CN109283533A - Automated system is supervised in adaptive false target detection method, system and field - Google Patents
Automated system is supervised in adaptive false target detection method, system and field Download PDFInfo
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- CN109283533A CN109283533A CN201811190215.9A CN201811190215A CN109283533A CN 109283533 A CN109283533 A CN 109283533A CN 201811190215 A CN201811190215 A CN 201811190215A CN 109283533 A CN109283533 A CN 109283533A
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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
- 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
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
-
- 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/023—Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques
-
- 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/06—Traffic control systems for aircraft, e.g. air-traffic control [ATC] for control when on the ground
-
- 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
- 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
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
- G01S2013/916—Airport surface monitoring [ASDE]
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Aviation & Aerospace Engineering (AREA)
- Electromagnetism (AREA)
- Traffic Control Systems (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The embodiment of the invention discloses a kind of adaptive false target detection method, detection system and fields to supervise automated system, and method includes: to obtain the covering data of multiple sensors in the adaptive false target detection zone in airport；Grid database is constructed according to covering data；When target to be detected occurs, target to be detected is tentatively confirmed according to database, to obtain false target information；False target information is sent to control man-machine interface and carries out manual confirmation.Pass through the embodiment, when solving the monitoring source signal covering of airdrome scene multi-section, the problem of false target that field prison radar generates can not effectively be differentiated using setting non-initialization region or shielding area and inhibit false target, and it can effectively reduce the appearance of false target in blank pipe and field prison automated system, the false-alarms such as aircraft conflict are effectively reduced, the workload of controller is reduced.
Description
Technical field
The present invention relates to field of aerospace technology, and in particular to a kind of adaptive false target detection method, system and
Field prison automated system.
Background technique
Blank pipe and field prison automated system are that Civil Aviation ATM Sector is implemented to pass through core system that is empty and commanding over the ground
The monitoring data such as radar signal, ADS-B/ADS-C, MLAT and SMR are handled, provide airflight situation and scene mesh for controller
Target is shown and various flight collisions and various abnormal alarms, by processing flight plan and dynamic telegram, mentions for controller
For flight plan and flight dynamical correlation information and management means, ensuring Civil Aviation ATM to the security implementation of empty commander's task
In play an important role.
Implementing to monitor that the processing of data source plays central role in commander to sky and over the ground using automated system, it is empty
The generation of decoy not only results in the abnormality alarmings such as unnecessary conflict and generates, and also results in controller's distraction, will answer
The time of the processing normal target is wasted in the processing of false target.
In the prison automated system of field, the generation that radar false target is supervised in field mainly includes two kinds: (1) reflection of barrier,
The false target for being reflected radar wave by scene building or ground chaff interferent etc. and being generated；(2) since ambient noise is higher than
Supervise the noise gate threshold value that radar is set and the false image generated in field.Supervise the false target example of radar generation such as in field: certain state
Interior approach tower control reaction has a stationary field prison radar track to occur on runway side, the duration for a long time,
In aircraft taxiing procedures, which may hang up normal aircraft label, lead to runway collision alert or controller occur
Erroneous judgement.The example is as shown in Figure 1.
False target differentiation and suppressing method in the prison automated system of field and the false target processing side found in the air
Method is similar, filters false target by setting target non-initialization region and shielding area.Non-initialization region refers to
When the targetpath being continuously tracked enters the region, target not will be filtered, and particular monitored source is newly generated in the area
Track will be filtered；As long as blind zone refers to that the target into the region all will be filtered.
Common false target differentiates in the prison system of field and suppressing method is typically only capable to for some fixed void occurred
Decoy can not accomplish effectively to filter for some intermittent false targets occurred, will have a direct impact on the tracking of track with
And the plan of target is related, and the normal aircraft one that may will be occurred in the region by the way of filtration zone is arranged
It rises and filters out, cause the loss of Track In Track, seriously affect the safety and reliability of system.Cause this differentiation and inhibition empty
One of the drawbacks of decoy is very important the reason is that not coming in conjunction with the covering of the signals such as MLAT, ADS-B in scene effectively
Differentiate false target, effectively the authenticity of each target is not assessed.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of adaptive false target detection method, detection system and field prison
Automated system, when solving the monitoring source signal covering of airdrome scene multi-section, it is non-using being arranged that the false target that radar generates is supervised in field
The problem of initialization area or shielding area can not effectively differentiate and inhibit false target.
To achieve the goals above, it in a first aspect, the present invention provides a kind of adaptive false target detection method, is applicable in
In the situation that airdrome scene target is covered by multiple sensors, multiple sensors include field prison radar, MLAT and ADS-B.It should
Detection method includes:
Obtain the covering data of multiple sensors in the adaptive false target detection zone in airport；
Grid database is constructed according to the covering data；
When target to be detected occurs, the target to be detected is tentatively confirmed according to the database, to obtain
False target information；
The false target information is sent to control man-machine interface and carries out manual confirmation.
As a kind of preferred embodiment of the application, the adaptive false target detection zone in airport includes multiple nets
Lattice, the covering data for obtaining multiple sensors in the adaptive false target detection zone in airport specifically include:
Count the covering data of each sensor in each grid, and in each grid each sensor covering data it is equal
Reach the detection threshold value of false target.
As a kind of preferred embodiment of the application, when target to be detected occurs, according to the database to described
Target to be detected is tentatively confirmed, is specifically included with obtaining false target information:
When target to be detected occurs, the mesh to be detected is determined according to the adaptive false target detection zone in the airport
Cell where marking；
The grid database is inquired, to obtain the covering of each sensor in the cell where the target to be detected
Situation；
If coverage condition shows that cell where the target to be detected is covered by least one sensor, according to
Whether the monitoring source coverage condition of detection target reaches the given threshold that real goal should reach to judge that target to be detected is
No is false target.
As a kind of preferred embodiment of the application, the false target information is sent to control man-machine interface and is carried out
After manual confirmation, the method also includes:
False target prompt, and the no longer subsequent Track In Track of the target to be detected are carried out in the control man-machine interface
Middle output.
Second aspect, the embodiment of the invention provides a kind of prison automated systems, and it is more to be suitable for airdrome scene target
The situation that a sensor is covered, multiple sensors include field prison radar, MLAT and ADS-B.Wherein, this supervises automated system
Including background server, including processor, input equipment, output equipment and memory, the processor, input equipment, output
Equipment and memory are connected with each other, wherein for the memory for storing computer program, the computer program includes program
Instruction, the processor are configured for calling described program instruction, the method for executing above-mentioned first aspect.
The third aspect, the embodiment of the invention also provides a kind of adaptive false target detection systems, including are in communication with each other
Multiple sensors and field supervise automated system.Wherein, the field prison automated system is as described in second aspect.
As a kind of preferred embodiment of the application, the sensor includes field prison radar, MLAT and ADS-B.
Implement the embodiment of the present invention and first obtains machine suitable for the situation that airdrome scene target is covered by multiple sensors
The covering data of multiple sensors, construct grid data further according to the covering data in the adaptive false target detection zone in field
Library tentatively confirms the target to be detected according to the database, when target to be detected occurs to obtain false mesh
Information is marked, the false target information is finally sent to control man-machine interface and carries out manual confirmation.By the embodiment, solve
When the monitoring source signal covering of airdrome scene multi-section, false target that radar generates is supervised using setting non-initialization region or screen in field
The problem of region can not effectively differentiate and inhibit false target is covered, and can effectively reduce blank pipe and field prison automated system
The appearance of middle false target effectively reduces the false-alarms such as aircraft conflict, reduces the workload of controller.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the false target example schematic that field prison radar generates；
Fig. 2 is adaptive false target search coverage schematic diagram；
Fig. 3 is the flow diagram for the adaptive false target detection method that first embodiment of the invention provides；
Fig. 4 is the flow diagram for the adaptive false target detection method that second embodiment of the invention provides；
Fig. 5 is the structural schematic diagram for the adaptive false target detection system that first embodiment of the invention provides；
Fig. 6 is the structural schematic diagram of the background server of the midfield Fig. 5 prison automated system.
Specific embodiment
Specific embodiments of the present invention are described more fully below, it should be noted that the embodiments described herein is served only for illustrating
Illustrate, is not intended to restrict the invention.In the following description, in order to provide a thorough understanding of the present invention, a large amount of spies are elaborated
Determine details.It will be apparent, however, to one skilled in the art that: this hair need not be carried out using these specific details
It is bright.
Throughout the specification, meaning is referred to " one embodiment ", " embodiment ", " example " or " example "
: a particular feature, structure, or characteristic described in conjunction with this embodiment or example is comprised at least one embodiment of the invention.
Therefore, the phrase " in one embodiment ", " in embodiment ", " example " occurred in each place of the whole instruction
Or " example " is not necessarily all referring to the same embodiment or example.Furthermore, it is possible in any suitable combination and or sub-portfolio will be specific
Feature, structure or characteristic combine in one or more embodiment or examples.
Embodiment for a better understanding of the invention is now done as described below:
Adaptive false target detection method provided by the embodiment of the present invention has multiple sensings for airdrome scene target
The case where device covers, and having one in multiple sensors is SMR (field prison radar).Airport scene monitoring sensor is usual
Include SMR (field prison radar), MLAT (multipoint positioning) and ADS-B (Automatic dependent surveillance broadcast).
The entire adaptive false target detection zone of airdrome scene is made of the fritter net region that can configure size,
The coverage condition of each sensor can carry out statistical counting in each grid.When each sensor of historical statistics in grid
Covering data when reaching the detection threshold value that can carry out false target, which can be used to carry out the inspection of false target
It surveys.As shown in Fig. 2, being provided with web elements lattice according to the monitoring source coverage condition of airdrome scene, the starting point of grid layout is
(x0, y0), terminal are (x1, y1), and the size of each cell is a × a size, unit m.The adaptive false target detection
The coverage condition of each sensor counts in the database, when the relevant configuration of grid changes in each grid in method
Each lattice statistical information in database needs to count again.
In addition, being scanned in the grid of setting for emerging system track per next newly generated track
The probability that the target is arrived in each sensor scanning in the network will be obtained according to historical information.If each sensor all just
Often in the case where work, it is not that only a sensor can be swept which, which should have multiple sensor scannings to arrive,
It retouches, which can be identified as false target, and the false target should be prompted in man-machine interface.
It is further noted that the target may be non-cooperating formula in moving targets such as the movable vehicles of airdrome scene
Target, MLAT and ADS-B supervision equipment can not monitor the target, but SMR supervision equipment can be with, at this moment in SMR, MLAT or
ADS-B covers good net region, which should not be identified as false target.Conversely, in SMR, MLAT or ADS-B
Good area is covered, if the target occurred within a grid is collaborative target, but only ADS-B or MLAT can be scanned
It arrives, SMR equipment can not scan, which should be identified as false target.
Referring to FIG. 3, be the flow diagram for the adaptive false target detection method that first embodiment of the invention provides,
This method is suitable for the situation that airdrome scene target is covered by multiple sensors, and multiple sensors include field prison radar, MLAT
And ADS-B.
As shown, this method may comprise steps of:
S101 obtains the covering data of multiple sensors in the adaptive false target detection zone in airport；
S102 constructs grid database according to the covering data；
S103 tentatively confirms the target to be detected according to the database when target to be detected occurs, with
Obtain false target information；
The false target information is sent to control man-machine interface and carries out manual confirmation by S104.
By the embodiment, suitable for the situation that airdrome scene target is covered by multiple sensors, airport is first obtained certainly
The covering data for adapting to multiple sensors in false target detection zone construct grid database further according to the covering data,
When target to be detected occurs, the target to be detected is tentatively confirmed according to the database, to obtain false target
The false target information is finally sent to control man-machine interface and carries out manual confirmation by information.By the embodiment, solve
When airdrome scene multi-section monitors source signal covering, field supervises the false target that radar generates and uses setting non-initialization region or shielding
The problem of region can not effectively differentiate and inhibit false target, and can effectively reduce in blank pipe and field prison automated system
The appearance of false target effectively reduces the false-alarms such as aircraft conflict, reduces the workload of controller.
Referring to FIG. 4, be the flow diagram for the adaptive false target detection method that second embodiment of the invention provides,
This method is suitable for the situation that airdrome scene target is covered by multiple sensors, and multiple sensors include field prison radar, MLAT
And ADS-B.
As shown, this method may comprise steps of:
S201 obtains the covering data of multiple sensors in the adaptive false target detection zone in airport.
S202 constructs grid database according to the covering data.
Specifically, the adaptive false target detection zone in the airport includes multiple grids, counts each in each grid
The covering data of sensor, and the covering data of each sensor reach the detection threshold value of false target in each grid.
For example, connect that SMR (field prison radar), (broadcast type is automatic by ADS-B if drawing simultaneously in a certain scene monitoring system
Dependent surveillance) and MLAT (multiple spot) supervision equipment, by each monitoring signal source in each web elements lattice of daily each time point
The statistical information of coverage goal is stored into database, reaches the time gate limit value of external setting in the statistical information of database
When, the information in the database can be used to judge whether emerging target is false target in each grid.
S203 is determined described to be detected when target to be detected occurs according to the adaptive false target detection zone in airport
Cell where target.
S204 inquires grid database, to obtain covering for each sensor in the cell where the target to be detected
Lid situation.
S205, if coverage condition shows that cell where the target to be detected is covered by least one sensor,
It is to be detected to judge according to whether the monitoring source coverage condition of target to be detected reaches the given threshold that real goal should reach
Whether target is false target.
Illustrate such as: some target to be detected can only be arrived under mostly monitoring source coverage conditions by 1 sensor scanning in scene,
But after net region coverage condition where inquiring the detection target, it is found that the net region at least 3 sensors can be swept
It retouches.If judging can to scan the monitoring source number of target in grid at least under more monitoring sources coverage condition of outside setting
For 2 (given thresholds), then the target to be detected can be identified as false target.
Particularly, if the target to be detected is fallen into single-sensor false target shielding area, it is determined that described to be checked
Survey target is false target, and obtains the false target information.
The false target information is sent to control man-machine interface and carries out manual confirmation by S206.
S207 carries out false target prompt in the control man-machine interface, and the target to be detected is no longer continued a journey afterwards
It is exported in mark tracking.
For example, as shown in Fig. 2, when there is target B to be detected near the target A just moved on runway, really
Cell where fixed target B to be detected, each monitoring source of cell is covered where target B to be detected is inquired from grid database
Lid situation, to obtain query result, such as query result shows that SMR, ADS-B, MLAT can cover the cell region.
That is, cell where target B to be detected is covered by multiple monitoring sources (sensor), at this point, if further detecting in the list
First lattice are interior, target B to be detected is only scanned by a monitoring source (such as SMR) and arrived, and other monitoring sources are not scanned in the position
To the target, then assert that the target is false target, and the decoy information is sent to control man-machine interface and is confirmed, in people
After work confirmation, false target B can directly be filtered out in Track In Track later, no longer be exported.
Implement the detection method of the embodiment of the present invention, the feelings covered suitable for airdrome scene target by multiple sensors
Shape first obtains the covering data of multiple sensors in the adaptive false target detection zone in airport, further according to the covering data
Grid database is constructed tentatively to confirm the target to be detected according to the database when target to be detected occurs,
To obtain false target information, the false target information is finally sent to control man-machine interface and carries out manual confirmation.Pass through
The embodiment, when solving the monitoring source signal covering of airdrome scene multi-section, it is non-using being arranged that the false target that radar generates is supervised in field
The problem of initialization area or shielding area can not effectively differentiate and inhibit false target, and can effectively reduce blank pipe and
The appearance of false target, effectively reduces the false-alarms such as aircraft conflict, reduces the workload of controller in the prison automated system of field.
That is, in the present embodiment, to the detection of false target mainly according to each monitoring source historical data statistics, compare
It is analyzed in by common real-time monitoring data, the sensor region coverage condition obtained by historical data is relatively reliable, and
The analysis of each region cell can be controlled by parameters such as the sizes of control area, and statistical analysis parameter is directed to different machines
The different scene activity condition in field can be with strong applicability with flexible configuration.In addition, by by adaptive false target net region
The false target filtration zone being manually arranged combines, and can largely improve the recognition success rate of scene false target,
And the filtering to real goal can be avoided to the greatest extent.This method can effectively reduce scene false target and command control
Interference, mitigate the workload of controller.
Referring to FIG. 5, being the structural schematic diagram for the adaptive false target detection system that first embodiment of the invention provides.
As shown, the detection system includes the multiple sensors 100 being in communication with each other and field prison automated system 200.
Wherein, sensor includes but are not limited to field prison radar, MLAT and ADS-B etc..Supervise automated system 200 in field
Background server.
Specifically, as shown in fig. 6, the background server includes processor 101, input equipment 102,103 and of output equipment
Memory 104, above-mentioned processor 101, input equipment 102, output equipment 103 and memory 104 are mutually interconnected by bus 105
It connects.The memory 104 is for storing computer program, and the computer program includes program instruction, 101 quilt of processor
It is configured to call described program instruction, executes following steps:
Obtain the covering data of multiple sensors in the adaptive false target detection zone in airport；
Grid database is constructed according to the covering data；
When target to be detected occurs, the target to be detected is tentatively confirmed according to the database, to obtain
False target information；
The false target information is sent to control man-machine interface and carries out manual confirmation.
Further, the adaptive false target detection zone in the airport includes multiple grids, and the processor 101 goes back quilt
It is configured to call described program instruction, executes following steps:
Count the covering data of each sensor in each grid, and in each grid each sensor covering data it is equal
Reach the detection threshold value of false target.
Further, the processor 101 is additionally configured to call described program instruction, executes following steps:
When target to be detected occurs, the mesh to be detected is determined according to the adaptive false target detection zone in the airport
Cell where marking；
The grid database is inquired, to obtain the covering of each sensor in the cell where the target to be detected
Situation；
If coverage condition shows that cell where the target to be detected is covered by least one sensor, according to
Whether the monitoring source coverage condition of detection target reaches the given threshold that real goal should reach to judge that target to be detected is
No is false target.
Particularly, if the target to be detected is fallen into single-sensor false target shielding area, it is determined that described to be checked
Survey target is false target, and obtains the false target information.
Further, the processor 101 is additionally configured to call described program instruction, executes following steps:
False target prompt, and the no longer subsequent Track In Track of the target to be detected are carried out in the control man-machine interface
Middle output.
It should be appreciated that in embodiments of the present invention, alleged processor 101 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
Input equipment 102 may include keyboard etc., and output equipment 103 may include display (LCD etc.), loudspeaker etc..
The memory 104 may include read-only memory and random access memory, and to processor 101 provide instruction and
Data.The a part of of memory 104 can also include nonvolatile RAM.For example, memory 104 can also be deposited
Store up the information of device type.
In the specific implementation, processor 101 described in the embodiment of the present invention, input equipment 102, output equipment 103 can
Implementation described in the embodiment of adaptive false target detection method provided in an embodiment of the present invention is executed, herein not
It repeats again.
The adaptive false target detection system for implementing the embodiment of the present invention solves airdrome scene multi-section monitoring source signal
When covering, the false target that field prison radar generates effectively can not be differentiated and be inhibited using setting non-initialization region or shielding area
The problem of false target, and the appearance of false target in blank pipe and field prison automated system can be effectively reduced, effectively subtract
The false-alarms such as few aircraft conflict, reduce the workload of controller.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (9)
1. a kind of adaptive false target detection method, suitable for the situation that airdrome scene target is covered by multiple sensors,
Multiple sensors include field prison radar, MLAT and ADS-B, which is characterized in that the described method includes:
Obtain the covering data of multiple sensors in the adaptive false target detection zone in airport；
Grid database is constructed according to the covering data；
When target to be detected occurs, the target to be detected is tentatively confirmed according to the database, to obtain falseness
Target information；
The false target information is sent to control man-machine interface and carries out manual confirmation.
2. false target detection method as described in claim 1 adaptive, which is characterized in that the adaptive false mesh in the airport
Marking detection zone includes multiple grids, obtains the covering data tool of multiple sensors in the adaptive false target detection zone in airport
Body includes:
The covering data of each sensor in each grid are counted, and the covering data of each sensor reach in each grid
The detection threshold value of false target.
3. adaptive false target detection method as claimed in claim 2, which is characterized in that when target to be detected occurs,
The target to be detected is tentatively confirmed according to the database, is specifically included with obtaining false target information:
When target to be detected occurs, the target institute to be detected is determined according to the adaptive false target detection zone in the airport
Cell；
The grid database is inquired, to obtain the covering feelings of each sensor in the cell where the target to be detected
Condition；
If coverage condition shows that cell where the target to be detected is covered by least one sensor, according to be detected
The monitoring source coverage condition of target whether reach the given threshold that real goal should reach judge target to be detected whether be
False target.
4. adaptive false target detection method as described in any one of claims 1-3, which is characterized in that by the false mesh
Mark information is sent to after control man-machine interface progress manual confirmation, the method also includes:
False target prompt is carried out in the control man-machine interface, and defeated in the no longer subsequent Track In Track of the target to be detected
Out.
5. a kind of prison automated system, suitable for the situation that airdrome scene target is covered by multiple sensors, multiple sensings
Device includes field prison radar, MLAT and ADS-B, which is characterized in that the field prison automated system includes background server, after described
Platform server includes processor, input equipment, output equipment and memory, the processor, input equipment, output equipment and is deposited
Reservoir is connected with each other, wherein the memory is for storing computer program, and the computer program includes program instruction, institute
It states processor to be configured for calling described program instruction, executes the method according to claim 1.
6. automated system is supervised in field as claimed in claim 5, which is characterized in that the processor is also configured to described in calling
Program instruction executes following steps:
False target prompt is carried out in the control man-machine interface, and defeated in the no longer subsequent Track In Track of the target to be detected
Out.
7. a kind of adaptive false target detection system supervises automated system including the multiple sensors being in communication with each other and field,
It is characterized in that, the field prison automated system is as claimed in claim 5.
8. adaptive false target detection system as claimed in claim 7, which is characterized in that the processor is also configured to
Described program instruction is called, following steps are executed:
False target prompt is carried out in the control man-machine interface, and defeated in the no longer subsequent Track In Track of the target to be detected
Out.
9. adaptive false target detection system as claimed in claim 8, which is characterized in that the sensor includes field prison thunder
It reaches, MLAT and ADS-B.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811190215.9A CN109283533A (en) | 2018-10-12 | 2018-10-12 | Automated system is supervised in adaptive false target detection method, system and field |
Applications Claiming Priority (1)
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110032666A (en) * | 2019-03-05 | 2019-07-19 | 上海卫星工程研究所 | Particular aircraft target based on history ADS-B selects method |
| CN111142126A (en) * | 2019-12-11 | 2020-05-12 | 四川九洲空管科技有限责任公司 | Anti-cheating comprehensive solution method based on single-channel ADS-B ground station |
| CN113759366A (en) * | 2020-06-02 | 2021-12-07 | 杭州海康威视数字技术股份有限公司 | Target detection method and device |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090201191A1 (en) * | 2006-05-08 | 2009-08-13 | Vadim Kozhevnikov | Aircraft tracking using low cost tagging as a discriminator |
| CN101582201A (en) * | 2009-06-23 | 2009-11-18 | 南京航空航天大学 | Airport surface movement control system based on discrete event monitor and method thereof |
| CN101650879A (en) * | 2009-07-06 | 2010-02-17 | 民航数据通信有限责任公司 | Network optimization method of air traffic control (ATC) communication and navigation surveillance equipment |
| CN102142023A (en) * | 2010-01-29 | 2011-08-03 | 株式会社电装 | Map data, map data production method, storage medium and navigation apparatus |
| CN105575021A (en) * | 2016-03-01 | 2016-05-11 | 杨兴文 | Airport runway safety early warning system and airport runway safety early warning method |
| CN106959441A (en) * | 2017-02-28 | 2017-07-18 | 中国电子科技集团公司第二十八研究所 | A kind of airport surface detection radar multipath false target flight path suppressing method |
| CN107064902A (en) * | 2017-05-12 | 2017-08-18 | 安徽四创电子股份有限公司 | A kind of target condensing method for airport surface detection radar system |
| CN107942293A (en) * | 2017-10-30 | 2018-04-20 | 中国民用航空总局第二研究所 | The Target dots processing method and system of airport surface detection radar |
| CN108306670A (en) * | 2016-12-16 | 2018-07-20 | 泰雷兹管理与服务德国股份有限公司 | Method for verifying the location information being included in ADS-B and the base stations ADS-B |
-
2018
- 2018-10-12 CN CN201811190215.9A patent/CN109283533A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090201191A1 (en) * | 2006-05-08 | 2009-08-13 | Vadim Kozhevnikov | Aircraft tracking using low cost tagging as a discriminator |
| CN101582201A (en) * | 2009-06-23 | 2009-11-18 | 南京航空航天大学 | Airport surface movement control system based on discrete event monitor and method thereof |
| CN101650879A (en) * | 2009-07-06 | 2010-02-17 | 民航数据通信有限责任公司 | Network optimization method of air traffic control (ATC) communication and navigation surveillance equipment |
| CN102142023A (en) * | 2010-01-29 | 2011-08-03 | 株式会社电装 | Map data, map data production method, storage medium and navigation apparatus |
| CN105575021A (en) * | 2016-03-01 | 2016-05-11 | 杨兴文 | Airport runway safety early warning system and airport runway safety early warning method |
| CN108306670A (en) * | 2016-12-16 | 2018-07-20 | 泰雷兹管理与服务德国股份有限公司 | Method for verifying the location information being included in ADS-B and the base stations ADS-B |
| CN106959441A (en) * | 2017-02-28 | 2017-07-18 | 中国电子科技集团公司第二十八研究所 | A kind of airport surface detection radar multipath false target flight path suppressing method |
| CN107064902A (en) * | 2017-05-12 | 2017-08-18 | 安徽四创电子股份有限公司 | A kind of target condensing method for airport surface detection radar system |
| CN107942293A (en) * | 2017-10-30 | 2018-04-20 | 中国民用航空总局第二研究所 | The Target dots processing method and system of airport surface detection radar |
Non-Patent Citations (1)
| Title |
|---|
| 吕超: "场面监视技术关于假目标处理技术的探讨", 《科技经济导刊》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110032666A (en) * | 2019-03-05 | 2019-07-19 | 上海卫星工程研究所 | Particular aircraft target based on history ADS-B selects method |
| CN110032666B (en) * | 2019-03-05 | 2022-03-18 | 上海卫星工程研究所 | Specific airplane target selection method based on historical ADS-B |
| CN111142126A (en) * | 2019-12-11 | 2020-05-12 | 四川九洲空管科技有限责任公司 | Anti-cheating comprehensive solution method based on single-channel ADS-B ground station |
| CN111142126B (en) * | 2019-12-11 | 2022-03-01 | 四川九洲空管科技有限责任公司 | Anti-cheating comprehensive solution method based on single-channel ADS-B ground station |
| CN113759366A (en) * | 2020-06-02 | 2021-12-07 | 杭州海康威视数字技术股份有限公司 | Target detection method and device |
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