
The satellite multipath MP1 or MP2 correlation coefficient evaluation criterion is the correlation coefficient-r |＜0.1。
10. A testing arrangement that SBAS monitoring station was deployed, its characterized in that includes:
a GNSS satellite observation data collector, which comprises 3 sets of GNSS observation data collecting equipment which are mutually independent, wherein each set of equipment consists of 1 GNSS monitoring receiver with an antenna and 1 switch, and the deployment method of 3 antennas follows the GNSS monitoring receiver antenna deployment method defined in any one of the methods of claims 1-9;
a data processor, in particular a computer, for executing instructions for acquiring GNSS real-time observation data, observation data quality assessment parameter calculation, multipath correlation coefficient calculation, quality assessment parameter and multipath correlation coefficient assessment according to any of the methods of claims 1 to 9;
the data storage is a computer used for storing the processing result executed by the data processor.
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| CN115808703A (en) * | 2022-12-14 | 2023-03-17 | 北京六分科技有限公司 | Multipath influence degree detection method, device, storage medium, and program product |
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