JP2011021978A - Multilateration device and airport surface surveillance system using the same - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To solve the problem that there are many solutions for a detection position due to the number of combinations of the receivers when the number of the receivers is large, particularly the detection position is deviated when one or more solutions for the detection position are largely deviated by a multipath or the like because a multilateration (MLAT) device that is a target detection device in an airport surface surveillance system performs a receiving operation by a plurality of receivers 2 and specifies the position of a target (airplane) from the time difference. <P>SOLUTION: Because centerline position information of a route through which an airplane 5 is scheduled to pass is utilized, it is stored in a centerline DB 14. When specifying a detection position from a plurality of detection position solutions, the position coordinate is specified by performing weighting in accordance with the distance from the reference centerline to each detection position solution. As a result, the variation of the detection position is suppressed, and the detection position accuracy is improved. Further, because the detection accuracy is improved by the MLAT device 1 at an early stage before the integration with the position coordinates detected by other target detection devices, the airport surface surveillance system with reduced burden on an air traffic controller is constructed. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an airport surface monitoring system that uses a target detection device such as a multi-lateration device to display and monitor a target such as an aircraft on the airport surface on a display device, and a multi-lateration device having a large number of receivers. The present invention relates to a means for accurately detecting the position coordinates of the target.

  In a multilateration device, which is a target detection device, SSR (Secondary Survey Radar) response signals and squitter signals transmitted from an aircraft transponder are received by a large number of receivers installed at three or more locations. Next, the difference in reception time between each receiver is converted into the difference in distance between each receiver and the aircraft, and the position coordinates of the aircraft are determined by obtaining the intersection of hyperbolas with the condition that this distance difference is constant. The result is calculated and sent to the display device of the airport surface monitoring system monitored by the controller. The multi-lateration device can prevent deterioration in monitoring performance due to bad weather or the like and misidentification of a monitoring target due to multipath. Therefore, it is suitable for monitoring an area where radar monitoring does not reach the airport.

JP 2007-10367 PR (page 8-11, Fig. 1)

  However, in the conventional multi-lateration apparatus, the position of the aircraft is determined from the time difference received by three or more receivers as described above. Therefore, when there are a large number of receivers, depending on the number of receiver combinations. Many detection position solutions are generated. For this reason, when the position of one or a plurality of solutions largely deviates due to multipath or the like, the detection position tends to vary when calculating the center of gravity position from the positions of the plurality of solutions. In addition, since the target aircraft is designed on the assumption that it passes through the center line (center line) of routes such as taxiways and runways, if the detection position varies, the target display of the display device will be displayed in the center of the route. Since it would be off the line, it would be uncomfortable for the controller who monitors the aircraft, which was a problem when controlling a large number of aircraft.

  For example, there is Patent Document 1 as a conventional example similar to this. In this example, in an airport surface monitoring system using a plurality of target detection devices such as a multi-lateration device and an airport surface detection device (hereinafter referred to as “ASDE device”), the position detection accuracy of each target detection device is changed. The position could not be specified accurately. As a countermeasure, in the track integration device, correlation processing is performed to determine whether each track (position, moving speed, moving direction) information detected by the tracking processing unit for each target detection device is information of the same target. The wake information identified as the same target and the integration target is output. Weighting is performed based on the vertical distance from the reference center line of the airport surface accumulated in advance to the position coordinates of the wake information, and position coordinates obtained by integrating the wake information are determined for each target detection device. As a result, the detection position accuracy integrated as an airport surface monitoring system is improved.

  The present invention solves the above-mentioned problem, and in a multilateration device that is a target detection device in an airport surface monitoring system, there are a large number of detection position candidates that are generated by the number of combinations of multiple receivers, and the detection positions vary. An object of the present invention is to provide a novel multi-lateration device and an airport surface monitoring system using the same.

  The multilateration apparatus according to the present invention is designed so that the target aircraft passes through the center of a route such as a runway and a taxiway, and is designed so that there is no overtaking or passing each other. In order to use, the center line information of the route is stored in advance in a center line database (hereinafter referred to as “center line DB”). In the target processor, the vertical distance to the center line is calculated from a large number of detection position solutions generated by the number of combinations of receivers, and the target position is calculated using the weights for the respective detection position solutions calculated according to the vertical distance. Specify coordinates.

  According to the multilateration device of the present invention (hereinafter also referred to as “MLAT device” for short), detection is performed by weighting each of a plurality of detection position solutions using information on a centerline of a route through which an aircraft passes. Variations in position are reduced, and position coordinates close to the actual target position can be displayed, improving the accuracy of position coordinates. In addition, detection accuracy can be improved in the MLAT apparatus at an early stage before integration with the position coordinates detected by other target detection apparatuses. As a result, it is possible to reduce the burden on the air traffic controller and to construct a safer airport surface monitoring system.

It is a block block diagram which shows the airport surface monitoring system by Embodiment 1 of this invention. It is arrangement | positioning explanatory drawing explaining the arrangement | positioning relationship of the multilateration apparatus in an airport surface. It is a block diagram which shows the process of the target processor shown in FIG. It is a conceptual diagram which calculates the distance with a detection position solution from the center line A and the center line B in an airport surface. It is an integrated conceptual diagram for demonstrating weight calculation of a detected position solution by making the center line A in an airport surface into a reference | standard center line. It is a conceptual diagram explaining the gravity center position in the case of implementing Embodiment 1 of this invention. It is a conceptual diagram explaining the gravity center position when not implementing Embodiment 1 of this invention. It is a block diagram which shows the process of the target processor by Embodiment 2 of this invention. It is a block block diagram which shows the airport surface monitoring system by Embodiment 3 of this invention. It is a block diagram which shows the process of the target processor shown in FIG. It is a conceptual diagram which calculates the distance with a detection position solution from each ASDE track position by Embodiment 3 of this invention. It is a block block diagram which shows the airport surface monitoring system by Embodiment 4 of this invention. It is a block diagram which shows the process of the target processor shown in FIG. It is a block block diagram which shows the airport surface monitoring system by Embodiment 5 of this invention. It is a block diagram which shows the process of the target processor shown in FIG. It is a block block diagram which shows the airport surface monitoring system by Embodiment 6 of this invention. It is a block diagram which shows the process of the target processor shown in FIG.

Embodiment 1 FIG.
Embodiment 1 of the present invention will be described with reference to FIGS. FIG. 1 is a block diagram showing the airport surface monitoring system according to the first embodiment, FIG. 2 is an arrangement explanatory view explaining the arrangement relationship of the MLAT device 1 on the airport surface, and FIG. 3 is a process of the target processor 7 shown in FIG. FIG.
In FIG. 1, 1 is an MLAT device that receives signals from an aircraft by a plurality of receivers and identifies the position of the aircraft from the difference in reception time. 2 is a time stamp that receives transponder response signals and squitter signals transmitted by the aircraft. 3 is a transmitter / receiver in which an interrogation function for an aircraft transponder is added to the receiver 2, 4 is a reference transmitter that broadcasts a time synchronization signal for synchronizing each receiver 2 and the transmitter / receiver 3, 5 is an aircraft equipped with a transponder to be detected; 6 is a position detector that receives data including time stamp information from each receiver 2 and each transceiver 3 and calculates a position from the received time difference; This is a target processor that calculates an optimum position from a plurality of detected position solutions calculated by the position detector 6.

8 is a display device of an airport surface monitoring system that displays the position information calculated by the target processor 7 on a control monitor or the like, 9 is a controller that uses the display device 8 to control targets such as an aircraft 5 or a vehicle, An interrogation signal for a target on which a transponder such as an aircraft 5 is mounted, 11 is a broadcast signal transmitted by the reference transmitter 4 and synchronized with each receiver 2 and transceiver 3, and 12 is a response signal of the transponder.
FIG. 2 is a layout explanatory diagram for explaining the layout relationship of the MLAT device 1 on the airport surface. In the figure, 20 is a runway, 21 is a taxiway, and 22 is an airport terminal.

In FIG. 2, 13 is a correlation gate determination processing unit that determines whether or not there is detected position information in the correlation gate near the predicted position calculated from the predicted track information of the same target based on the past track information. Is a centerline DB that accumulates centerline information of routes that the aircraft 5 passes, such as runways and taxiways.
Here, the center line is the center coordinates of the route that the aircraft should pass in the map data that is the map information on the airport surface, and the center that is actually displayed on the airport surface by painting to prevent misidentification. This is the coordinate data of the line.

15 is a vertical distance calculation processing unit for calculating a vertical distance from the detected position solution in the correlation gate using the center line position information, and 16 is a sum of a plurality of detected position solutions and the distance to the same center line. A centerline distance determination processing unit that calculates a combination and calculates a reference centerline, 17 is a weighting determination processing unit that weights each MLAT detection position solution according to the vertical distance to the determined centerline, and 18 is based on the determined weighting A centroid position calculation processing unit 19 that determines the centroid position, and 19 is a smooth position calculation processing unit that calculates a smoothed position from the calculated centroid position and the predicted position.
25 is a detected position solution A obtained from the receiver (A, B, C), 26 is a detected position solution B obtained from the receiver (B, C, D), and 27 is a receiver (A, B, D). The detected position solutions C and 28 obtained from () are the detected position solutions D obtained from the receivers (A, C and D).

  Next, the operation will be described. In FIG. 1, the MLAT device 1 transmits a question signal to each aircraft 5 from a secondary monitoring radar or a separately provided transmitter 3, and installs a response signal 12 transmitted from the response device of the aircraft 5 on the airport surface. It is received by a plurality of receivers 2 of three or more stations. In the position detector 6, the reception time difference between the plurality of receiver 2 response signals is converted into a distance difference between each receiver 2 and the aircraft, and an intersection of hyperbolic curves having conditions where the distance difference is constant is obtained. 5 position is detected. The secondary monitoring radar or a separately provided transmitter 3 transmits an interrogation signal at a predetermined cycle or at random using a non-directional antenna, and each time the response signal 12 from each aircraft 5 is received, the response signal 12, position information, identification information and the like of the aircraft 5 corresponding to 12 are detected.

  In the position detector 6, many detection position solutions are generated depending on the number of combinations of the receivers 2. For example, if the position of the aircraft 5 is detected by five receivers 2, the number of detected position solutions is ten. FIG. 3 shows the processing contents in the target processor 7. The processing of the correlation gate determination processing unit 13 will be described with reference to FIG. The correlation gate determination processing unit 13 receives, for example, the detected position solution A25, the detected position solution B26, the detected position solution C27, and the detected position solution D28 from the position detector 6, and from the predicted position of the wake managed by the target processor 7. It is determined whether the same target can be regarded as being in the correlation gate 29. When it is determined that a plurality of detected position solutions are within the correlation gate 29, the conventional method calculates the center of gravity position by equally determining the detected position solutions. Since the center line information such as the runway 10 and the taxiway 21 is used, the detected position solution determined to be in the correlation gate 29 is input to the vertical distance calculation processing unit 15.

The vertical distance calculation processing unit 15 calculates a vertical distance from each center line position received from the center line DB 14 to each detected position solution. A method for calculating the vertical distance will be described with reference to FIG. The figure shows a case where there is one center line for each of the runway 20 and the taxiway 21, and it is necessary to determine which one is the reference center tine.
23 is position information of the center line A of the runway 20 obtained from the center line DB 14, and 24 is position information of the center line B of the taxiway 21 obtained from the center line DB 14. The distance from the detection position solution A25 to the center line A23 is d1, and the distance to the center line B24 is d2. Similarly, the distance from the detection position solution B to the center line A23 is calculated as d3, the distance from the center line B24 to d4, and the distance from the detection position solution C27 to the center line A23 is d5, the distance to the center line B. Is d6.
Since the detected position solution D is outside the correlation gate 29, it is not input to the vertical distance calculation processing unit 15. The calculated distance information to the center line is output to the center line distance determination unit 16 together with the position information.

  The center line distance determination processing unit 16 determines the reference center line using the received distance information to each center line. That is, the sum of the respective distances from the detection position solution A25, the detection position solution B26, and the detection position solution C27, which are detection position candidates, to the center line A23 and the center line B24 of the candidate center line is calculated. In this case, the sum of the distances from the center line A23 to each detection position candidate is d1 + d3 + d5, and the sum of the distances from the center line B24 to each detection position candidate is d2 + d4 + d6. In the case of FIG. 4, the sum of d1 + d3 + d5 In this case, the center line A23 is determined as the reference center line and is output to the weighting determination processing unit 17.

The weighting determination processing unit 17 determines the weighting as shown in FIG. 5 according to each detected position solution and the distance from the reference center line A23. Since d1 <d3 <d5, the weighting is detected position solution A25> detected position solution B26> detected position solution C27. For example, when determining weighting in proportion to distance,
The weight of the detected position solution A25 is

It becomes. If you want to weight more strongly closer to the reference center line without being proportional,
The weight of the detected position solution A25 is

The centroid position calculation processing unit 18 calculates the centroid position by the weighting determined by the weighting determination processing unit 17. FIG. 6 shows a case where the present invention is not carried out, and the barycentric position 30 calculates the barycentric positions of the detected position solution A25, the detected position solution B26, and the detected position solution C27.
FIG. 7 shows a case where the present invention is implemented. The detected position solution A25 close to the reference center line A23 is weighted, and the center of gravity position 30 is closer to the reference center line than in the case where the present invention is not implemented. Is calculated. The smooth position calculation processing unit 19 calculates a smoothed position from the center of gravity position 30 calculated by the center of gravity position calculation processing unit 18 and the predicted position, and outputs the position as target position coordinates from the target processor 7. The output position coordinates are displayed on a display device of an airport surface monitoring system such as a control monitor, and the controller controls a target such as an aircraft or a vehicle while viewing the display.

  When the MLAT device 1 is received by three or more receivers 2 and identifies the position of the aircraft 5 from the time difference between them, a large number of detection position solutions are generated, and one detection position solution greatly deviates due to multipath or the like The detection position varies. In the present embodiment, by utilizing the fact that the target aircraft 5 is designed to pass through the center line of the route such as the runway 20 or the taxiway 21, the variation in each detected position solution is calculated using the center line. It can be suppressed by weighting as a reference, and the accuracy of position coordinates is improved. In addition, since the detection accuracy is improved in the MLAT device, which is an early stage, before the position coordinates detected by each target detection device are integrated, the burden on the air traffic controller is reduced and a safer airport surface monitoring system The effect that can be built.

Embodiment 2. FIG. This embodiment has the same configuration as that of the first embodiment.
However, as shown in FIG. 8, in the centerline DB 14 of the first embodiment, for example, the position coordinate data that has been output for one day yesterday is received and stored from the smooth position calculation processing unit 19 of the target processing device 7. . Since the position coordinates in the past fixed period are the path coordinates through which the aircraft 5 has passed, a line approximating the position coordinates is stored as center line information.

Even if weighting is performed using the centerline information of the present embodiment as a reference, the effect of suppressing variation in detection position is obtained as in the first embodiment.
In the case of the first embodiment, it is necessary to obtain the center line information from a related person such as a controller. However, according to the present embodiment, by storing the position coordinate data which is the output of the target processing device inside the MLAT device, there is an effect that the center line information can be easily extracted and used.

Embodiment 3 FIG.
A third embodiment of the present invention will be described with reference to FIGS. FIG. 9 is a block diagram showing an airport surface monitoring system according to Embodiment 3, and FIG. 10 is a flowchart showing the processing of the target processor 7 shown in FIG. The MLAT device 1 according to the third embodiment is a case where the center line information is not received as in the first embodiment. However, the track (position) information of the ASDE device 31 that is used together as the target detection device and has high accuracy is obtained and used as a reference. A target processor 7 is provided that calculates a vertical distance from a number of detected position solutions to the position coordinates of the reference ASDE wake, and determines the position coordinates by weighting each detected position solution according to the calculated vertical distance. It is characterized by that. The determined position coordinates are sent to and displayed on the display device 8 of the airport surface monitoring system.

  31 is an ASDE (Airport Surveillance Detection Equipment) device, which is a typical target detection device, which is installed at a high place such as a control tower, emits transmission radio waves, and receives radio waves reflected upon hitting targets such as aircraft. Signal processing is performed and target wake (position, speed, movement direction) information is output. The accuracy of the target detection device is generally higher than that of the MLAT device 1. 32 is an ASDE antenna for emitting radio waves in the air, 33 is an ASDE transceiver that transmits radio waves and receives radio waves reflected by a target such as an aircraft, and 34 is A / D-converting the received radio waves to target information. 35 is an ASDE processor for correlating and managing information on the target position, speed, and moving direction as ASDE tracks, and 36 is ASDE track information.

  In FIG. 10, 37 is an ASDE track server that receives and manages ASDE track information 36, 38 is an ASDE track distance calculation processing unit that calculates the distance from each detected position solution to the ASDE track position, and 39 is each detected position solution. 2 is an ASDE wake distance determination processing unit that determines a reference ASDE wake from a distance from the position to the ASDE wake position.

  The operation will be described with reference to FIGS. The ASDE position information of the ASDE track information 36 is output from the ASDE track server 37 to the ASDE track distance calculation processing unit 38. In the ASDE wake distance calculation processing unit 38, when there are two ASDE wakes, that is, the ASDE wake position A40 and the ASDE wake position B41 in the correlation gate 29 shown in FIG. Is calculated. In the case of FIG. 11, the distance from the ASDE track position A40 to the detected position solution A is d7, and the distance from the ASDE track position A40 to the detected position solution B is d8. The distance from the ASDE track position B41 to the detected position solution A is d9, and the distance from the ASDE track position B41 to the detected position solution B is d10. The calculated distance information is output to the ASDE track distance determination processing unit 39.

  The ASDE wake distance determination unit 39 calculates the reference ASDE wake from the two ASDE wakes. Therefore, the sum of the distance from the detected position solution to the ASDE wake position A40 (d7 + d8) and the ASDE wake position B41 (d9 + d10) are calculated. Compare distances. In the case of FIG. 11, since (d7 + d8) <(d9 + d10), the reference ASDE track is calculated as the ASDE track position A40 and output to the weighting determination processing unit 17. The weight determination processing unit 17 calculates the weight according to the distance from the reference ASDE track. When the reliability of the ASDE wake is high, the center of gravity is more reliable by increasing the weight of the detected position solution close to the reference ASDE wake by weighting the ASDE wake more prominently without distributing the distance proportionally. The position can be calculated.

  When the position of the aircraft is identified from the time difference received by a large number of receivers installed at a plurality of places as in the MLAT apparatus, a large number of detected position solutions are generated depending on the number of combinations of the receivers. If the position of the solution is greatly deviated due to multipath or the like, the detection position coordinates vary. According to the present invention, in the MLAT apparatus, a large number of generated detection position solutions can be suppressed by weighting with reference to the highly accurate ASDE track, and detection position accuracy and reliability are further improved. In addition, since the detection accuracy is improved in the MLAT device, which is an early stage, before the position coordinates detected by each target detection device are integrated, the burden on the air traffic controller is reduced and the airport surface is monitored more safely. There is an effect that the system can be constructed.

Embodiment 4 FIG.
Embodiment 4 of the present invention will be described with reference to FIGS. FIG. 12 is a block diagram showing an airport surface monitoring system according to Embodiment 4, and FIG. 13 is a block diagram showing processing of the target processor 7 shown in FIG. In FIG. 12, reference numeral 42 denotes a camera monitoring device that monitors an airport surface using a plurality of visible light cameras and infrared cameras. 43 is a camera that captures an airport such as a plurality of optical cameras and infrared cameras, 44 is an image detector that calculates a position from image information captured by the camera 43, 45 is wake information (position, speed, moving direction) subjected to correlation processing, An image processor 46 manages target information as image wakes, and camera wake information. In FIG. 13, 47 is a camera track server that receives and manages the camera track information 46, 48 is a camera track distance calculation processing unit that calculates the distance from each detected position solution to the camera track position, and 49 is from each detected position solution. It is a camera wake distance determination processing unit that determines a reference camera wake from a distance to each camera wake position.

The operation is substantially the same as the “ASDE” device, which is the target detection device in the third embodiment, replaced with a “camera” monitoring device, and will be described with reference to FIG. The camera track server 47 outputs the camera position information in the camera track information 46 to the camera track distance calculation processing unit 48. When there are two or more camera track positions in the correlation gate 29, the camera track distance calculation processing unit 48 calculates the distance from each detected position solution to each camera track position.
The camera wake distance determination processing unit 49 determines that the distance from each detected position solution to each camera wake position is the reference camera wake. The weight determination processing unit 17 calculates the weight according to the distance from each detected position solution to the reference camera track. When the reliability of the camera track position is high, the center of gravity is more reliable by increasing the weight of the detection position solution close to the reference camera track position by not assigning the distance proportionally and placing more weight on the weight. Position.

  This embodiment is also a case where the centerline information is not obtained. However, the camera track information 46 received from the camera monitoring device 42, which is another target detection device, is used for weighting each detection position solution in the MLAT device as in the third embodiment, so that the detection position of the MLAT device is detected. Variation of the detection position can be suppressed, and the accuracy of the detection position is improved. In addition, the detection accuracy is improved in the MLAT device, which is an early stage, before integrating the position coordinates detected by each target detection device. As a result, the burden on the controller performing the air traffic control work is reduced and the safety is improved. There is an effect that an airport surface monitoring system can be constructed.

Embodiment 5 FIG.
Embodiment 5 of the present invention will be described with reference to FIGS. FIG. 14 is a block diagram showing an airport surface monitoring system according to this embodiment, and FIG. 15 is a block diagram showing processing of the target processor 7 shown in FIG. 50 is a target for managing sensor track information 51 such as track information and target information of the target aircraft 5 by using a data link by GPS and wireless LAN, for example, other than the ASDE device and camera monitoring device that monitor the airport surface It is a detection device.
In FIG. 15, 52 is a sensor track server that receives and manages sensor track information 51, 53 is a sensor track distance calculation processing unit that calculates the distance between each detected position solution and each sensor track position, and 54 is each detected position solution. A sensor wake distance determination processing unit that determines a sensor wake as a reference from a distance to each sensor wake position.
The operation is the same as that in the case where “ASDE” in Embodiment 2 is replaced with “sensor”.

  This embodiment is also a case where the centerline information is not obtained. However, when there is another reliable target detection device, the sensor track information 51 is used for weighting each detection solution candidate in the MLAT device, so that variations in detection position can be suppressed. In addition, since the detection accuracy is improved in the MLAT device, which is an early stage, before the position coordinates detected by each target detection device are integrated, the burden on the air traffic controller is reduced and the airport surface is monitored more safely. There is an effect that the system can be constructed.

A sixth embodiment of the present invention will be described with reference to FIGS. In the present embodiment, the MLAT device 1 and the ASDE device 31 are used in combination as target detection devices, and these are integrated by the integrated processing device 55.
FIG. 16 is a block diagram showing an airport surface monitoring system according to the sixth embodiment, and FIG. 17 is a block diagram showing processing of the target processor 7 shown in FIG. In FIG. 16, 55 is an integrated processing device that integrates the same target by correlating whether the MLAT wake 56 received from the MLAT device 1 and the ASDE wake 36 received from the ASDE device 31 are of the same target, and 56 is the MLAT device. The target track information (position, velocity, direction information) output from the MLAT track including target information and 57 are the integrated track output from the integrated processing unit 55. In FIG. 17, 58 is an integrated wake server that receives and manages the integrated wake 56, 59 is an integrated wake distance calculation processing unit that calculates the distance from each detected position solution to each integrated wake position, and 60 is each detected position from each detected solution position. An integrated wake distance determination processing unit that determines a reference integrated wake position from a distance to the integrated wake position.
The operation is the same as that of “ASDE” in Embodiment 3 replaced with “integration”.

  This embodiment is a case where the centerline information is not obtained. However, if there is an integrated processing device 55 that integrates the target detection device on the airport surface, the integrated track information 57 is fed back to the MLAT device 1 and used as a weighting reference for each detected position solution, thereby detecting the MLAT device. Variations in position can be suppressed and detection accuracy is improved. As a result, it is possible to reduce the burden on the air traffic controller and to construct a safer airport surface monitoring system.

1 Multilateration device (MLAT device), 2 receivers, 3 transceivers,
4 reference transmitter, 5 aircraft, 6 position detector, 7 target processor, 8 display device,
9 Controller,
10 Question signal, 11 Broadcast signal, 12 Response signal, 13 Correlation gate determination processing unit,
14 centerline database, 15 vertical distance calculation processing unit,
16 centerline distance determination processing unit, 17 weighting determination processing unit,
18 gravity center position calculation processing unit, 19 smooth position calculation processing unit, 20 runway, 21 taxiway,
22 Airport Terminal 23 Centerline A, 24 Centerline B,
25 Detection position solution A, 26 Detection position solution B, 27 Detection position solution C, 28 Detection position solution D,
29 correlation gate, 30 center of gravity position, 31 ASDE device (airport surface detection device),
32 ASDE antennas, 33 ASDE transceivers, 34 ASDE detectors,
35 ASDE processor, 36 ASDE track information, 37 ASDE track server,
38 ASDE track distance calculation processing unit, 39 ASDE track distance determination processing unit,
40 ASDE track position A, 41 ASDE track position B,
42 camera monitoring device, 43 camera, 44 image detector, 45 image processor,
46 camera track information, 47 camera track server, 48 camera track distance calculation processing unit,
49 Camera wake distance determination processing unit,
50 ASDE device, target detection device other than camera monitoring device, 51 sensor track information,
52 sensor wake server, 53 sensor wake distance calculation processing unit,
54 sensor wake distance determination processing unit, 55 integrated processing device, 56 MLAT wake information,
57 integrated track information, 58 integrated track server, 59 integrated track distance calculation processing unit,
60 Integrated wake distance determination processing unit.

Claims (10)

A plurality of receivers for receiving signals transmitted from the target, a position detector for calculating and outputting a plurality of detected position solutions generated from different combinations of received signals from these receivers, and the plurality of detected position solutions In a multilateration device configured with a target processor that identifies a target position, the target processor includes:
A centerline database that accumulates a plurality of centerlines of a planned route through which the target passes, and whether or not the detected position solution is in a correlation gate created at a predicted position calculated based on past track information. A correlation gate determination processing unit for determining;
A multilateration apparatus, comprising: a weighting unit according to a vertical distance from a reference center line selected from the center line database to the detected position solution in the correlation gate. A vertical distance calculation processing unit that calculates a vertical distance from each of the center line positions to the detected position solution, the target processor;
The multi-lattice according to claim 1, further comprising a centerline distance determination processing unit that determines a reference centerline by obtaining a combination that minimizes a sum of vertical distances from the centerline position to the detected position solution. Equipment. In the centerline database,
3. The multilateration apparatus according to claim 1, wherein the center line is a line that approximates center position information of a route that a target should pass in map data that is map information of an airport surface. 2. The center line database, wherein detected position information that is an output of the target processor is stored in the center line database, and a line that approximates the detected position is defined as a center line. Item 3. The multilateration device according to Item 2. A plurality of receivers for receiving signals transmitted from the target, a position detector for calculating and outputting a plurality of detected position solutions generated from different combinations of received signals from these receivers, and the plurality of detected position solutions In a multilateration apparatus configured with a target processor that identifies a target position, the target processor includes:
A sensor wake server that manages sensor wake information received from other target detection devices used in combination, and a correlation gate in which the plurality of detected position solutions are created at predicted positions calculated based on past wake information A correlation gate determination processing unit for determining whether or not there is,
A multilateration apparatus, comprising: means for weighting each according to a distance from a detected position solution in the correlation gate to a reference sensor track position as a reference. A sensor wake distance calculation processing unit for calculating the distances from the detection position solution in the correlation gate to the plurality of sensor wake positions,
The multilateration apparatus according to claim 5, further comprising a sensor wake distance determination processing unit that determines a reference sensor wake by obtaining a sensor wake that minimizes a sum of distances from the sensor wake position to the detection position solution. . An ASDE device is used as the target detection device, and the ASDE track position output from the ASDE device is used instead of the sensor track position.
7. The multilateration apparatus according to claim 5, wherein an ASDE track server is used instead of the sensor track server. A camera monitoring device is used as the target detection device, and a camera wake position output from the camera monitoring device is used instead of the sensor wake position, and a camera wake server is used instead of the sensor wake server. The multilateration device according to claim 6. A plurality of receivers for receiving signals transmitted from a target, a position detector for calculating and outputting a plurality of detected position solutions generated from different combinations of received signals from these receivers, and a target from the plurality of detected position solutions A multilateration device comprising a target processor for identifying a position and outputting MLAT track information;
In an airport surface monitoring system provided with an ASDE device that performs signal processing on a radio wave signal reflected when an irradiated radio wave hits a target and outputs target ASDE track information,
An integrated processing device is provided that outputs an integrated track information obtained by correlating whether the MLAT track information and the ASDE track information are of the same target and integrating the same target,
The target processor in the multi-lateration device creates an integrated wake server that manages integrated wake information received from the integrated processing device, and the plurality of detected position solutions are created at predicted positions calculated based on past wake information. A multi-lattice having a correlation gate determination processing unit for determining whether or not the detected correlation gate exists, and means for weighting each according to the distance from the detection position solution in the correlation gate to the reference integrated track position as a reference An airport surface monitoring system characterized in that it has an installation device. The target processor inside the multilateration device is
An integrated wake distance calculation processing unit for calculating the distances from the detected position solution in the correlation gate to a plurality of the integrated wake positions, and an integration that minimizes the sum of the distances from the detected position solution to the integrated wake position; The airport surface monitoring system according to claim 9, further comprising a multilateration device having an integrated wake distance determination processing unit for obtaining a wake and determining a reference integrated wake.

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