CN111951612A - Data fusion method, device and system - Google Patents
Data fusion method, device and system Download PDFInfo
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- CN111951612A CN111951612A CN202010717175.XA CN202010717175A CN111951612A CN 111951612 A CN111951612 A CN 111951612A CN 202010717175 A CN202010717175 A CN 202010717175A CN 111951612 A CN111951612 A CN 111951612A
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- G08—SIGNALLING
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- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0073—Surveillance aids
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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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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- G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
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Abstract
The embodiment of the invention provides a data fusion method, a data fusion device and a data fusion system, which are used for reliable operation of special vehicles on an airport scene. The method comprises the following steps: receiving ADS-B data from a plurality of aircraft at an airport surface and a plurality of airport surface surveillance radar data from the airport surface; and taking the ADS-B data as a substrate, and performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the surveillance data. The method overcomes the defect that the operation of special vehicles on the airport surface is ensured only by relying on ADS-B data of the aircraft, so that the special vehicles can operate more reliably.
Description
Technical Field
The invention relates to the field of airport surface special vehicle operation, in particular to a data fusion method, a device and a system based on an aircraft ADS-B and an airport surface surveillance radar.
Background
Airport scene special vehicles are an extremely important link in an air transportation chain, and the normal operation of an aircraft needs the guarantee of various ground service vehicles such as a guide vehicle, a tractor, a ferry vehicle, a luggage transfer vehicle, a food vehicle, a refueling vehicle and the like.
IN order to ensure the running reliability of special vehicles on airport surfaces, the application of special vehicles based on ADS-B IN technology on the airport surface traffic situation perception enhancement technology is available at present, but the application only depends on ADS-B data issued by an aircraft as a single data source, and the following three problems exist under the condition that no other data source is available:
1) the flight number information of the aircraft cannot be obtained due to improper operation of the unit;
2) the ADS-B OUT system is not started according to the requirement of the aircraft, so that the traffic situation information of the aircraft cannot be obtained;
3) partial aircraft ADS-B data caused by scene signal shielding is unavailable;
the three problems are troubling the reliable operation of the special vehicle ADS-B IN traffic situation enhancement system on the airport scene, and when ADS-B data is incomplete or unavailable, the traffic situation information needs to be compensated IN a mode of fusing other data sources by an algorithm.
Disclosure of Invention
In view of this, embodiments of the present invention provide a data fusion method, apparatus and system based on aircraft ADS-B and airport surface surveillance radar, which at least partially solve the problems in the prior art.
In a first aspect, the invention discloses a data fusion method based on an aircraft ADS-B and an airport surface surveillance radar, which is used for reliable operation of special vehicles on the airport surface and comprises the following steps:
a receiving step of receiving ADS-B data from a plurality of aircrafts on an airport surface and a plurality of airport surface monitoring radar data from the airport surface;
and a fusion step, namely taking the ADS-B data as a substrate, and performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the surveillance data.
Further, in the data fusion method, the fusion step further includes:
a first list acquisition step, namely establishing a first aircraft list of the airport scene based on the airport scene monitoring radar data, wherein the first aircraft list comprises flight numbers and longitude and latitude position information corresponding to each flight;
a second list obtaining step, namely establishing a second aircraft list based on ADS-B data of the aircraft, wherein the second aircraft list comprises longitude and latitude position information of the flight;
and blind-repairing, namely performing pairing blind-repairing based on longitude and latitude position information of the flight according to the first aircraft list and the second aircraft list.
Further, in the data fusion method, the blind-fill step includes:
if some data in the ADS-B data does not have a flight number, but the longitude and latitude information contained in the ADS-B data can be matched with airport scene monitoring radar data, supplementing the ADS-B data without the flight number by using the airport scene monitoring radar data; or
And if the airport scene monitoring radar data does not have the longitude and latitude position information of the ADS aircraft matched with the airport scene monitoring radar data, supplementing the target without the ADS-B data by using the airport scene monitoring radar data.
Further, in the above data fusion method, the receiving step and the fusion step are both performed by a vehicle-mounted end of a special vehicle, and in the receiving step, before the airport surface surveillance radar data is sent to the vehicle-mounted end of the special vehicle, the following processing is performed:
filtering, namely filtering the airport scene monitoring radar data according to the latitude and longitude range and the data content, and reserving data with the range of a given area and available content of the airport;
a merging step, merging the reserved data packets;
a screening step, wherein the merged data packets are screened based on time; and is
The filtering step, the merging step and the screening step are executed by a server side capable of receiving airport scene surveillance radar data.
Further, in the data fusion method, the filtering step includes:
pre-defining the longitude and latitude of each point of a polygon to enable the polygon to cover the airport and the surrounding environment thereof;
and judging whether the aircraft is in the polygon, and if not, discarding the scene monitoring radar data aiming at the aircraft.
Further, in the data fusion method, the merging step includes:
the plurality of UDP packets are combined into 1 UDP packet.
Further, in the data fusion method, the merging step further includes: and filling the merged UDP packet with blank data.
Further, in the data fusion method, the screening step includes: appointing 4n-1 to 4n seconds of data packets and then sending the packets; wherein n is a natural number.
In a second aspect, the invention further discloses a data fusion device based on the aircraft ADS-B and the airport surface surveillance radar, which is used for reliable operation of special vehicles on the airport surface and comprises:
the receiving module is used for receiving ADS-B data from a plurality of aircrafts on an airport scene and a plurality of airport scene monitoring radar data from the airport scene;
and the fusion module is used for performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the ADS-B data as a substrate and utilizing the surveillance data.
In a third aspect, the invention also discloses a data fusion system based on the aircraft ADS-B and the airport scene surveillance radar, which includes:
the special vehicle comprises a vehicle-mounted end and a service end;
the special vehicle-mounted end comprises an ADS-B receiver and a data fusion processor;
the ADS-B receiver is used for receiving ADS-B data from a plurality of aircrafts on an airport scene and decoding the ADS-B data;
the server is used for receiving airport scene monitoring radar data and sending the data to the data fusion processor;
and the data fusion processor is used for taking the ADS-B data as a substrate and utilizing the monitoring data to perform data supplement, data correction and data enhancement on the airport scene monitoring radar data.
The invention combines the operation characteristics of various airport scene operation vehicles, the technical characteristics of an airborne ADS-B OUT system and the technical characteristics of airport scene monitoring radars, fuses the ADS-B data of the aircraft of the airport scene special vehicle and the airport scene monitoring radar data, takes the ADS-B data as a substrate, and utilizes the monitoring data to perform data supplement, data correction and data enhancement on the airport scene monitoring radar data, thereby overcoming the defect of ensuring the operation of the airport scene special vehicle by only depending on the ADS-B data of the aircraft, and leading the special vehicle to operate more reliably.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flowchart illustrating steps of a data fusion method based on aircraft ADS-B and airport surface surveillance radar according to an embodiment of the present invention;
FIG. 2 is a flowchart of the fusion step executed in the data fusion method based on the aircraft ADS-B and the airport surface surveillance radar according to the embodiment of the present invention;
fig. 3 is a flowchart of data processing steps performed before airport surface surveillance radar data is sent to the vehicle-mounted end of the special vehicle in the data fusion method based on the aircraft ADS-B and the airport surface surveillance radar according to the embodiment of the present invention;
FIG. 4 is a schematic diagram of a screening working principle based on an event in a data fusion method based on an aircraft ADS-B and an airport surface surveillance radar according to an embodiment of the present invention;
FIG. 5 is a block diagram of a data fusion device based on an aircraft ADS-B and an airport scene surveillance radar according to an embodiment of the present invention;
FIG. 6 is a block diagram of a data fusion system based on aircraft ADS-B and airport scene surveillance radar.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The embodiments of the present disclosure are described below with specific examples, and other advantages and effects of the present disclosure will be readily apparent to those skilled in the art from the disclosure in the specification. It is to be understood that the described embodiments are merely illustrative of some, and not restrictive, of the embodiments of the disclosure. The disclosure may be embodied or carried out in various other specific embodiments, and various modifications and changes may be made in the details within the description without departing from the spirit of the disclosure. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The implementation planning of the civil aviation ADS-B aims to realize the comprehensive operation of the transportation aviation ADS-B OUT. But a few flights still exist in the actual operation process and do not operate the ADS-B OUT system according to the requirements. Therefore, a method and a system are reasonably adopted to fuse the aircraft ADS-B data with airport scene monitoring radar data accurately carrying aircraft flight number and model information.
Referring to fig. 1, fig. 1 is a flow chart showing steps of a data fusion method based on aircraft ADS-B and airport surface surveillance radar according to an embodiment of the present invention, including the following steps:
receiving step S110, receiving ADS-B data from a plurality of aircraft on an airport surface and a plurality of airport surface surveillance radar data from the airport surface.
ADS-B is short for automatic relevant monitoring broadcast, the system can automatically acquire parameters from relevant airborne equipment to broadcast information such as position, altitude, speed, course, identification number and the like of the airplane to other airplanes or ground stations without manual operation or inquiry, so that controllers can monitor the state of the airplane.
The applications of ADS-B with respect to the direction of information transfer of the aircraft fall into two categories: transmit (OUT) and receive (IN). OUT is the basic function of ADS-B, which is responsible for transmitting signals from an aircraft sender to a ground receiving station or other aircraft via line-of-sight propagation. The ADS-B IN means that the aircraft receives ADS-B OUT information sent by other aircraft or information sent by ground service equipment, provides operation support and situational awareness for a unit, can be applied to the aspects of an anti-collision function, approaching assistance, traffic situation perception and the like of the aircraft, and is a future ADS-B application development direction.
Airport scene surveillance radar is a radar used in air traffic control to monitor the activity of aircraft and vehicles on runways, parking ramps. It can make the controller comprehensively understand and master the distribution and activity condition of various targets on the airport scene. The radar is required to have high resolution, the antenna has high rotating speed, high data rate is ensured, and various moving target types can be distinguished.
And a fusion step S120, using the ADS-B data as a base, and performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the surveillance data.
In a specific embodiment, the fusing step further comprises:
a first list obtaining step S1201, wherein a first aircraft list of the airport scene is established based on the airport scene monitoring radar data, and the first aircraft list comprises flight numbers and longitude and latitude position information corresponding to each flight;
a second list obtaining step S1202, establishing a second aircraft list based on ADS-B data of the aircraft, wherein the second aircraft list comprises longitude and latitude position information of the flight;
and a blind-repairing step S1203, performing pairing blind-repairing based on longitude and latitude position information of the flight according to the first aircraft list and the second aircraft list.
More specifically, in the process of blind repair, if some piece of data in the ADS-B data has no flight number, but the longitude and latitude information contained in the ADS-B data can be matched with airport scene monitoring radar data, the ADS-B data without the flight number is supplemented by the airport scene monitoring radar data; and if the airport scene monitoring radar data does not have the longitude and latitude position information of the ADS aircraft matched with the airport scene monitoring radar data, supplementing the target without the ADS-B data by using the airport scene monitoring radar data.
In the embodiment, in practical implementation, both the receiving step S110 and the fusing step S120 are executed by the vehicle-mounted end of the special vehicle.
In one embodiment, airport scene surveillance radar data is transmitted over fiber to a server equipped with airport 4G private network adaptation algorithms using ASTERIX/CAT 062. Because airport scene surveillance radar data has the characteristics of short single data, large total data volume and wide coverage airspace, if original airport scene surveillance radar data is directly sent to a vehicle end in an airport 4G private network, the problems of high data packet loss rate, high 4G bandwidth occupation and high-proportion invalid computing resource occupation of the vehicle end occur. Therefore, the original scene surveillance radar data is specially processed by using an airport 4G private network adaptation algorithm.
Specifically, referring to fig. 3, monitoring radar data at an airport scene before sending the data to the special vehicle-mounted terminal further comprises the following processing at a service terminal:
a filtering step 1001, which is used for filtering the airport scene monitoring radar data according to the latitude and longitude range and the data content, and reserving data with the given area range and available content of the airport;
a merging step 1002, merging the reserved data packets. By combining a plurality of ASTERIX/CAT062 data packet transmissions, the frequency of transmitting data packets in the airport 4G private network is greatly reduced;
a screening step 1003, screening the merged data packet based on time. Particularly, the ASTERIX/CAT062 data packets are screened based on time, and occupation of airport 4G private network bandwidth is further reduced.
The filtering step 1001, the merging step 1002, and the screening step 1003 are executed for a server capable of receiving airport scene surveillance radar data.
Further, the filtering step 1001 may be implemented by:
step A), pre-defining the longitude and latitude of each point of a polygon to enable the polygon to cover an airport and the surrounding environment thereof;
and B), judging whether the aircraft is in the polygon, and if not, discarding the radar data for the scene monitoring of the aircraft.
Further, the merging step 1002 may be implemented by: the plurality of UDP packets are combined into 1 UDP packet. And, in a more preferred embodiment, the merging step further comprises padding said merged UDP packet with blank data. That is to say, because the UDP transmission in some airport 4G private networks has the problem of serious packet loss of small volume packets, the 4G private network can be adapted in a manner of merging multiple UDP packets into 1 UDP packet. If the amount of data is too small, the merged large-volume UDP packet is also filled with blank data.
Because the data transmission frequency of the scene monitoring radar is once per second, and the requirement of the vehicle-mounted application on the data frequency of the scene monitoring radar can be properly reduced, the data screening method based on time can be adopted to reduce the transmission frequency. In one embodiment, the screening step may be: appointing 4n-1 to 4n seconds of data packets and then sending the packets; wherein n is a natural number. That is, only the scene monitoring radar data received in the 4 th second is transmitted: and only combining the data appearing from the 3 rd second to the 4 th second, sending the data to the vehicle-mounted end through the 4G private network, and repeating the steps. As shown with reference to fig. 4.
In the embodiment, the ADS-B data is directly collected by the vehicle-mounted end, and the airport scene monitoring radar data is transmitted to the vehicle-mounted end through the optical fiber and the airport 4G private network, so that the real-time reliability of the ADS-B data is higher compared with the real-time reliability of the ADS-B data. The data fusion algorithm preferentially considers ADS-B data as a data base, and utilizes airport scene monitoring data to supplement and correct the loss of the ADS-B data. Meanwhile, because the airport scene monitoring radar data not only contains target positioning information, but also contains flight plan information, the functionality of the original ADS-B data can be enhanced.
In a second aspect, the present invention further discloses a data fusion device based on the aircraft ADS-B and the airport surface surveillance radar, which is used for reliable operation of the airport surface special vehicle, and with reference to fig. 5, the data fusion device includes:
a receiving module 51 for receiving ADS-B data from a plurality of aircraft at an airport surface and a plurality of airport surface surveillance radar data from the airport surface;
and the fusion module 52 takes the ADS-B data as a base, and performs data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the surveillance data.
The invention combines the operation characteristics of various airport scene operation vehicles, the technical characteristics of an airborne ADS-B OUT system and the technical characteristics of airport scene monitoring radars, fuses the ADS-B data of the aircraft of the airport scene special vehicle and the airport scene monitoring radar data, takes the ADS-B data as a substrate, and utilizes the monitoring data to perform data supplement, data correction and data enhancement on the airport scene monitoring radar data, thereby overcoming the defect of ensuring the operation of the airport scene special vehicle by only depending on the ADS-B data of the aircraft, and leading the special vehicle to operate more reliably.
In a third aspect, the present invention further discloses a data fusion system based on the aircraft ADS-B and the airport surface surveillance radar, referring to fig. 6, including: a special vehicle is in-vehicle 61 and a service end 62. The special vehicle on-board end 61 includes an ADS-B receiver 611 and a data fusion processor 612. The ADS-B receiver 611 is used for receiving ADS-B data from a plurality of aircrafts on an airport scene and decoding the ADS-B data; the server 62 is used for receiving data from the airport scene surveillance radar and sending the data to the data fusion processor 612; the data fusion processor 612 is configured to use the ADS-B data as a base, and perform data supplementation, data correction, and data enhancement on the airport surface surveillance radar data by using the surveillance data.
Because airport scene surveillance radar data has the characteristics of short single data, large total data volume and wide coverage airspace, if original airport scene surveillance radar data is directly sent to a vehicle end in an airport 4G private network, the problems of high data packet loss rate, high 4G bandwidth occupation and high-proportion invalid computing resource occupation of the vehicle end occur. Therefore, the original scene surveillance radar data is specially processed by using an airport 4G private network adaptation algorithm. Therefore, the server 62 of the present embodiment is further provided with an airport 4G private network adaptation processor 621. Airport scene surveillance radar data is transmitted over fiber to the airport 4G private network adaptation processor 621 using ASTERIX/CAT062 and, therein, performs the following operations:
i) filtering the airport scene monitoring radar data according to the latitude and longitude range and the data content; data is retained that the airport is given a range of areas and the content is available.
In one embodiment, the processing may be performed as follows:
step A), pre-defining the longitude and latitude of each point of a polygon to enable the polygon to cover an airport and the surrounding environment thereof;
and B), judging whether the aircraft is in the polygon, and if not, discarding the radar data for the scene monitoring of the aircraft.
ii) merging the reserved data packets. By combining multiple ASTERIX/CAT062 packet transmissions, the frequency of packet transmissions in airport 4G private networks is greatly reduced.
In one embodiment, multiple UDP packets are combined into 1 UDP packet. And, in a more preferred embodiment, the merging step further comprises padding said merged UDP packet with blank data. That is to say, because the UDP transmission in some airport 4G private networks has the problem of serious packet loss of small volume packets, the 4G private network can be adapted in a manner of merging multiple UDP packets into 1 UDP packet. If the amount of data is too small, the merged large-volume UDP packet is also filled with blank data.
iii) screening the merged packets based on time. Particularly, the ASTERIX/CAT062 data packets are screened based on time, and occupation of airport 4G private network bandwidth is further reduced.
Because the data transmission frequency of the scene monitoring radar is once per second, and the requirement of the vehicle-mounted application on the data frequency of the scene monitoring radar can be properly reduced, the data screening method based on time can be adopted to reduce the transmission frequency. In one embodiment, the screening step may be: appointing 4n-1 to 4n seconds of data packets and then sending the packets; wherein n is a natural number. That is, the data appearing from the 3 rd second to the 4 th second are combined and then transmitted to the vehicle-mounted terminal through the 4G private network, and the data appearing from the 7 th second to the 8 th second are combined and then transmitted to the vehicle-mounted terminal … … through the 4G private network, and so on.
The vehicle-mounted terminal 61 is provided with an ADS-B receiver 611 capable of receiving and decoding ADS-B data from a scene aircraft, and transmitting the decoded ADS-B data to a data fusion processor 612 located in the vehicle-mounted terminal 61. The data fusion processor 612 is adapted to airport scene operation characteristics, performs fusion processing on ADS-B data of an aircraft and airport scene surveillance radar data, and finally performs presentation of fused content by using a vehicle-mounted HUD device or a vehicle-mounted flat panel of a vehicle-mounted end.
In one embodiment, the fusion mode in the data fusion processor 612 may include:
i) establishing a first aircraft list of the airport scene based on the airport scene monitoring radar data, wherein the first aircraft list comprises flight numbers and longitude and latitude position information corresponding to each flight;
ii) establishing a second aircraft manifest based on ADS-B data of the aircraft, the second aircraft manifest including latitude and longitude location information of the flight;
and iii) according to the first aircraft list and the second aircraft list, carrying out pairing and blind-repairing based on longitude and latitude position information of flights.
More specifically, in the process of blind repair, if some piece of data in the ADS-B data has no flight number, but the longitude and latitude information contained in the ADS-B data can be matched with airport scene monitoring radar data, the ADS-B data without the flight number is supplemented by the airport scene monitoring radar data; and if the airport scene monitoring radar data does not have the longitude and latitude position information of the ADS aircraft matched with the airport scene monitoring radar data, supplementing the target without the ADS-B data by using the airport scene monitoring radar data.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A data fusion method based on an aircraft ADS-B and an airport surface surveillance radar is used for reliable operation of airport surface special vehicles, and is characterized by comprising the following steps:
a receiving step of receiving ADS-B data from a plurality of aircrafts on an airport surface and a plurality of airport surface monitoring radar data from the airport surface;
and a fusion step, namely taking the ADS-B data as a substrate, and performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the surveillance data.
2. The data fusion method of claim 1, wherein the fusing step further comprises:
a first list acquisition step, namely establishing a first aircraft list of the airport scene based on the airport scene monitoring radar data, wherein the first aircraft list comprises flight numbers and longitude and latitude position information corresponding to each flight;
a second list obtaining step, namely establishing a second aircraft list based on ADS-B data of the aircraft, wherein the second aircraft list comprises longitude and latitude position information of the flight;
and blind-repairing, namely performing pairing blind-repairing based on longitude and latitude position information of the flight according to the first aircraft list and the second aircraft list.
3. The data fusion method of claim 2, wherein the blinding step comprises:
if some data in the ADS-B data does not have a flight number, but the longitude and latitude information contained in the ADS-B data can be matched with airport scene monitoring radar data, supplementing the ADS-B data without the flight number by using the airport scene monitoring radar data; or
And if the airport scene monitoring radar data does not have the longitude and latitude position information of the ADS aircraft matched with the airport scene monitoring radar data, supplementing the target without the ADS-B data by using the airport scene monitoring radar data.
4. The data fusion method of claim 3, wherein the receiving step and the fusing step are both performed by a special vehicle onboard terminal, and wherein the airport surface surveillance radar data is processed as follows before being transmitted to the special vehicle onboard terminal in the receiving step:
filtering, namely filtering the airport scene monitoring radar data according to the latitude and longitude range and the data content, and reserving data with the range of a given area and available content of the airport;
a merging step, merging the reserved data packets;
a screening step, wherein the merged data packets are screened based on time; and is
The filtering step, the merging step and the screening step are executed by a server side capable of receiving airport scene surveillance radar data.
5. The data fusion method of claim 4, wherein the filtering step comprises:
pre-defining the longitude and latitude of each point of a polygon to enable the polygon to cover the airport and the surrounding environment thereof;
and judging whether the aircraft is in the polygon, and if not, discarding the scene monitoring radar data aiming at the aircraft.
6. The data fusion method of claim 5, wherein the merging step comprises:
multiple UDP packets are merged into 1 UDR packet.
7. The data fusion method of claim 6, wherein the merging step further comprises: and filling the merged UDP packet with blank data.
8. The data fusion method of claim 7, wherein the screening step is: appointing 4n-1 to 4n seconds of data packets and then sending the packets; wherein n is a natural number.
9. A data fusion device based on an aircraft ADS-B and an airport surface surveillance radar is used for reliable operation of airport surface special vehicles and is characterized by comprising:
the receiving module is used for receiving ADS-B data from a plurality of aircrafts on an airport scene and a plurality of airport scene monitoring radar data from the airport scene;
and the fusion module is used for performing data supplement, data correction and data enhancement on the airport scene surveillance radar data by using the ADS-B data as a substrate and utilizing the surveillance data.
10. A data fusion system based on aircraft ADS-B and airport scene surveillance radar comprises:
the special vehicle comprises a vehicle-mounted end and a service end;
the special vehicle-mounted end comprises an ADS-B receiver and a data fusion processor;
the ADS-B receiver is used for receiving ADS-B data from a plurality of aircrafts on an airport scene and decoding the ADS-B data;
the server is used for receiving airport scene monitoring radar data and sending the data to the data fusion processor;
and the data fusion processor is used for taking the ADS-B data as a substrate and utilizing the monitoring data to perform data supplement, data correction and data enhancement on the airport scene monitoring radar data.
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| CN113344093A (en) * | 2021-06-21 | 2021-09-03 | 成都民航空管科技发展有限公司 | Multi-source ADS-B data abnormal time scale detection method and system |
| CN115100293A (en) * | 2022-06-24 | 2022-09-23 | 河南工业大学 | ADS-B signal blindness-compensating method |
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