CN100541555C - A kind of data assessment system of ADS-B surveillance technology - Google Patents
A kind of data assessment system of ADS-B surveillance technology Download PDFInfo
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Abstract
A kind of data assessment system of ADS-B surveillance technology, ADS-B aircraft ration statistics module is added up the aircraft ratio of the current ADS-B of being mounted with airborne equipment, judges ADS-B aircraft quantity; Monitor the accuracy evaluation module, the precision of ADS-B position message data assessed that the variance size of ADS-B and radar site data and normal place draws supervision precision conclusion in more same period time interval; The reliability assessment module is assessed the reliability of ADS-B monitoring data, calculates the leak source rate of interior radar of the same period time interval and ADS-B monitoring data respectively, compares and obtain the reliability conclusion of ADS-B monitoring data; The data integrity evaluation module is assessed the integrity of ADS-B monitoring data; Pseudo-destination probability evaluation module is used for the pseudo-destination probability of ADS-B position message data is assessed, and then draws the pseudo-destination probability conclusion of ADS-B monitoring data.The present invention implements on engineering easily, has realized the data assessment of ADS-B surveillance technology effectively.
Description
Technical field
The present invention relates to a kind of data assessment system of surveillance technology, particularly a kind of data assessment method of ADS-B surveillance technology belongs to the air traffic control field.
Background technology
The basic goal of air traffic control is to make aircraft safety on the course line, effective and plannedly fly in the spatial domain, and the controller need dynamically carry out real time monitoring to the flight of aircraft in the control zone.
Traditional radar surveillance means adopt interrogator-responder system to target detection.In the long run, radar system self has a lot of limitation, has limited the raising of monitor performance.The rectilinear propagation of radar beam has formed a large amount of radar shadow, can't cover areas such as ocean and desert; The radar swing circle has limited the raising of data updating rate, thereby has limited the raising that monitors precision; The situation data such as plan air route, speed of aircraft be can't obtain, the raising of tracking accuracy and the ability that short-term collision detects alarm STCA limited.Therefore, need the new supervision means of exploitation.
Automatic dependent surveillance broadcast ADS-B utilizes aircraft to broadcast the precise location information that is generated by airborne satellite-based navigation and positioning system automatically, uphole equipment and other aircrafts receive this information by aeronautical data chain, and satellite system, aircraft and ground based system are realized the integrative coordinated supervision in the empty world by the high-speed data chain.ADS-B has not only overcome some problems of traditional radar surveillance means, and has advantages such as precision height, turnover rate height, applied range, uphole equipment construction and maintenance cost are low.
As an important surveillance technology in the following new navigation system, at radar-covered area, ADS-B will be as effectively the replenishing of radar surveillance means, to its calibration or mend blind; At non-radar-covered area, ADS-B will become a kind of means that independently monitor, a kind of new supervision means are provided.Yet, the important prerequisite that reaches above-mentioned target is exactly the validity and the reliability of ADS-B monitoring data, therefore need a kind of appraisal procedure of ADS-B monitoring data badly, verify the key parameter that validity and reliability to the ADS-B monitoring data play a decisive role.
Owing in the past mainly adopt radar to monitor means as aviation, so the comparison other of ADS-B monitoring data is the radar surveillance data, and getting the data that real-time dynamic positioning RTK receiver obtains is the benchmark monitoring data.The ICAO of International Civil Aviation Organization is providing similar service to call the service of class radar to radar, there have been many countries and regions to begin at present in the world to adopting the ADS-B technology to provide the service of class radar to test and assess, wherein the U.S. and Australia have finished test and operation evaluation work, relevant assessment report is also open, but on the one hand, these assessments are all carried out at national actual conditions, and are little to the ADS-B assessment reference value of China; On the other hand, final assessment result has all just been announced in these assessments, and concrete appraisal procedure is not open.The ADS-B assessment of CAAC need be carried out ADS-B applied research evaluation work as early as possible in conjunction with national actual conditions.And the key of ADS-B applied research evaluation work needs the data assessment method of the effective ADS-B surveillance technology of a cover exactly, abroad externally blocks in this field at present, and domestic then still do not have research in this field.
Summary of the invention
Technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of data assessment system of ADS-B surveillance technology is provided, this system implements on engineering easily, has realized the data assessment of ADS-B surveillance technology effectively.
Technical solution of the present invention: a kind of data assessment system of ADS-B surveillance technology, its characteristics are to comprise: ADS-B aircraft ration statistics module, supervision accuracy evaluation module, reliability assessment module, data integrity evaluation module and pseudo-destination probability evaluation module, wherein:
(1) ADS-B aircraft ration statistics module is added up the aircraft ratio of the current ADS-B of being mounted with airborne equipment, receives from the broadcasting ADS-B data of aircraft by land station and judges ADS-B aircraft quantity;
Monitor the accuracy evaluation module, precision to ADS-B position message data is assessed, the position data that provides with RTK is the normal place data, and the variance size of ADS-B and radar site data and normal place data in more same period time interval draws supervision precision conclusion;
The reliability assessment module is used for the reliability of ADS-B monitoring data is assessed, and calculates the leak source rate of interior radar of the same period time interval and ADS-B monitoring data respectively, compares and obtain the reliability conclusion of ADS-B monitoring data;
The data integrity evaluation module, be used for the integrity of ADS-B monitoring data is assessed, calculate interior at interval integrity mass parameter NUC 〉=message number of 5 that from the ADS-B message data, extracts of a period of time and account for the ratio of total ADS-B message number, be serviceability rate, obtain the integrity conclusion of ADS-B monitoring data;
Pseudo-destination probability evaluation module, be used for the pseudo-destination probability of ADS-B position message data is assessed, the position data that provides with RTK is the normal place data, at first the difference degree by ADS-B and radar site data and normal place data judges whether it is pseudo-target, calculate the pseudo-destination probability of interior ADS-B of the more same period time interval and radar site data then and compare its magnitude relationship, draw the pseudo-destination probability conclusion of ADS-B monitoring data.
The present invention's advantage compared with prior art is: monitor means as a kind of new aviation, abundant monitor message is provided in the ADS-B message data, state of flight information is not only arranged, the mass parameter that also has status information, the present invention assesses the ADS-B monitoring data from 5 aspects such as ADS-B aircraft ratio, supervision precision, reliability, data integrity and pseudo-destination probabilities, wherein also the ADS-B monitoring data of different weather environment, terrain environment and height layer situation is assessed respectively.This method is implemented on engineering easily, can realize the data assessment of ADS-B surveillance technology effectively.
Description of drawings
Fig. 1 is a composition frame chart of the present invention;
Fig. 2 is the realization flow figure of the ADS-B aircraft ration statistics module among the present invention;
Fig. 3 is the realization flow figure of the supervision accuracy evaluation module among the present invention;
Fig. 4 is the realization flow figure of the reliability assessment module among the present invention;
Fig. 5 is the realization flow figure of the data integrity evaluation module among the present invention;
Fig. 6 is the realization flow figure of the pseudo-destination probability evaluation module among the present invention.
Embodiment
As shown in Figure 1, the data assessment overall procedure of ADS-B surveillance technology of the present invention, comprise 5 modules: ADS-B aircraft ration statistics module, supervision accuracy evaluation module, reliability assessment module, data integrity evaluation module and pseudo-destination probability evaluation module, its treatment scheme is as follows:
(1) ADS-B aircraft ration statistics module
This module is added up the aircraft ratio of the current ADS-B of being mounted with airborne equipment, receives from the broadcasting ADS-B data of aircraft by land station and judges ADS-B aircraft quantity.Specific implementation is as shown in Figure 2: at first extract the ADS-B data that whole assessment mission phase collects from database server, then based on the broadcasting ADS-B data that receive by land station from aircraft, it is the ICAO address of aircraft, calculate the real aircraft sortie number that sends the ADS-B data, calculate the ratio that the aircraft that sends the ADS-B data accounts for the aircraft total flow at last, computing formula is the aircraft/aircraft total flow of ADS-B aircraft ratio=transmission ADS-B data.
(2) monitor the accuracy evaluation module
This module is assessed the precision of ADS-B position message data, and the position data that provides with RTK is the normal place data, and the variance size of ADS-B and radar site data and normal place in more same period time interval draws supervision precision conclusion.Specific implementation is as shown in Figure 3:
At first from database server extract respectively a period of time at interval in from the ADS-B positional information and the positional information that obtains by radar surveillance of the identical discrete time point of same airplane, and extract the normal place information of the interior at interval identical discrete time point from same airplane of a period of time from database server; Distance according to the target range radar station is divided into 3 scopes then, is divided into different situations according to weather, landform and the height layer of target position; The last positional information of under weather, landform and the height layer situation of 3 kinds of distances of target range radar station, position, calculating the ADS-B positional information respectively and obtaining by radar surveillance and the variance of normal place deviation, only the track points that ADS-B and radar are detected is simultaneously asked variance, and compare its magnitude relationship, and then draw the conclusion of ADS-B supervision precision under the various situations.
(3) reliability assessment module
This module is assessed the reliability of ADS-B monitoring data, reliability is to weigh by the calculating of leak source rate, the method of using is to calculate the leak source rate of interior radar of the same period time interval and ADS-B monitoring data respectively, compares and obtain the reliability conclusion of ADS-B monitoring data.The specific implementation process is as shown in Figure 4:
Be initialized as 0 respectively at first for the leak source number of radar and ADS-B, then respectively a period of time at interval in from database server continuously extraction from the radar data and the ADS-B data of same airplane, and be divided into 3 scopes according to the distance of target range radar station, weather, landform and height layer according to the target position are divided into different situations, are judged respectively; To radar data, if calling time, continuous 3 positive north do not receive track points, think that then leak source appears in radar detection, and radar leak source number increased to m, otherwise continue to extract radar data, finish up to the time interval afterwards, then under 3 kinds of distances of target range radar station, under different weather, landform and the height layer of target position, calculate radar leak source rate respectively, computing formula is radar leak source rate=leak source number/track points sum; Similarly, to the ADS-B data, if do not receive track points in continuous 3 system cycles, think that then leak source appears in the ADS-B detection, and ADS-B leak source number is increased to 3, otherwise continue to extract the ADS-B data, finish up to the time interval afterwards, then under 3 kinds of distances of target range radar station, under different weather, landform and the height layer of target position, calculate radar leak source rate respectively, computing formula is the same; At last, under different weather, landform and the height layer situation of target range radar station 3 all distances, target position, judge the magnitude relationship of radar and ADS-B leak source rate respectively, and obtain the ADS-B reliability conclusion under the various situations.
(4) data integrity evaluation module
This module is assessed the integrity of ADS-B monitoring data, integrity is to weigh by the integrity mass parameter NUC in the ADS-B message, stipulate according to ICAO, the ADS-B message data of NUC 〉=5 meets the data integrity requirement of class radar service, based on this regulation, the method of using is the ratio that the message number that calculates NUC 〉=5 that a period of time extracts at interval from the ADS-B message data accounts for total ADS-B message number, i.e. serviceability rate, and then obtain the integrity conclusion of ADS-B monitoring data.The specific implementation process is as shown in Figure 5:
At first extract all ADS-B positional informations that receive in a period of time interval respectively from database server; Extract the NUC value then respectively, if NUC＜5 then are judged as and do not meet the requirement of class radar service data integrity; Otherwise, then be judged as and meet the requirement of class radar service data integrity; Adding up the flight path that meets the requirement of class radar service data integrity at last counts and total some mark number, and according to the flight path that formula serviceability rate=meet class radar service data integrity the requires mark number of counting/always put, calculate the serviceability rate of ADS-B data, draw the conclusion of ADS-B data integrity.
(5) pseudo-destination probability evaluation module
This module is assessed the pseudo-destination probability of ADS-B position message data, the method of using is to be the normal place data with the position data that RTK provides, at first the difference degree by ADS-B and radar site data and normal place data judges whether it is pseudo-target, calculate the pseudo-destination probability of interior ADS-B of the more same period time interval and radar site data then and compare its magnitude relationship, and then draw the pseudo-destination probability conclusion of ADS-B monitoring data.Its detailed process and contained content be as shown in the figure:
At first from database server extract respectively a period of time at interval in from the ADS-B positional information and the positional information that obtains by radar surveillance of the identical discrete time point of same airplane, and extract the normal place information of the interior at interval identical discrete time point from same airplane of a period of time from database server; Distance according to the target range radar station is divided into 3 scopes then, is divided into different situations according to weather, landform and the height layer of target position; Then judge ADS-B positional information and radar site information and normal place information distance respectively whether less than n＜1000 foot at each time point, if satisfied then think correct monitor message, otherwise would think pseudo-target; The pseudo-number of targets of adding up ADS-B data and radar data under different weather, landform and the height layer situation of 3 kinds of distances of target range radar station, target position at last respectively and total some mark number also calculate according to the pseudo-number of targets of formula/always the put pseudo-destination probability that the mark number calculates ADS-B and radar data, and compare its magnitude relationship, and then draw the conclusion of the pseudo-destination probability of ADS-B under the various situations.
Claims (6)
1, a kind of data assessment system of ADS-B surveillance technology is characterized in that comprising: ADS-B aircraft ration statistics module, supervision accuracy evaluation module, reliability assessment module, data integrity evaluation module and pseudo-destination probability evaluation module, wherein:
ADS-B aircraft ration statistics module is added up the aircraft ratio of the current ADS-B of being mounted with airborne equipment, receives from the broadcasting ADS-B data of aircraft by land station and judges ADS-B aircraft quantity;
Monitor the accuracy evaluation module, precision to ADS-B position message data is assessed, the position data that provides with real-time dynamic positioning RTK is the normal place data, and the variance size of ADS-B and radar site data and normal place data in more same period time interval draws supervision precision conclusion;
The reliability assessment module is used for the reliability of ADS-B monitoring data is assessed, and calculates the leak source rate of interior radar of the same period time interval and ADS-B monitoring data respectively, compares and obtain the reliability conclusion of ADS-B monitoring data;
The data integrity evaluation module, be used for the integrity of ADS-B monitoring data is assessed, calculate interior at interval integrity mass parameter NUC 〉=message number of 5 that from the ADS-B message data, extracts of a period of time and account for the ratio of total ADS-B message number, be serviceability rate, obtain the integrity conclusion of ADS-B monitoring data;
Pseudo-destination probability evaluation module, be used for the pseudo-destination probability of ADS-B position message data is assessed, the position data that provides with RTK is the normal place data, at first the difference degree by ADS-B and radar site data and normal place data judges whether it is pseudo-target, calculate the pseudo-destination probability of interior ADS-B of the more same period time interval and radar site data then and compare its magnitude relationship, draw the pseudo-destination probability conclusion of ADS-B monitoring data.
2, the data assessment system of ADS-B surveillance technology according to claim 1, it is characterized in that: described ADS-B aircraft ration statistics module implementation procedure is: at first extract the ADS-B data that whole assessment mission phase collects from database server, send the real aircraft sortie number of ADS-B data then based on the ICAO of the International Civil Aviation Organization address computation of aircraft, calculate the ratio that the aircraft that sends the ADS-B data accounts for the aircraft total flow at last.
3, the data assessment system of ADS-B surveillance technology according to claim 1 is characterized in that: described supervision accuracy evaluation module implementation procedure is:
(1) at first from database server extract respectively a period of time at interval in from the ADS-B positional information and the positional information that obtains by radar surveillance of the identical discrete time point of same airplane, and extract the normal place information of the interior at interval identical discrete time point from same airplane of a period of time from database server;
(2) then the distance of target range radar station is divided into m, m 〉=3 scope, according to target range radar station m kind distance, the positional information of under weather, landform and the height layer situation of position, calculating the ADS-B positional information respectively and obtaining by radar surveillance and the variance of normal place deviation, and compare its magnitude relationship, draw the conclusion of ADS-B supervision precision under the various situations.
4, the data assessment system of ADS-B surveillance technology according to claim 1 is characterized in that: described reliability assessment module implementation procedure is:
(1) be initialized as 0 respectively at first for the leak source number of radar and ADS-B;
(2) then respectively a period of time at interval in from database server continuously extraction from the radar data and the ADS-B data of same airplane, and be divided into m scope according to the distance of target range radar station, weather, landform and height layer according to the target position are divided into different situations, are judged respectively;
(3) to radar data, if call time and do not receive track points in m positive north continuously, think that then leak source appears in radar detection, and radar leak source number increased to m, otherwise continue to extract radar data, finish up to the time interval afterwards, then under the target range radar station m kind distance, under different weather, landform and the height layer of target position, calculate radar leak source rate respectively, computing formula is radar leak source rate=leak source number/track points sum;
(4) to the ADS-B data, if do not receive track points in m system cycle continuously, think that then leak source appears in the ADS-B detection, and ADS-B leak source number increased to m, otherwise continue to extract the ADS-B data, finish up to the time interval afterwards, then under the target range radar station m kind distance, under different weather, landform and the height layer of target position, calculate radar leak source rate respectively, computing formula is radar leak source rate=leak source number/track points sum;
(5) last, under different weather, landform and the height layer situation of target range radar station m kind distance, target position, judge the magnitude relationship of radar and ADS-B leak source rate respectively, and obtain the ADS-B reliability conclusion under the various situations.
5, the data assessment system of ADS-B surveillance technology according to claim 1 is characterized in that: described data integrity evaluation module implementation procedure is:
(1) at first extracts all ADS-B positional informations that receive in a period of time interval respectively from database server;
(2) extract integrity mass parameter NUC value then respectively, if NUC＜5 then are judged as and do not meet the requirement of class radar service data integrity; Otherwise, then be judged as and meet the requirement of class radar service data integrity;
(3) adding up the flight path that meets the requirement of class radar service data integrity at last counts and total some mark number, and according to the flight path that formula serviceability rate=meet class radar service data integrity the requires mark number of counting/always put, calculate the serviceability rate of ADS-B data, draw the conclusion of ADS-B data integrity.
6, the data assessment system of ADS-B surveillance technology according to claim 1 is characterized in that: described pseudo-destination probability evaluation module implementation procedure is:
(1) at first from database server extract respectively a period of time at interval in from the ADS-B positional information and the positional information that obtains by radar surveillance of the identical discrete time point of same airplane, and extract the normal place information of the interior at interval identical discrete time point from same airplane of a period of time from database server;
(2) then the distance of target range radar station is divided into m scope, situation according to weather, landform and the height layer of target position, judge respectively that at each time point whether ADS-B positional information and radar site information and normal place information distance are less than n, n＜1000 foot, if satisfy then think correct monitor message, otherwise think pseudo-target;
(3) the pseudo-number of targets of adding up ADS-B data and radar data under different weather, landform and the height layer situation of target range radar station m kind distance, target position at last respectively and total some mark number and calculate according to the pseudo-number of targets of formula/always the put pseudo-destination probability that the mark number calculates ADS-B and radar data, and compare its magnitude relationship, draw the conclusion of the pseudo-destination probability of ADS-B under the various situations.
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| US10126100B2 (en) | 2013-10-08 | 2018-11-13 | Israel Aerospace Industries Ltd. | Missile system including ADS-B receiver |
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| CN102323567B (en) * | 2011-06-13 | 2012-11-07 | 四川大学 | Method for detecting automatic dependent surveillance-broadcast (ADS-B) false target |
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Address after: 100083 Haidian District, Xueyuan Road, No. 37, Co-patentee after: Aviation Data Communication Corporation Patentee after: Beihang University Address before: 100083, Beijing, North Fourth Ring Road, No. 238, Bai Yan building, 16 floor Co-patentee before: Beihang University Patentee before: Aviation Data Communication Corporation |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090916 Termination date: 20190815 |