CN106932791B - Data quality index testing method for difference - Google Patents
Data quality index testing method for difference Download PDFInfo
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- CN106932791B CN106932791B CN201710088301.8A CN201710088301A CN106932791B CN 106932791 B CN106932791 B CN 106932791B CN 201710088301 A CN201710088301 A CN 201710088301A CN 106932791 B CN106932791 B CN 106932791B
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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 invention provides a data quality index testing method for difference, which comprises the following steps: 1: respectively erecting a receiver and an antenna for data acquisition in an open environment and a severe environment, and continuously acquiring data for a period of time; 2: after data acquisition is finished, original satellite data acquired by a receiver erected in an open environment and a severe environment are exported from the receiver; 3: importing the exported original satellite data into a data quality checking program, and converting the format of the original satellite data; 4: after the quality of the converted satellite data piece is checked, outputting a data quality checking result; 5: and analyzing the output data quality checking result and deriving a differential data quality index. The invention leads the index testing method of the data quality for difference to have more perfect guiding method and steps by the innovation of the data quality index testing method, and fills the blank of the industry for the index testing method of the data quality for difference.
Description
Technical Field
The invention relates to the field of satellite differential positioning index testing, in particular to a data quality index testing method for difference.
Background
GNSS (satellite navigation) differential positioning technology is widely used in various fields: high-precision mapping, system integration, deformation monitoring, precision agriculture, traffic, oceans and the like. In the present phase, the GNSS differential positioning technology is mainly used in a receiver capable of decoding signals transmitted by satellites in real time, and when the GNSS differential positioning technology is used for high-precision positioning, the data quality of satellite data received by the receiver plays an important role in positioning precision. At present, satellite data quality checking software widely used in the industry is TEQC developed and developed by UNAVCO Facility, which can carry out quality checking on GPS/GLONASS but cannot check Beidou satellite broadcast data, and a complete method for checking differential data quality indexes is not available.
In summary, in the prior art, there is no good method for satellite data quality index checking for differential positioning technology for data quality for differential positioning.
Disclosure of Invention
The invention provides a complete set of relatively perfect method for analyzing data quality in a differential positioning technology, and aims to solve the problem that the existing industry does not have a method for analyzing the data quality in the differential positioning technology.
The invention provides a data quality index testing method for difference, which comprises the following steps:
the method comprises the following steps: respectively erecting a receiver and an antenna for data acquisition in an open environment and a severe environment, and continuously acquiring data for a period of time;
step two: after data acquisition is finished, original satellite data acquired by a receiver erected in an open environment and a severe environment are exported from the receiver;
step three: importing the exported original satellite data into a data quality checking program, and converting the format of the original satellite data;
step four: after the quality of the converted satellite data piece is checked, outputting a data quality checking result;
step five: and analyzing the output data quality checking result and deriving a differential data quality index.
The output data quality checking result comprises data utilization rate data, MP value data and cycle slip ratio data.
In the above method for testing data quality index for difference, the open environment is a measurement environment in which there is no shielding at the vertex and no obstacle for ten meters around, and the harsh environment is a measurement environment in which there is shielding at the vertex and/or there is an obstacle for ten meters around.
In the above method for testing data quality index for difference, in the second step, the original satellite data format stored by the receiver is the HCN format.
In the above method for testing data quality index for difference, in the step one, after the receiver and the antenna are erected, data acquisition is continued for more than two hours.
In the above method for testing data quality index for difference, the data quality check program is used to detect satellite data of GPS/GLONASS/BDS signals.
The invention leads the index testing method of the data quality for difference to have more perfect guiding method and steps by the innovation of the data quality index testing method, and fills the blank of the industry for the index testing method of the data quality for difference.
Drawings
The invention and its features, aspects and advantages will become more apparent from the following detailed description of non-limiting embodiments, which is to be read in connection with the accompanying drawings. Like reference symbols in the various drawings indicate like elements. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention.
Fig. 1 is a flowchart of a data quality index testing method for difference according to the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in order to avoid obscuring the invention.
In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The following detailed description of the preferred embodiments of the invention, however, the invention is capable of other embodiments in addition to those detailed.
The invention provides a data quality index testing method for difference, which comprises the following steps as shown in figure 1:
the method comprises the following steps: a receiver and an antenna for data acquisition are erected in an open environment and a severe environment respectively, and data acquisition is continuously carried out for a period of time. In an alternative embodiment of the present invention, the data acquisition continues for more than two hours after the receiver and antenna are set up. Furthermore, the open environment is a measuring environment without occlusion at the top of the head and no obstacles ten meters around the open environment, and the harsh environment is a measuring environment with occlusion at the top of the head and/or obstacles ten meters around the open environment.
Step two: and after the data acquisition is finished, the original satellite data acquired by the receiver erected in the open environment and the severe environment is exported from the receiver. In an alternative embodiment of the present invention, the original satellite data format stored by the receiver is the HCN format.
Step three: and importing the exported original satellite data into a data quality checking program, and converting the format of the original satellite data.
Specifically, in one embodiment, the invention adopts software capable of performing quality check on GPS/GLONASS/BDS multi-constellation data, CHCDATA is selected as the quality check software for the GPS/GLONASS/BDS multi-constellation data, compared with TEQC developed and developed by UNAVCO Facility, the software has the advantages that the quality check function on data broadcast by Beidou satellites is added, the data quality check can be performed by customizing a data format HCN and a world satellite navigation industry standard data format Rinex, the HCN data is converted into the Rinex format data, important indexes in the data quality check are displayed in front of a user completely, and the data quality check is performed by using the world satellite navigation industry standard data format Rinex.
Step four: and after the quality of the converted satellite data piece is checked, outputting a data quality checking result. The output data quality checking result comprises data utilization rate data, MP value data and cycle slip ratio data.
Step five: and analyzing the output data quality checking result and deriving a differential data quality index.
The above steps are further described below with respect to the present invention by way of an example:
the method comprises the following steps: a receiver and an antenna which are used for receiving satellite GPS/GLONASS/BDS full constellation satellite signals and used for data acquisition are erected on the roof (open environment) and under the tree (severe environment), and the data acquisition time is not less than 2 hours;
step two: after 2-hour data is collected, the satellite original data stored by the receiver is derived from the receiver, and the storage format of the receiver is an HCN format;
step three: importing the exported satellite original data with the HCN format into CHCHData of data quality checking software, selecting a right key of a storage file in the software to select a 'RINEX option', and selecting a converted RINEX version, wherein the invention selects a universal RINEX3.02 version, converts the original data, and re-imports the converted RINEX data into the software;
step four: selecting a right key of a storage file in the selected software to select 'all files to be checked' to carry out quality check on the RINEX software, displaying a quality check progress bar, and after the progress bar is finished, displaying a data quality check result by the software.
Table 1
Table 2
Tables 1 and 2 are the data quality checking results of the data quality checking software CHCData, wherein the results of the quality checking are directly and clearly displayed, and various indexes important to the data quality are displayed, including: the data utilization rate, the MP value and the cycle slip ratio can obviously show the difference of the data quality under each environmental condition.
In summary, the invention, through the innovation of the data quality index testing method, provides a more perfect guiding method and steps for the data quality index testing method for difference, and fills the blank of the industry for the data quality index testing method for difference.
The above description is that of the preferred embodiment of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, in that devices and structures not described in detail are understood to be implemented in a manner common in the art; those skilled in the art can make many possible variations and modifications to the disclosed solution, or modify the equivalent embodiments with equivalent variations, without departing from the scope of the solution, without thereby affecting the spirit of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A data quality index testing method for difference is characterized by comprising the following steps:
the method comprises the following steps: respectively erecting a receiver and an antenna for data acquisition in an open environment and a severe environment, and continuously acquiring data for a period of time;
step two: after data acquisition is finished, original satellite data acquired by a receiver erected in an open environment and a severe environment are exported from the receiver;
step three: importing the exported original satellite data into a data quality checking program, and converting the format of the original satellite data;
step four: after the quality of the converted satellite data piece is checked, outputting a data quality checking result;
step five: analyzing the output data quality checking result, and deriving a differential data quality index;
the output data quality checking result comprises data utilization rate data, MP value data and cycle slip ratio data.
2. The method according to claim 1, wherein the open environment is a measurement environment with no shielding at the vertex and no obstacle for ten meters around, and the harsh environment is a measurement environment with shielding at the vertex and/or an obstacle for ten meters around.
3. The data quality index testing method for difference according to claim 1, wherein in the second step, the original satellite data format stored by the receiver is HCN format.
4. The method for testing data quality index for difference according to claim 1, wherein in the step one, data collection is continued for two hours or more after the receiver and the antenna are installed.
5. The data quality index testing method for difference as set forth in claim 1, wherein the data quality checking program is used for detecting satellite data of GPS/GLONASS/BDS signals.
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| CN111929710B (en) * | 2020-06-30 | 2022-10-28 | 中国科学院国家授时中心 | Delivery test method for Beidou satellite navigation signal quality assessment |
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