CN115963520B - Optimization method based on combination of 6G air base station and Beidou satellite positioning - Google Patents
Optimization method based on combination of 6G air base station and Beidou satellite positioning Download PDFInfo
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- G—PHYSICS
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- 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
- G01S19/07—Cooperating elements; Interaction or communication between different cooperating elements or between cooperating elements and receivers providing data for correcting measured positioning data, e.g. DGPS [differential GPS] or ionosphere corrections
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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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- G—PHYSICS
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- 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
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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Abstract
The invention discloses an optimization method based on 6G air base station and Beidou satellite positioning, which comprises the steps of creating an air base station, and constructing a time delay prediction model to perform time delay prediction analysis for each application scene of a current NTN node; dividing an aerial base station into a Beidou side and an aerial base station side for satellite positioning coordinate data acquisition; and receiving satellite positioning coordinate data, and generating a satellite mark containing satellite level, application scene and expected time delay information by combining with the constructed satellite level scene positioning model analysis to obtain the accurate coordinate of the satellite of the air base station, the satellite level and the application scene data of the satellite. The invention takes the aerial base station and the like as relay points, and provides assistance for accurate positioning of the aerial base station satellite by using the Beidou RDSS positioning technology.
Description
Technical Field
The invention belongs to the technical field of satellite positioning, and particularly relates to an optimization method based on combination of a 6G air base station and Beidou satellite positioning.
Background
In the aspects of high-speed ubiquitous and world integrated, a satellite mobile communication system of ' Tiantong one number ' is developed along with Chinese telecommunication, a three-dimensional network of ' Tiantong one number ', xingshi integration, tongductan integration, star-earth coordination and wide-narrow complementation ' is firstly proposed and constructed, and the world Internet leading technological achievement is evaluated. The Chinese telecom comprehensively implements the strategy of 'broadband Chinese', firstly develops gigabit network construction, builds the broadband Internet ChinaNet and CN2-DCI exquisite bearing network with the largest global, and reaches 70 countries worldwide; constructing a ROADM all-optical network with the maximum global regulation, a gigabit optical network with the maximum domestic regulation and an OTN exquisite private network of a government enterprise; deepening 5G network co-construction sharing and building the 5G SA commercial network with the largest global first rule. 2022 the new generation of Beidou provides more accurate and reliable service for global users, and realizes star-star networking and interconnection through inter-star links. The 5G SA commercial network with the maximum global first standard of the 'Tiantong one number' of the telecommunication in China in the same year also provides assistance for the accurate positioning of the satellite of the aerial base station of the telecommunication in China.
In a 6G network communication environment, conventional geosynchronous orbit Geostationary Earth Orbit, GEO) satellites, while well broadcasting common and popular content (e.g., media content, secure messages, networking automotive software updates) to local servers, are not capable of satisfying the requirements of time-delay sensitive applications. In contrast, low Earth Orbit (LEO) satellites can achieve a better balance between wide coverage and propagation delay/path loss. But with the development of LEO satellite antenna technology, the equipment of the user will be directly connected to the 6G non-terrestrial network in the near future.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an optimization method based on the combination of a 6G air base station and Beidou satellite positioning.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
an optimization method based on 6G air base station combined with Beidou satellite positioning comprises the following steps:
firstly, creating an air base station, and constructing a delay prediction model to perform delay prediction analysis for each application scene of a current NTN node;
step two, dividing the aerial base station into a Beidou side and an aerial base station side for satellite positioning coordinate data acquisition;
and thirdly, receiving satellite positioning coordinate data, and generating a satellite mark containing satellite level, application scene and expected time delay information by combining with analysis of the constructed satellite level scene positioning model to obtain accurate coordinates of the satellite of the air base station, the satellite level and the application scene data of the satellite.
In order to optimize the technical scheme, the specific measures adopted further comprise:
firstly, constructing a non-ground network node into a 6G air base station by integrating satellites with different orbits, and installing a Beidou signal receiver for each satellite;
secondly, receiving Beidou RDSS short message data through a Beidou signal receiver to position satellites in different orbits of the aerial base station, and transmitting positioning coordinate data to a 6G aerial base station core satellite;
then, aiming at different time delays of different satellite-level services, a random forest algorithm is adopted to construct a time delay expected value which is matched with the application scene of each level satellite to replace the 6G expected time delay of the NTN node.
The first step is to input the historical time delay data stored in the current NTN node when the application scene operates normally into the time delay prediction model operation, so as to obtain the time delay occurrence probability of each NTN node service in the next time period when the service operates normally.
The above-mentioned air base station includes UAV, HAPS, VLEO non-ground communication infrastructure, and the non-ground infrastructure and ground user terminals are connected by means of radio signals, and their radio communication related log data are stored in the air infrastructure.
The Beidou side is used for carrying out Beidou positioning on the area which is not covered by the ground of the aerial base station;
the aerial base station side acquires satellite coordinates based on the Beidou side by constructing a precise positioning program and simulating Beidou navigation positioning principle and technology, and simultaneously utilizes ground data of the aerial base station to transmit back to the IAB base station and transmission, and analyzes the ground satellite coordinate data transmitted back to the aerial base station to acquire coordinate positioning based on the aerial base station.
And the errors of the Beidou measurement and the aerial base station side are more than 10%, the errors are still more than 10% after the Beidou secondary calculation, the Beidou navigation positioning coordinates and the coordinates positioned by the accurate positioning program returned by the ground IAB base station group of the aerial base station are weighted and averaged, the final coordinates of the current satellite are comprehensively judged, and finally, the final coordinates and related parameters are transmitted to the aerial base station core satellite.
The accurate positioning program performs satellite coordinate positioning by combining the data of the aerial base station with the Beidou navigation analysis data; the method comprises the steps of analyzing and transmitting mass data of an aerial base station ground base station group, transmitting signals to a 5G radio access network RAN by satellite signals by using a ground base station closest to a satellite and the satellite, and performing signal butt joint with the ground network base station by the RAN by using an NR (gNB) base station and an LTE (eNB) base station simultaneously to acquire coordinates, satellite numbers and aerial distance related information for analysis.
In the third step, the area covered by the IAB ground base station group of the air base station is not covered, the core satellite of the air base station receives the satellite positioning coordinate data of the beidou side, and the core satellite of the air base station receives the satellite positioning coordinate data of the air base station side.
In the third step, the satellite application scenes of all satellites of the air base station are obtained by combining with the constructed satellite-level scene positioning model analysis, the satellite levels and the application scenes are obtained according to the satellite positioning coordinate data, and the satellite marks are generated, so that the accurate coordinates of the satellites of the air base station, the satellite levels and the application scene data of the satellites are obtained.
The satellite mark content comprises: beidou receiver ID, satellite hierarchy, satellite IP, coordinates, application scenario and expected delay.
The invention has the following beneficial effects:
the aerial base station is used as a relay point, and the Beidou RDSS positioning technology is utilized to provide assistance for the 5G SA commercial network with the maximum global first standard of Chinese telecommunication 'Tiantong one number' and also provide assistance for the accurate positioning of the aerial base station satellite of the Chinese telecommunication.
Drawings
FIG. 1 is a schematic diagram of the method of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, an optimization method based on combining a 6G air base station with Beidou satellite positioning comprises the following steps:
firstly, creating an air base station, and constructing a delay prediction model to perform delay prediction analysis for each application scene of a current NTN node;
specific: and creating an air base station and predicting and analyzing time delay for each application scene of the current NTN (non-ground) node through an artificial intelligent model. And generates a table.
First, by integrating different orbit satellites, a non-ground network node is built into a 6G air base station, and a beidou signal receiver is installed for each satellite.
And secondly, receiving Beidou RDSS short message data through a Beidou signal receiver to accurately position satellites of different orbits of the aerial base station, and transmitting positioning coordinate data to a 6G aerial base station core satellite (for example, chinese telecom 'Tiantong number one'). The air base station has deviation on satellite application scenes, expected time delay and other data because the satellite positioning is not accurate enough, and the scene of the satellite can be positioned more accurately through Beidou positioning, so that the follow-up various services aiming at the current scene are facilitated.
Then, aiming at different time delays of different satellite-level services, a random forest algorithm is adopted to construct a time delay expected value which is matched with the application scene of each level satellite to replace the 6G expected time delay of an NTN (non-ground communication) node. Therefore, the expected time delay of the application scene of the NTN node is converted into the AI analysis time delay which is more in line with the operation of the application scene, and the value of the expected application scene is exerted to the maximum extent.
The specific description is as follows:
and constructing a time delay prediction model, and putting the historical time delay data stored by the current NTN node when the application scene normally operates into the time delay prediction model to calculate and obtain the time delay occurrence probability of each NTN node service in the lower time period (millisecond, second and minute) when the service normally operates.
The formula [ delay prediction model ] is:
parameter description:
1. a constant n is set as the expected application scenario of how many airborne nodes there are.
2. Where |Di|/|D| refers to the expected application scenario delay probability of how many air nodes, the total number we bring when calculating H (i) is the number of application scenarios. Deriving hi=the scene occurrence delay exceeding the scene initial threshold probability for each feature.
For example: the historical log data with unreasonable communication network planning of users brought into the city/remote area has |D| bars, and the abnormal data conforming to the scene has |Di|.
The air base station is specifically described as: in the 6G aerial scene, the non-ground communication infrastructure mainly consists of UAV, HAPS, VLEO and other common facilities. The non-ground infrastructure is connected with the ground user terminal through a wireless signal, and the log data related to wireless communication is stored on the air infrastructure.
Description of specific nouns:
UAV (unmanned aerial vehicle): unmanned aircraft
HAPS: the high altitude platform (HAPS: high Altitude Platform Station) communication system places a wireless base station on an aircraft that stays aloft for a long time to provide telecommunication services, is considered as a broadband wireless access means with good potential application value after 2010. If the height is 20km, a communication area with a ground coverage radius of about 500km can be realized
VLEO: constellation of
Distributed MIMO: multiple-input multiple-output (mulTIple input mulTIple output, MIMO) wireless transmission technology opens a new era of mobile communication system space resource development and utilization.
And finally, carrying out weighted average on the normal operation time delay probabilities predicted by all satellites of the NTN node, thereby completing AI analysis time delay of each application scene of the current NTN node, and replacing the expected time delay to be used as the expected time delay of each application scene of the current NTN node.
Ground and air base station integrated communication technology principle
Firstly, according to scene characteristics, a ground area which is not covered by ground signals is selected, and a satellite with the strongest signal covered by an air base station and a corresponding satellite node with the best expected time delay are selected as temporary IAB nodes. Non-terrestrial access is provided to users in remote areas without satellite connection.
Secondly, through deep RAN fusion, RAN level fusion is carried out on different subsystems. And adopts a single wireless technical scheme (the same air interface is used between the ground and non-ground networks).
Finally, the satellite signals to a 5G Radio Access Network (RAN), which can use both NR (gNB) and LTE (eNB) base stations. Thus, the signal butt joint with the ground network base station is completed, and the ground network assists the flow of the non-ground network.
The TRP of the ground and non-ground are then coordinated by the regional centralized control units, which are interconnected by a high capacity interface. The wireless resources of the ground and the non-ground network are managed in a united way through a unified control plane, and unified air interface physical layer parameters are adjusted according to instantaneous channel conditions, so that the reliability and service quality of are improved while the resources are fully utilized.
And step two, the aerial base station divides satellite positioning into a Beidou side and an aerial base station side for respectively acquiring satellite positioning coordinate data in order to realize 100% coverage.
Beidou side: areas of ground coverage for an air base station are for example: ocean, remote mountain area and the like are subjected to Beidou positioning coordinates.
An air base station side: the method comprises the steps of constructing a precise positioning program, simulating Beidou navigation and positioning principle and technology to obtain satellite coordinate based on Beidou measurement, and simultaneously analyzing data such as ground satellite coordinate transmitted back by an air base station by utilizing powerful ground data transmission IAB of the air base station and transmission to obtain coordinate positioning based on the air base station. And the Beidou measurement and air base station side error is more than 10%, the error is still more than 10% after the Beidou secondary calculation is performed, and the final coordinates of the current satellite are comprehensively determined after the Beidou navigation positioning coordinates and the coordinates positioned by the accurate positioning program returned by the ground IAB base station group of the air base station are weighted and averaged. And finally, transmitting the final coordinates and related parameters to an air base station core satellite.
The advantage of accurate location procedure:
1. and the aerial base station performs satellite coordinate positioning by combining own data of the aerial base station with Beidou navigation analysis data. And the Beidou positioning advantage is exerted on the area where the ground transmission is not achieved, and the accurate positioning is performed for the aerial base station satellite. Because the ground base station cannot transmit, delay and errors are also caused by the fact that the air base station needs to transmit the data through a far base station to cover the area.
2. By utilizing mass data analysis and transmission of a strong ground base station group of an air base station, a satellite signal is sent to a 5G Radio Access Network (RAN) by utilizing a ground base station closest to a satellite and the satellite, and the RAN can simultaneously use NR (gNB) and LTE (eNB) base stations. Thus, the signal docking with the ground network base station is completed, and the related information such as coordinates, satellite numbers, air distances and the like is acquired for analysis. Positioning errors possibly caused by atmospheric layer delay, troposphere delay and ionosphere delay in the process of acquiring satellite coordinates of an aerial base station by the Beidou signal can be effectively avoided.
Beidou side:
firstly, after receiving an air base station request to acquire accurate positioning information, a Beidou air navigation satellite system transmits the accurate positioning information to a ground MCC in an RDSS short message mode, and the MCC informs a Beidou sub-processing service platform for storing Beidou log data of the air base station to analyze and acquire accurate satellite coordinate data.
Secondly, the accurate coordinates and other parameter related analysis results are returned to the aerial Beidou satellite in a RDSS short message mode through Beidou application equipment including (Beidou RDSS equipment, beidou RDSS+RNSS equipment and Beidou RNSS equipment). The aerial Beidou satellite system is sent to the aerial base station core satellite. For example: china telecom-Tiantong No. one satellite.
And then, the core satellite of the air base station transmits the accurate coordinate analysis result to satellites of all layers of the air base station through the Beidou air navigation satellite. And carrying out current coordinate calibration and scene confirmation by the satellites of all levels through the accurate coordinate information of the RDSS short message received by the Beidou receiver. Therefore, the air base station is combined with Beidou navigation to provide accurate coordinate positioning for each satellite level, and the application scene of each satellite of the air base station is confirmed through the accurate coordinates, and commercial satellite service which better accords with the current application scene is provided.
An air base station side:
meanwhile, the Beidou sub-management service platform managed by the Beidou navigation ground MCC synchronously transmits the stored Beidou log data of the air base station to the ground data backhaul IAB of the air base station through the Beidou API interface. And after receiving the log data, the IAB base station starts a precise positioning program to precisely position the Beidou log data from the aspect 3.
And finally, returning analysis results such as accurate coordinates and early warning probability values of all satellites to an aerial base station core satellite through an IAB base station group, transmitting ground analysis coordinate information to all satellites through an aerial wireless signal network after the core satellite receives the accurate coordinates, checking the ground analysis coordinate information with the received Beidou RDSS short message coordinate information after the satellite receives the coordinate information, and if the coordinate positioning error is within 10 percent, otherwise, transmitting a request to a north hopper again to acquire accurate positioning information, and calculating secondary verification coordinate accuracy through Beidou side data analysis of the second step, so that the possibility of positioning false alarm caused by abnormal airflow can be avoided as much as possible. And if the error is still beyond 10%, taking the weighted average of the Beidou navigation positioning coordinates and the coordinates positioned by the accurate positioning program returned by the ground IAB base station group of the air base station, and comprehensively judging the final coordinates of the current satellite.
The accurate positioning program mainly simulates the Beidou prior art principle and creatively combines the powerful ground multi-base-station operation and transmission capacity of the air base station, and provides another technical scheme for satellite coordinate accurate positioning. The accurate positioning procedure performs analytical level processing for the main error 3 sources affecting the positioning accuracy.
1. Satellite-related errors: mainly comprises satellite ephemeris error and satellite clock error.
2. Error related to signal propagation: the navigation signal sent by the satellite needs to pass through the atmosphere when being transmitted to the receiver, and the influence of the atmosphere on the transmission is mainly represented by atmospheric delay, mainly comprising ionosphere delay and multipath effect caused by reflection of the navigation signal by buildings, water surfaces and the like in front of the receiver antenna before the troposphere signal enters the receiver antenna.
3. Errors associated with the receiver and station: mainly including errors such as receiver clock error, receiver antenna phase center offset, receiver noise, etc.
The precise positioning program executes different command concrete descriptions for different situations:
satellite signal propagation related errors
The ephemeris and clock error of the satellite are the result obtained by estimating orbit parameters and clock error parameters according to the observation data of the monitoring station by the main control station of the ground operation control system and then forecasting by using the estimated value. Thus, the ephemeris and clock bias of the satellite contain both errors in the inaccurate indexing of the parameter estimates and errors in the inaccurate indexing of the predictive model. These errors are included in the navigation message, and the user directly uses the navigation message for positioning without correction, which inevitably leads to deviation of positioning results. Thus, satellite-related errors include mainly satellite ephemeris errors and clock error.
1-1, correction ephemeris error procedure
The difference between the satellite orbit and the actual orbit, which is obtained by calculating the satellite ephemeris, is called an ephemeris error, namely an error caused by extrapolating the satellite orbit by the broadcast ephemeris in the navigation message.
Firstly, program execution obtains Beidou navigation short message information track parameters and clock error parameters. And meanwhile, acquiring the nearest base station of the air base station ground IAB base station group from the target satellite, and carrying out RAN level fusion on different subsystems through deep RAN fusion. And adopts a single wireless technical scheme (the same air interface is used between the ground and non-ground networks).
Second, satellite signaling signals are over a 5G Radio Access Network (RAN), which can use both NR (gNB) and LTE (eNB) base stations. The wireless resources of the ground and the non-ground network are managed in a united way through a unified control plane, and unified air interface physical layer parameters are adjusted according to instantaneous channel conditions, so that the reliability and service quality of are improved while the resources are fully utilized.
And then, comparing the difference value between the navigation message orbit parameter and the satellite orbit parameter acquired by the ground of the aerial base station, namely optimizing ephemeris error. And comparing the difference between the optimized ephemeris error and the ephemeris error, and generating a patrol coordinate mark if the difference is more than 10% and the optimized ephemeris error is the same. The ephemeris error is used as the reference.
1-2, clock error
The program is executed according to the Beidou satellite deviation formula: Δt=a 0 +a 1 (t-t oc )+a 2 (t-t oc ) 2
Wherein a is 0 For satellite clock at reference epoch t oc Is a clock difference of (2); a, a 1 Clock speed of the satellite clock; a, a 2 Zhong Piao (i.e., rate of change of clock speed) for a satellite clock. These parameters are determined by the master control station and sent to the user via the navigation messages of the satellites.
After the satellite clock difference is corrected by a polynomial model, an error still exists inevitably, the clock difference obtained by calculating clock difference parameters is different from the actual clock difference, the satellite clock difference precision corrected by broadcasting ephemeris is S-10 ns, and in the relative positioning, the error can be eliminated by measuring the observed quantity difference between stations.
2. Error related to signal propagation
Characteristics of ionospheric delay errors
The atmospheric region 60-1000 km from the ground is ionized under the combined action of solar ultraviolet radiation and x-ray photochemical dissociation and solar wind and impact dissociation of high-energy particles in the Galaxy cosmic rays to form a region which is electrically neutral as a whole but contains a large number of free electrons and positive and negative ions, which is called an ionosphere.
2-1 ionospheric delay and method of correction thereof
Including big dipper No. two and big dipper No. three different correction methods, this patent is mainly based on big dipper No. three dual-frenquency receiver correction methods:
for dual-frequency users using BIC and B2a signals, a dual-frequency ionosphere-free combined pseudorange algorithm is used to correct for the effects of electrical delays, as calculated below.
Literature comes from (Beidou satellite positioning and principle 118 page)
1. For dual-frequency users using BIC pilot component and B2a pilot component
2. For dual-frequency users using BIC pilot component and B2a data component
3. For dual-frequency users using BIC data component and B2a pilot component
4. For dual-frequency users using BIC data component and B2a data component
PR B1Cp PR B2ap Combining pseudo-ranges for the dual-frequency ionosphere-free combination of the BIC pilot component and the B2a data component; for a specific description, please refer to "Beidou satellite positioning and principle" page 119.
2-2, tropospheric delay and correction method therefor
The troposphere is an atmosphere extending from the ground to about 50km above. When a satellite navigation signal traverses through it, the propagation speed and path of the signal are changed, which phenomenon is called tropospheric delay. The influence of troposphere delay on navigation information is 1.9-2.5 m in zenith direction; as the altitude is continuously reduced, the tropospheric delay will increase to 20-80m.
Tropospheric zenith delay model:
wherein D is tro Representing the total retardation of the troposphere in any direction;the dry and wet delays in the zenith delay direction of the troposphere are respectively shown. MF (E) represents the overall mapping function, MF dry (E)、MF wet (E) Representing the dry and wet mapping functions, respectively. E denotes the height angle of the signal path. Please refer to page 119 of the Beidou satellite positioning and principle.
3. Error associated with receiver and station
3-1, antenna phase center error
In Beidou navigation positioning, both the pseudo-range observation value and the carrier phase observation value are based on the position of the phase center of the receiver antenna, and the phase center of the antenna and the geometric center of the antenna are kept consistent in theory. However, in practice, the phase center position of the antenna varies with the intensity and direction of the signal input, i.e., the instantaneous position of the phase center (commonly referred to as the apparent phase center) will be different from the theoretical phase center position. The influence of the deviation of the antenna phase center on the relative positioning result can reach several millimeters to several centimeters according to the performance of the antenna. Thus, for precise relative positioning, the error caused by the antenna phase center is also not negligible.
Projecting the phase center offset onto the receiver-to-satellite direction vector in a geostationary coordinate system to obtain a receiver antenna phase center offset induced distance error ofWherein Rs is the position vector of the satellite in the ground fixed coordinate system.
4. Other errors
4-1, relativity theory effect
For satellite navigation systems, the non-circular orbit value is a fixed value and can therefore be solved by reducing the frequency in the satellite. In this way the influence of relativistic effects can be eliminated.
Please refer to pages 125 of the Beidou satellite positioning and principle.
And thirdly, receiving the Beidou side satellite positioning coordinate data by the core satellite of the air base station in the area which is not covered by the IAB ground base station group of the air base station. And otherwise, receiving satellite positioning coordinate data at the aerial base station side.
Then, analyzing the satellite application scenes of all satellites of the air base station according to the constructed [ satellite-level scene positioning model ], obtaining satellite levels and application scenes according to satellite positioning coordinate data, generating satellite marks, and accurately obtaining important data of commercial satellite services such as accurate coordinates of the satellites of the air base station, satellite levels, application scenes of the satellites and the like.
Satellite tag format: the Beidou receiver ID# # satellite level# # satellite IP# # accurate coordinate# # application scene# # AI expects a delay.
The satellite-level scene positioning model formula is: minf (x) = (f) 1 (x)，…，f p (x)) T ，
The variable feasible domain is S, and the corresponding target feasible domain z=f (S).
Given a feasible point x * E S, haveWith f (x) * ) < f (x), then x * Known as the absolute optimal solution of the multi-objective planning problem. If x epsilon S does not exist, f (x) < f (x) * ) X is then * The effective solution to the target planning problem is called Pareto optimal solution.
Examples: s=valid data
f = classification
Z=f (S): all the categories according with the application scene of the air base station
f (x) =current-level satellite data and approximation data
x = approximation data
The main characteristics and expectations of the non-ground nodes are shown in table 1 for commercial service of the application scenario after accurate positioning.
TABLE 1
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the invention without departing from the principles thereof are intended to be within the scope of the invention as set forth in the following claims.
Claims (9)
1. An optimization method based on combination of a 6G air base station and Beidou satellite positioning is characterized by comprising the following steps:
firstly, creating an air base station, and constructing a delay prediction model to perform delay prediction analysis for each application scene of a current NTN node;
step two, dividing the aerial base station into a Beidou side and an aerial base station side for satellite positioning coordinate data acquisition;
and thirdly, receiving satellite positioning coordinate data, and generating a satellite mark containing satellite level, application scene and expected time delay information by combining with analysis of the constructed satellite level scene positioning model to obtain accurate coordinates of the satellite of the air base station, the satellite level and the application scene data of the satellite.
2. The optimization method based on the combination of the 6G air base station and the Beidou satellite positioning according to claim 1, wherein in the first step, firstly, non-ground network nodes are assembled into the 6G air base station by integrating different orbit satellites, and a Beidou signal receiver is installed for each satellite;
secondly, receiving Beidou RDSS short message data through a Beidou signal receiver to position satellites in different orbits of the aerial base station, and transmitting positioning coordinate data to a 6G aerial base station core satellite;
then, aiming at different time delays of different satellite-level services, a random forest algorithm is adopted to construct a time delay expected value which is matched with the application scene of each level satellite to replace the 6G expected time delay of the NTN node.
3. The optimization method based on the combination of the 6G air base station and the Beidou satellite positioning according to claim 1 is characterized in that in the step one, historical time delay data stored by a current NTN node when an application scene operates normally is input into a time delay prediction model operation, time delay occurrence probability of each NTN node service in a lower time period when the service operates normally can be obtained, and normal operation time delay probabilities predicted by all satellites of the NTN node are weighted and averaged, so that AI analysis time delay of each application scene of the current NTN node is completed, and the AI analysis time delay replaces expected time delay and serves as expected time delay of each application scene of the current NTN node.
4. The optimization method based on the combination of the 6G air base station and the beidou satellite positioning according to claim 1, wherein a non-ground communication infrastructure in the air base station comprises UAV, HAPS, VLEO, the non-ground infrastructure and the ground user terminal are connected through wireless signals, and log data related to wireless communication is stored in the air infrastructure.
5. The optimization method based on the combination of the 6G air base station and the Beidou satellite positioning according to claim 1 is characterized in that the Beidou side is used for carrying out Beidou positioning on an area which is not covered by the ground of the air base station;
the aerial base station side acquires satellite coordinates based on the Beidou side by constructing a precise positioning program and simulating a Beidou navigation positioning principle and technology, and simultaneously utilizes ground data of the aerial base station to transmit back to the IAB base station and transmission, and analyzes the ground satellite coordinate data transmitted back to the aerial base station to acquire coordinate positioning based on the aerial base station;
and the errors of the Beidou side and the aerial base station side are more than 10%, the errors are still more than 10% after the Beidou secondary calculation, the Beidou navigation positioning coordinates and the coordinates positioned by the accurate positioning program returned by the ground IAB base station group of the aerial base station are taken to be weighted and averaged, the final coordinates of the current satellite are comprehensively judged, and finally, the final coordinates and related parameters are transmitted to the aerial base station core satellite.
6. The optimization method based on the combination of the 6G air base station and the Beidou satellite positioning according to claim 5 is characterized in that the accurate positioning program performs satellite coordinate positioning by combining data of the air base station with Beidou navigation analysis data; the method comprises the steps of analyzing and transmitting mass data of an aerial base station ground base station group, transmitting signals to a 5G radio access network RAN by satellite signals by using a ground base station closest to a satellite and the satellite, and performing signal butt joint with the ground network base station by the RAN by using an NR (gNB) base station and an LTE (eNB) base station simultaneously to acquire satellite coordinates, satellite numbers and aerial distance related information for analysis.
7. The optimization method based on the combination of the 6G aerial base station and the beidou satellite positioning according to claim 1, wherein in the third step, an area which is not covered by an IAB ground base station group of the aerial base station is covered by the aerial base station core satellite, the aerial base station core satellite receives the beidou side satellite positioning coordinate data, the area covered by the IAB ground base station group of the aerial base station is covered by the aerial base station core satellite, and the aerial base station core satellite receives the aerial base station side satellite positioning coordinate data.
8. The optimization method based on the combination of the 6G aerial base station and the Beidou satellite positioning according to claim 1 is characterized in that in the third step, satellite application scenes of all satellites of the aerial base station are obtained by combining with the constructed satellite level scene positioning model analysis, satellite levels and application scenes are obtained according to satellite positioning coordinate data, satellite marks are generated, and therefore accurate coordinates of satellites of the aerial base station, satellite levels and application scene data of the satellites are obtained.
9. The optimization method based on the combination of the 6G air base station and the beidou satellite positioning according to claim 8, wherein the satellite mark content comprises: beidou receiver ID, satellite hierarchy, satellite IP, coordinates, application scenario and expected delay.
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