CN109979246B - Satellite-ground integration-based rapid specific aircraft target identification method - Google Patents
Satellite-ground integration-based rapid specific aircraft target identification method Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0004—Transmission of traffic-related information to or from an aircraft
- G08G5/0013—Transmission of traffic-related information to or from an aircraft with a ground station
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0043—Traffic management of multiple aircrafts from the ground
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0073—Surveillance aids
- G08G5/0082—Surveillance aids for monitoring traffic from a ground station
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/18502—Airborne stations
- H04B7/18506—Communications with or from aircraft, i.e. aeronautical mobile service
- H04B7/18508—Communications with or from aircraft, i.e. aeronautical mobile service with satellite system used as relay, i.e. aeronautical mobile satellite service
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Abstract
The invention relates to a satellite-ground integration-based rapid specific aircraft target identification method in the field of specific aircraft target identification by satellites, in particular to an aircraft target identification method which combines satellite target identification and ground target identification, and comprises the following steps: the ground system utilizes ADS-B information accumulated for a long time, and establishes a ranking of importance of the investigation conditions in a demand-oriented manner; b: inputting ADS-B information, and generating a black and white list according to a black and white list generation process; c: the updated black and white list of the airplane target is sent to a satellite through a remote control channel, the satellite discriminates ADS-B information received in real time, and the result is distributed to a user side in real time; d: and sending the uncertain ADS-B information received by the satellite to a ground system, and generating a flow by using a black list and a white list to supplement the black list and the white list. The invention solves the problem of selecting specific airplane targets by the satellite and improves the discovery rate and the accuracy of the satellite on various specific airplane targets.
Description
Technical Field
The invention relates to satellite-to-specific aircraft target identification, in particular to aircraft target selection and classification by using historical and real-time ADS-B information and satellite-ground integrated cooperation.
Background
Broadcast automatic dependent surveillance (ADS-B) is a cooperative surveillance-related system that broadcasts location information and other parameters of an aircraft using on-board ADS-B devices. ADS-B is the latest passive flight data acquisition technology at present. ADS-B is called automatically dependent Surveillance-Broadcast, i.e. Broadcast auto correlation monitoring. ADS-B includes a series of standard protocols and a series of device components. These devices include a set of onboard devices for acquiring and calculating flight data, such as GNSS (Global Navigation Satellite System), barometric pressure sensor, and the like. There are also 2 sets of communication devices, one set for broadcasting ADS-B data to the surroundings. Such broadcasting is not one-time but is periodically generated. And the other set is used for receiving surrounding ADS-B data.
By utilizing the broadcasting characteristic of ADS-B, the flight data of the airplane can be received by using ADS-B receiving equipment on the ground as long as the ADS-B receiving equipment is within the receivable range of the signal, so that the flight track information can be decoded. However, the decoded flight path information is huge, and if only the receiver and the transmitter are provided, the following 3 technical difficulties are caused by the communication between the aircraft crew and the ground station:
1. the flight data of the airplane cannot be analyzed and summarized, the important information of the airplane is visually displayed and presented to the pilot and the staff of the ground supervision station, so that the pilot and the staff can conveniently know the flight state of the airplane in real time, communication is carried out, corresponding indication is made for the airplane flight, and relevant responses are made for the airplane, and the flight process is safer.
2. The flight data volume of the airplane is large, the information is extremely important, and the information cannot be classified and stored, so that the working personnel of a ground supervision station can perform relevant processing and operation on the flight data of the current airplane and the flight data of the airplane in the later period according to the self-demand.
3. The individual illegal airplane adopts the means of closing equipment, modifying ADS-B basic information, modifying course and the like to achieve the aim of hiding own airplane and navigation information.
With the increasingly expanded flight range of future flight equipment, the types and the number of sensors are continuously increased, the requirement on the real-time performance of information fusion is higher and higher, heterogeneous multi-sensor information fusion is the trend of future information fusion development, the establishment of comprehensive flight paths is the premise and necessary preparation of information fusion, and the accuracy, reliability, stability and the like of the comprehensive flight path have crucial influence on the multi-sensor information fusion. Therefore, it is necessary to establish a black and white list library by effectively analyzing and gradually checking big data by using ADS-B information accumulated for a long time.
Through the search of the prior art, the invention name of Chinese patent CN201810616047.9 is a multitask comprehensive management system based on an integrated spaceborne computer, and the multitask comprehensive management system is characterized in that the multitask comprehensive management system is used as embedded software and runs in the integrated spaceborne computer; the multitask comprehensive management system utilizes hardware resources provided by the integrated satellite-borne computer to realize various application functions of attitude control, satellite-ground data transmission control, energy management, temperature control, load imaging condition calculation, on-orbit programming and telemetering acquisition in a multitask mode; and each application function is distributed to different task modules according to the characteristics of time constraint, data access and the like of the application function. However, the method can not solve the problems of the selection of the satellite for the specific airplane target and the improvement of the discovery rate and the accuracy of the satellite for various specific airplane targets.
Disclosure of Invention
Aiming at effectively identifying ADS-B information and improving the requirement of a satellite on the identification efficiency of a specific airplane target, the invention aims to provide a rapid specific airplane target identification method based on satellite-ground integration. The method can realize the on-orbit real-time and rapid specific airplane target identification of the satellite, and meanwhile, the method also has the function of self-closed loop, and the more sample data, the more the identification effect and the efficiency can be improved in a self-adaptive manner.
The invention relates to a method for quickly identifying a specific airplane target based on satellite-ground integration, which comprises the following steps:
step A: the ground system utilizes ADS-B information accumulated for a long time, and establishes a ranking of importance of the investigation conditions in a demand-oriented manner;
and B: inputting ADS-B information, and generating a blacklist and a white list according to a list generation flow;
and C: the updated black and white list of the airplane target is sent to a satellite through a remote control channel, the satellite discriminates ADS-B information received in real time, and the result is distributed to a user side in real time;
step D: and sending the uncertain ADS-B information received by the satellite to a ground system, generating a process by using a list, and supplementing a black list and a white list.
Preferably, in the step a, the importance ranking of the investigation conditions is established according to the ADS-B information, and the investigation conditions can be summarized into 6 types according to the airplane target information included in the ADS-B.
Preferably, the ADS-B information establishes the troubleshooting condition discrimination classification as important, generally important, wherein the important is that whether the airplane is the troubleshooting condition of the specific airplane can be directly judged, and the important is that whether the airplane is highly similar to the behavior of the specific airplane can be judged.
Preferably, the 6 types of examination conditions of the airplane target information included according to the ADS-B are whether DF is a specific airplane, AA is in a standard format, whether a flight file exists, whether a parking airport record exists, whether elevation information belongs to a cooperative airplane, and whether a position is in a channel.
Preferably, in the step B, historical ADS-B data is recorded into the ADS-B information troubleshooting system, and a black list and a white list are obtained through a troubleshooting strategy.
Preferably, the white list refers to the airplanes which have not been found to have similar specific behavior after being screened by all the screening conditions.
Preferably, the blacklist refers to that a plurality of checking conditions are met, and the target can be determined to be a specific airplane target.
Preferably, in the step C, the black list and the white list updated by the ground system are sent to an on-satellite identification system of the satellite through a remote control channel, the satellite receives the ADS-B signal of the key attention area, the ADS-B information is compared with the content in the black list and the white list, and if the ADS-B information belongs to the black list or the information to be checked, the data is sent to the user or the ground system in a real-time broadcasting manner.
Preferably, in the step D, uncertain ADS-B information received by the satellite is transmitted to a ground system, the operation of the step B is repeated, closed-loop feedback is performed on the information, an ADS-B blacklist and a white list are supplemented, and then the information is updated to the satellite, so that the target selection capability of the satellite is further improved.
Compared with the prior art, the invention has the following beneficial effects:
1. the on-orbit real-time and rapid specific airplane target identification of the satellite can be realized;
2. the method also has a self-closed loop function, and the more the sample data is, the more the identification effect and efficiency can be improved in a self-adaptive manner.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a flow diagram of satellite-ground integrated cooperative aircraft target identification;
FIG. 2 is a classification diagram of examination conditions trained based on massive ADS-B information;
FIG. 3 is a black and white list generation flow diagram;
FIG. 4 is a flow chart of satellite real-time aircraft target identification.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Examples
The method for quickly identifying the specific airplane target based on satellite-ground integration provided by the invention is further described in detail below by combining the attached drawings and the concrete implementation method.
The method comprises the following steps: a, a ground system establishes an importance ranking of investigation conditions by using ADS-B information accumulated for a long time and facing to requirements; step A, inputting ADS-B information, and generating a black and white list according to a black and white list generation flow; step C, sending the updated black and white list of the airplane target to a satellite through a remote control channel, and screening ADS-B information received in real time by the satellite in real time and distributing the result to a user side in real time; and D, sending the uncertain ADS-B information received by the satellite to a ground system, and generating a flow by using a black list and a white list to supplement the black list and the white list.
The workflow is set forth as follows:
as shown in fig. 1, the process is a main workflow of a method for quickly identifying a specific aircraft target based on satellite-ground integration. Firstly, obtaining a black and white list through ADS-B information big data result of ground processing; then the satellite uses a black and white list to identify a specific airplane target in real time, meanwhile, uncertain information monitored by the satellite can be fed back to the ground in a closed loop mode for processing, and a ground database sample is added; and finally, the ground supplements the information to a black and white list by using the existing checking process.
As shown in FIG. 2, the summary may be 3 types of troubleshooting conditions according to the airplane target information included in ADS-B. Sorting the division of the examination conditions: it is important, and generally important. The method is more important: the method can directly judge whether the airplane is the investigation condition of a specific airplane, such as 1, 3 and 6; generally important: troubleshooting conditions that can determine whether the aircraft is highly similar to a particular aircraft behavior, such as 2, 4, 5; and finally, the airplanes are classified into a white list and a black list through sequential troubleshooting, and the airplanes are debugged by other means.
As shown in fig. 3, after all 6 troubleshooting conditions are sequentially screened, the airplane target can be classified into a white list, a black list, 3 types of suspicious airplanes, 2 types of highly suspicious airplanes, and troubleshooting airplanes with other means. And further screening 5 classes of suspicious airplanes according to the screening conditions, and finally classifying the airplane target into 4 classes of highly suspicious airplanes, blacklists and airplanes to be screened by other means.
As shown in fig. 4, the satellite receives real-time ADS-B information, compares the content of ADS-B data with the black and white lists, if matching successfully with the white list, it is a non-threat airplane, if matching successfully with the black list, it is an airplane with high threat priority, and if not, it is a suspicious airplane, and then the latter two are downloaded to the ground through the satellite real-time distribution channel for subsequent work.
The method comprises a ground and satellite combined processing method, wherein a black and white list is obtained from ADS-B information big data result of ground processing and is used for identifying a specific aircraft target in real time by a satellite, meanwhile, uncertain information monitored by the satellite can be fed back to the ground in a closed loop mode for processing, a ground database sample is added, and the ground utilizes the existing investigation process to supplement the information to the black and white list.
In summary, through the above processes, the satellite on-orbit real-time and rapid specific aircraft target identification can be finally realized, the method also has the function of self-closed loop, and the more sample data is, the identification effect and efficiency can be adaptively improved.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (3)
1. A method for quickly identifying a specific airplane target based on satellite-ground integration is characterized by comprising the following steps:
step A: the ground system utilizes ADS-B information accumulated for a long time, and establishes a ranking of importance of the investigation conditions in a demand-oriented manner;
and B: inputting ADS-B information, and generating a blacklist and a white list according to a list generation flow;
and C: the updated black and white list of the airplane target is sent to a satellite through a remote control channel, the satellite discriminates ADS-B information received in real time, and the result is distributed to a user side in real time;
step D: sending uncertain ADS-B information received by a satellite to a ground system, generating a process by using a list, and supplementing a blacklist and a white list;
in the step A, establishing an importance ranking of the investigation conditions according to ADS-B information, and summarizing to 6 types of investigation conditions according to airplane target information included in ADS-B;
establishing the discrimination classification of the inspection condition by the ADS-B information into important, generally important, wherein the important can directly judge whether the airplane is the inspection condition of the specific airplane, and the important can judge whether the airplane is highly similar to the behavior of the specific airplane;
the 6 types of examination conditions of the airplane target information included according to the ADS-B are respectively whether DF is a specific airplane, whether AA is in a standard format, whether a flight file exists, whether airport records exist when the airplane stops, whether elevation information belongs to a cooperative airplane and whether the position is in a channel;
in the step B, historical ADS-B data is recorded into an ADS-B information troubleshooting system, and a blacklist and a white list are obtained through troubleshooting strategies;
the white list refers to airplanes which are screened by all the examination conditions and have no similar specific behaviors;
the blacklist refers to that a plurality of troubleshooting conditions are met and the target can be determined to be a specific airplane target.
2. The method for identifying the target of the specific aircraft based on the satellite-ground integration according to claim 1, wherein in the step C, the updated blacklist and white list of the ground system are sent to an on-satellite identification system of the satellite through a remote control channel, the satellite receives the ADS-B signal of the important attention area, the ADS-B information is compared with the content in the black-white list, and if the ADS-B information belongs to the blacklist or the ADS information to be investigated, the ADS-B information belonging to the blacklist or the ADS information to be investigated is sent to the user or the ground system in a real-time broadcasting manner.
3. The method for rapidly identifying the specific aircraft target based on the satellite-ground integration according to claim 1, wherein in the step D, uncertain ADS-B information received by a satellite is transmitted to a ground system, the work of the step B is repeated, the information is subjected to closed-loop feedback, an ADS-B black list and a white list are supplemented, and then the ADS-B black list and the white list are updated to the satellite, so that the target selection capability of the satellite is further improved.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105761550A (en) * | 2016-03-01 | 2016-07-13 | 北京航空航天大学 | Unmanned aerial vehicle (UAV) air operation security control method, UAV and server |
CN107210000A (en) * | 2015-01-29 | 2017-09-26 | 高通股份有限公司 | System and method for limiting the access of unmanned plane spatial domain |
CN108076433A (en) * | 2016-11-16 | 2018-05-25 | 中国电信股份有限公司 | Method, apparatus, system and the unmanned plane that unmanned plane no-fly zone auxiliary is set |
CN108520641A (en) * | 2018-03-28 | 2018-09-11 | 北京中科远卓科技信息有限公司 | Low flyer army integrated operation managing and control system between the police and the people |
CN109120354A (en) * | 2018-08-29 | 2019-01-01 | 无锡若飞科技有限公司 | Unmanned plane monitoring and managing method and system and computer storage medium |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN107210000A (en) * | 2015-01-29 | 2017-09-26 | 高通股份有限公司 | System and method for limiting the access of unmanned plane spatial domain |
CN105761550A (en) * | 2016-03-01 | 2016-07-13 | 北京航空航天大学 | Unmanned aerial vehicle (UAV) air operation security control method, UAV and server |
CN108076433A (en) * | 2016-11-16 | 2018-05-25 | 中国电信股份有限公司 | Method, apparatus, system and the unmanned plane that unmanned plane no-fly zone auxiliary is set |
CN108520641A (en) * | 2018-03-28 | 2018-09-11 | 北京中科远卓科技信息有限公司 | Low flyer army integrated operation managing and control system between the police and the people |
CN109120354A (en) * | 2018-08-29 | 2019-01-01 | 无锡若飞科技有限公司 | Unmanned plane monitoring and managing method and system and computer storage medium |
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