CN103824477A - Blank pipe radar false target automatic recognition method - Google Patents
Blank pipe radar false target automatic recognition method Download PDFInfo
- Publication number
- CN103824477A CN103824477A CN201410060850.0A CN201410060850A CN103824477A CN 103824477 A CN103824477 A CN 103824477A CN 201410060850 A CN201410060850 A CN 201410060850A CN 103824477 A CN103824477 A CN 103824477A
- Authority
- CN
- China
- Prior art keywords
- flight path
- data
- radar
- decoy
- alarm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Radar Systems Or Details Thereof (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a blank pipe radar false target automatic recognition method. By comparing of detected unknown target track information and normal range track information and comparing with the 4D track of flight scheduling data, a false target can be found timely and accurately. Abnormal data are recorded for statistics and warning according to zones and types and for analyzing the occurrence probability and the occurrence type of the false target in a certain zone, and aircraft air route optimization can be promoted.
Description
Technical field
The invention belongs to computer applied algorithm, relate to the information support field of mobile mobile terminal.Be specifically related to a kind of emergency information method for supporting and system thereof that is applied to mobile terminal.
Background technology
Air traffic field, along with global air transportation fast development, aviation flow increase substantially, air traffic obstruction, spatial domain aircraft get more and more, decoy is increasing on spatial domain impact, serious can cause airliner delay, aircraft fuel oil waste, even causes blank pipe disaster.
Get rid of decoy, for ensureing aviation safety, reduce the discharge of aviation carbon, promote that aircraft is safe and orderly to fly to have very important effect.The long-term observation of decoy, also has indelible effect for the assessment of the radar quality of aviation management.
For the analysis of decoy, hidden danger can be found in advance, remove in time, ensure the unimpeded of air route, the pressure that reduces air traffic controller is current, Civil Aviation ATM field is without applicable decoy analytical approach, process the flow process of decoy, main by likely disturbing the unit of safety of civil aviation, manually report air traffic control system controlling officer, the processing that controlling officer is correlated with, a kind of passive mode, for not reporting, or fail to report, the situation of radar wrong report itself, controlling officer is very passive.Therefore this kind of mode can not screen and analyze decoy very accurately.
Summary of the invention
For the deficiencies in the prior art, the invention provides air traffic control radar decoy automatic identifying method, can find in time and more accurately the decoy in radar detection, and can add up the decoy probability of the radar wrong report of some region appearance, to assist to optimize aircraft air route.
To achieve these goals, a kind of air traffic control radar decoy automatic identifying method of the present invention, comprises the steps:
(1), obtain original radar data and the flight planning data of the unknown object to monitoring;
(2), flight path information is resolved and formed to the original radar data of unknown object, comprise navigation area, headway, navigation height, navigation secondary code, and compare with the aircraft flight path information of normal range, if having at least an abnormal data to carry out alarm;
(3), flight planning data are carried out to 4D track Calculation, and compare with the flight path of unknown object, carry out alarm if 4D flight path and Place object flight path do not meet;
(4), carry out radar situation and show the line item of going forward side by side being judged as normal flight path information, for the actual coverage condition of Analysis of Radar;
(5), abnormal data is carried out to record, for by region, add up by type alarm alarm, for analyzing a certain region decoy probability of occurrence,, there is type in occurrence probability.
Compared with prior art, in the present invention by using the unknown object flight path information detecting and normal range flight path information comparing as for the first time identification, compare as identification for the second time with the 4D flight path of flight planning data, can find in time and more accurately decoy.And abnormal data is carried out to record, for by region, add up by type alarm alarm, for analyzing a certain region decoy probability of occurrence,, there is type in occurrence probability, can assist to optimize aircraft air route.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of air traffic control radar decoy automatic identifying method of the present invention;
Embodiment
Object of the present invention is exactly in order to find timely decoy, before decoy impacts, notifies in time controller, and controller starts related mechanism, contacts in time technical guarantee, and safe operation department, disposes timely.Reduce the delay of flight, reduce fuel consume.
Refer to shown in Fig. 1, the present invention discloses a kind of air traffic control radar decoy automatic identifying method, comprises the steps:
(1), obtain original radar data and the flight planning data of the unknown object to monitoring; Also before the original radar data of unknown object can being resolved to flight path information in this step, advanced row format decomposes, and directly thinks abnormal data and carries out alarm if form decomposes mistake.
(2), flight path information is resolved and formed to the original radar data of unknown object, comprise navigation area, headway, navigation height, navigation secondary code, and compare with the aircraft flight path information of normal range, if having at least an abnormal data to carry out alarm.
(3) (4D flight path is the data acquisition of describing the relevant navigation key element of a series of signature of flight path points of aircraft flight, flight planning data to be carried out to 4D flight path, the position that comprises signature of flight path point, highly, the information such as speed, time and course) calculate, and compare with the flight path of unknown object, if not meeting, 4D flight path and Place object flight path carry out alarm.
(4), to stored record after being judged as normal flight path information and carrying out the demonstration of radar situation and form coverage diagram, for the actual coverage condition of Analysis of Radar.
(5), abnormal data is carried out to record, for by region, add up by type alarm alarm, for analyzing a certain region decoy probability of occurrence,, there is type in occurrence probability.
By above-mentioned automatic identifying method, for the decoy of radar wrong report itself, system can compare with other radar timely, by identification, judgement, reaches a conclusion in time, notify controlling officer and technical guarantee personnel, can improve the utilization factor in spatial domain, in time discovering device fault.
The present invention can long-time statistical the decoy probability of the radar wrong report that occurs of some region, offer technical guarantee personnel, technical guarantee personnel receive after data, to landform, interference such as radio are analyzed, and can optimize air route, for foundation is determined in newly radar addressing.And according to the data of the statistics gathering, analyze the Useful Information to civil aviaton.
Claims (3)
1. an air traffic control radar decoy automatic identifying method, is characterized in that, comprises the steps:
(1), obtain original radar data and the flight planning data of the unknown object to monitoring;
(2), flight path information is resolved and formed to the original radar data of unknown object, comprise navigation area, headway, navigation height, navigation secondary code, and compare with the aircraft flight path information of normal range, if having at least an abnormal data to carry out alarm;
(3), flight planning data are carried out to 4D track Calculation, and compare with the flight path of unknown object, carry out alarm if 4D flight path and Place object flight path do not meet;
(4), carry out radar situation and show the line item of going forward side by side being judged as normal flight path information, for the actual coverage condition of Analysis of Radar;
(5), abnormal data is carried out to record, for by region, add up by type alarm alarm, for analyzing a certain region decoy probability of occurrence,, there is type in occurrence probability.
2. air traffic control radar decoy automatic identifying method according to claim 1, is characterized in that: after the normal data in step (4) is formed to coverage diagram, store.
3. air traffic control radar decoy automatic identifying method according to claim 1, it is characterized in that: before the original radar data of unknown object being resolved in step (1) to flight path information, advanced row format decomposes, directly think abnormal data and carry out alarm if form decomposes mistake.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410060850.0A CN103824477B (en) | 2014-02-21 | 2014-02-21 | Air traffic control radar decoy automatic identifying method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410060850.0A CN103824477B (en) | 2014-02-21 | 2014-02-21 | Air traffic control radar decoy automatic identifying method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103824477A true CN103824477A (en) | 2014-05-28 |
CN103824477B CN103824477B (en) | 2016-02-17 |
Family
ID=50759510
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410060850.0A Active CN103824477B (en) | 2014-02-21 | 2014-02-21 | Air traffic control radar decoy automatic identifying method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103824477B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106297419A (en) * | 2015-01-07 | 2017-01-04 | 江苏理工学院 | 4D-based aircraft trajectory prediction method |
CN106355958A (en) * | 2016-08-30 | 2017-01-25 | 北京招通致晟科技有限公司 | Identification method and device for aircraft in multi-radar system |
CN112598310A (en) * | 2020-12-29 | 2021-04-02 | 北京筹策科技有限公司 | Real-time dynamic distribution method and device for flight space and computer equipment |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101202579A (en) * | 2007-11-22 | 2008-06-18 | 民航数据通信有限责任公司 | Method, device and system for spreading general-purpose accessing transceiver service area |
US20090164122A1 (en) * | 2007-12-20 | 2009-06-25 | Airbus France | Method and device for preventing collisions on the ground for aircraft |
US20110172914A1 (en) * | 2010-01-12 | 2011-07-14 | Thales | Method and Device for Checking the Conformity of an Aircraft Trajectory |
CN102184646A (en) * | 2011-05-11 | 2011-09-14 | 四川九洲电器集团有限责任公司 | Conflict detection method for aerial target |
CN102323567A (en) * | 2011-06-13 | 2012-01-18 | 四川大学 | A kind of method that detects the ADS-B false target |
CN102509475A (en) * | 2011-10-26 | 2012-06-20 | 南京航空航天大学 | Air traffic control system and method for four-dimensional (4D)-trajectory-based operation |
-
2014
- 2014-02-21 CN CN201410060850.0A patent/CN103824477B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101202579A (en) * | 2007-11-22 | 2008-06-18 | 民航数据通信有限责任公司 | Method, device and system for spreading general-purpose accessing transceiver service area |
US20090164122A1 (en) * | 2007-12-20 | 2009-06-25 | Airbus France | Method and device for preventing collisions on the ground for aircraft |
US20110172914A1 (en) * | 2010-01-12 | 2011-07-14 | Thales | Method and Device for Checking the Conformity of an Aircraft Trajectory |
CN102184646A (en) * | 2011-05-11 | 2011-09-14 | 四川九洲电器集团有限责任公司 | Conflict detection method for aerial target |
CN102323567A (en) * | 2011-06-13 | 2012-01-18 | 四川大学 | A kind of method that detects the ADS-B false target |
CN102509475A (en) * | 2011-10-26 | 2012-06-20 | 南京航空航天大学 | Air traffic control system and method for four-dimensional (4D)-trajectory-based operation |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106297419A (en) * | 2015-01-07 | 2017-01-04 | 江苏理工学院 | 4D-based aircraft trajectory prediction method |
CN106297419B (en) * | 2015-01-07 | 2019-01-25 | 江苏理工学院 | 4D-based aircraft trajectory prediction method |
CN106355958A (en) * | 2016-08-30 | 2017-01-25 | 北京招通致晟科技有限公司 | Identification method and device for aircraft in multi-radar system |
CN112598310A (en) * | 2020-12-29 | 2021-04-02 | 北京筹策科技有限公司 | Real-time dynamic distribution method and device for flight space and computer equipment |
Also Published As
Publication number | Publication date |
---|---|
CN103824477B (en) | 2016-02-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Purton et al. | Identification of ADS-B system vulnerabilities and threats | |
JP6271421B2 (en) | Predict the possibility of severe weather | |
CN103310661B (en) | Airport surface road network model and airport surface collision detection critical alarm algorithm | |
CN105575021A (en) | Airport runway safety early warning system and airport runway safety early warning method | |
US20130265187A1 (en) | System and method for ensuring ads-b integrity of departing aircraft | |
CN103824477B (en) | Air traffic control radar decoy automatic identifying method | |
CN117277592B (en) | Protection switching method for monitoring high-voltage circuit signals | |
EA201401091A1 (en) | METHOD OF MANAGEMENT MONITORING SYSTEM AND SYSTEM FOR ITS IMPLEMENTATION | |
US20150145696A1 (en) | Sns based incident management | |
CN205451355U (en) | Airport runway safety precaution system | |
CN101572015A (en) | Evaluation and test method for short term collision alert in air traffic control automation system | |
KR101444250B1 (en) | System for monitoring access to personal information and method therefor | |
CN114550504A (en) | GPS interference area identification and investigation method and device based on ADS-B data | |
CN106529514B (en) | Unmanned aerial vehicle interference method, system and device based on infrared thermal imaging | |
CN106251589A (en) | A kind of device failure alert system | |
CN105978642A (en) | Wireless monitoring station analysis addressing method and system based on interference big data | |
Alam et al. | Computational red teaming to investigate failure patterns in medium term conflict detection | |
KR101415142B1 (en) | Vehicle auto inspection system | |
CN113990111B (en) | Multi-data-source-based control operation situation double-disk analysis method and system | |
Buerkle et al. | Modelling road hazards and the effect on AV safety of hazardous failures | |
Vidović et al. | Aircraft noise monitoring in function of flight safety and aircraft model determination | |
CN104333489B (en) | Detection method, apparatus and system to blank pipe supervision equipment | |
Malaek et al. | Intelligent flight-data-recorders; a step toward a new generation of learning aircraft | |
CN110032666B (en) | Specific airplane target selection method based on historical ADS-B | |
Matthews | Automatic Anomaly Detection with Machine Learning |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |