KR101378887B1 - Apparatus and system for identifying friend or foe - Google Patents

Abstract

The present invention relates to a pia identification device and system for indirectly identifying a pia for a track that a radar detects and tracks. The PIA identification apparatus according to an embodiment of the present invention generates a track analyzer for analyzing a track for at least one target received from the radar and at least one parameter corresponding to the track analyzed by the track analyzer, It includes a fuzzy inference unit for calculating the PIA identification value using the parameter.

Description

PIA identification device and system {APPARATUS AND SYSTEM FOR IDENTIFYING FRIEND OR FOE}

The present invention relates to a pia identification device, and more particularly to a device for identifying a pia for the track that the radar detects and tracks.

 The anti-aircraft guided weapon system improves the air defense capability of major allied military installations by detecting / tracking and shooting down enemy aircraft attacking major facilities, ground army field units and airfields to improve short- and medium- and long-range air defense capabilities. It is for.

  The anti-aircraft guided weapons system monitors / manages the airborne tracks, performs pia identification on the tracks, evaluates the threats of the enemy tracks, calculates the information needed to shoot down the missiles, and launches the missiles. Perform the function of inputting necessary data. The anti-aircraft guided weapon system handles not only tracks detected by its sensors, but also external tracks received by interlocking with multiple adjacent systems through tactical data links to effectively respond to airborne threats from enemy aircraft. It determines the identity and shares the track information with the external system to process the information needed to shoot down the threat track.

  However, in the conventional large shared weapon system, the identification of the target was determined by processing the result of the question and answer by directly performing the PIA identification through the PIA identifier interrogator for the track detected and tracked by the radar. If they were found to be fighters, they stopped fighting and protected them. However, when the transponder mounted on the aircraft broke down due to an unexpected problem, the PIA identification response was invalid, causing a problem in that it could not be identified as a fighter and perform engagement. That is, there was no method for determining the identification value of the vehicle except the direct PIA identification method.

The present invention is to provide a PIA identification device and system for indirectly determining whether the target PIA is identified by using the track of the target tracked by the radar, without directly communicating with the target.

One embodiment of the present invention relates to a PIA identification device. The pia identification device generates a track analyzer for analyzing tracks for at least one target received from the radar and at least one parameter corresponding to the tracks analyzed by the track analyzer, and uses the parameters It includes a fuzzy inference unit for calculating the identification value.

As an example related to the present disclosure, the track analyzer may calculate a movement characteristic of the target from the region analyzer and the at least one track to analyze whether the at least one track is included in the at least one full-length region. It may include a characteristic analysis unit. The movement characteristic may be at least one of a falling speed, a falling angle, and a horizontal distance from the center point of the electric field area of the moving means.

As another example associated with the present disclosure, the fuzzy inference unit may set a fuzzy membership function of the parameter and calculate the pia identification value according to a fuzzy inference rule. In addition, the fuzzy membership function may be set to a Gaussian function.

As another example associated with the present disclosure, the apparatus may further include a numerical correction unit configured to set weights for the PIA identification values and generate a final PIA identification value by correcting the PIA identification values using the weights. The apparatus may further include a pia determination unit that determines pia identification information for the target by using the final pia identification value. In this case, the PIA identification information may be any one of friendly, enemy, unknown. In addition, the final PIA identification value may be obtained by adding the weight to the PIA identification value.

In addition, an embodiment of the present invention relates to a PIA identification system. The PIA identification system includes a radar tracking at least one target, a terminal providing an interface to the radar, a track analyzer analyzing a track of the target, and a PIA identification information of the target. 10. A fuzzy inference unit for calculating a PIA identification value for display on a display device, comprising: a PIA identification device according to any one of claims 1 to 9.

According to the present invention, it is possible to indirectly identify the pia for the target because it analyzes the electric field region and the movement characteristics from the track of the target, and generates the quantitative numerical pia identification value using the fuzzy inference. . Therefore, according to this invention, fighter protection and engagement reliability can be improved.
In addition, according to the present invention, the track information (for example, the movement characteristic of the target) received from one surveillance system (for example, radar) can be used to identify the pia for the target. That is, it is possible to identify the pia for the target without receiving any information about the target pia identification from an external system other than the radar. Thus, the pia of the target can be identified in a simple and inexpensive manner.

1 is a block diagram illustrating a PIA identification system according to an embodiment of the present invention.
2 is a conceptual diagram illustrating a terminal according to an embodiment of the present invention;
3 is a block diagram showing a track managing unit according to an embodiment of the present invention.
4 is a block diagram illustrating an apparatus for identifying a PIA according to an embodiment of the present invention.
5 is a flowchart illustrating a method for analyzing a track of a track analyzer according to an exemplary embodiment of the present invention.
6A and 6B are flowcharts illustrating a method of determining whether a battlefield region is included according to the present invention.
7 is a flowchart illustrating a method of calculating a pia identification value of a fuzzy inference unit according to an embodiment of the present invention.
8 is an exemplary diagram showing a fuzzy membership function according to an embodiment of the present invention

The present invention relates to a tactical vest and a method of attaching a device of the tactical vest that can detachably mount one or more devices. While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

1 is a block diagram illustrating a PIA identification system according to an exemplary embodiment of the present invention.

The PIA identification system according to the present invention controls the radar 200 for detecting and tracking a target, the terminal 300 displaying the track of the target tracked by the radar 200, and the radar 200 and the terminal 300. The computer 100 can be provided.

The terminal 300 may include a display unit and a user input unit. The terminal 300 may display tracks for at least one target using a display unit, and may receive data from a user using a user input unit. In addition, an interface to the radar 200 may be provided.

For example, the terminal 300 may receive an input for at least one battlefield area that the radar 200 can specifically target among areas where the radar 200 can detect a target. For another example, the at least one target detected by the radar 200 may be selected as either friendly, enemy or unknown. In addition, a target weight for the target may be received. This target weight may vary depending on which of the friendly, enemy, and unknown.

The computer 100 may include a track managing unit 430, a built-in training unit 450, and an engagement control unit 470, and may monitor and manage tracks for at least one target. Detailed description of the track management unit will be described later with reference to FIG. 2. Built-in training unit 450, for example, to create a virtual combat situation, and enables training according to the generated combat situation. The engagement control unit 470 may, for example, analyze and process information about at least one target in an actual or virtual battle situation, and direct and control an intercept mission for it.

The computer 100 may include a pia identification device 400 which will be described later with reference to FIG. 4, or may be itself. For example, the pia identification device 400 may be included in the track manager 430 of the computer 100.

The pia identification device 400 includes a track analyzer 410 for analyzing a track of at least one target detected and tracked by a radar, and a pia identification value for displaying the pia identification information of the target on the terminal 300. It may be provided with a fuzzy inference unit 430 to calculate. For example, the fuzzy inference unit 430 may indirectly identify the PIA for the target based on the information analyzed by the track analyzer 410.

According to the present invention, since the target's track can be identified only by the track of the target, even when the responder of the target corresponding to the friendly team fails, the friendly team can be protected and the engagement reliability can be improved.

2 is a conceptual diagram illustrating a terminal according to an embodiment of the present invention.

Referring to FIG. 2, the display unit of the terminal 300 may display a target 520, a track 530 corresponding to the target, and battlefield regions 502 and 504.

Target 520 may mean anything that can be detected and tracked by a radar. For example, it may be an aircraft, a ship and a missile. At least one track 530 of the target 520 may be displayed on the display unit of the terminal 300.

In addition, at least one electric field area 510 may be displayed on the display unit of the terminal 300. The electric field area 510 may be arbitrarily set or changed. The electric field area may be set in various forms, for example, a circle 502 or a polygon 504. The present invention may indirectly identify the pia of the target 520 based on fuzzy inference by using whether the track 530 is included in the battlefield region 510 and the movement characteristics of the track 530.

3 is a block diagram showing the track management unit 110 according to an embodiment of the present invention.

Referring to FIG. 3, the track manager may include a pia identification device 400, a track processing device 112, a radar interface 114, and a user interface 116.

The PIA identification device 400 determines whether the at least one track is included in at least one preset electric field area, and calculates a falling angle, a falling speed, and a horizontal distance from the center point of the electric field area to determine whether the PIA is included in the purge. Fuzzy inference techniques can be used to generate pia identifications by orderly numbers.

The track processing apparatus 112 may create an array structure for at least one track received from the radar 200. That is, a function of generating, updating, and deleting the array structure for the track can be performed.

The radar interface 114 may provide an interface related to the radar 200 in conjunction with the radar 200 that detects and tracks at least one track. The user interface 116 may provide an interface associated with the terminal 300.

4 is a block diagram illustrating a PIA identification apparatus 400 according to an exemplary embodiment of the present invention.

Referring to FIG. 4, the pia identification device 400 may include a track analyzer 410, a fuzzy inference unit 430, a numerical correction unit 450, and a pia determination unit 470.

The track analyzer 410 determines whether at least one target selected from friendly, enemy or unknown by the terminal is included in the at least one predetermined battlefield area, and among the moving characteristics of the target, a falling angle and a falling speed. At least one of the horizontal distance from the center point of the electric field area may be calculated.

The fuzzy inference unit 430 generates at least one parameter by using the data analyzed by the track analyzer 410, and applies the parameter to a fuzzy inference engine (FIE) to apply a fuzzy rule. ) Can be used to calculate the PIA identification of the track.

The numerical correction unit 450 distinguishes, for example, a predetermined electric field area and a moving characteristic of the target according to the identification importance, and the electric field area within a range equal to or greater than 0 and equal to or less than 1 according to the identification importance. A weight may be set for the movement characteristic. As another example, the weight may be set in the battlefield region and the movement characteristic in a range equal to or greater than 0, and equal to or less than 1 according to a target weight corresponding to any one of the allies, the enemy, and the unknown.

The numerical correction unit 450 may generate the final pia identification value from the pia identification value using the above weights. The final PIA identification value may be, for example, a weight added to the PIA identification value calculated by the fuzzy inference unit 430.

The pia determination unit 470 may determine the pia identification information of the target by using the final pia identification value generated by the numerical correction unit 450. Pia identification information may be, for example, any one of a friendly, enemy and unknown.

5 is a flowchart illustrating a method of analyzing a track of a track analyzer according to an exemplary embodiment of the present invention.

Referring to FIG. 5, the track analysis method of the track analyzer includes a suit region setting step (S120). At least one electric field area may be set by the terminal 300. In this case, the electric field area may correspond to either a circle or a polygon. In addition, a target weight for a target detected by the radar may be set by the terminal 300. As described above, the target weight may be any of friendly, enemy and unknown.

Next, the determination of whether to include the full-length area by the full-length analyzer 412 may be performed (S140). The battlefield analyzer 412 may determine whether at least one target is included in at least one battlefield region. A method of determining whether it is included in the electric field area will be described later with reference to FIGS. 6A and 6B.

Next, the movement characteristic determination step (S160) may be performed by the movement analyzer 416. The movement analyzer 416 may calculate a falling angle of the target, a falling speed, and a horizontal distance from the preset electric field area from the track.

The descent angle and descent speed of the track are calculated as follows. In this case, the reference coordinate system may use ENU (x: East, y: North, z: Upward). The position vector of the track is represented by Equation 1, and the velocity vector of the track is represented by Equation 2.

In this case, the falling angle θ of the track may be represented by Equation 3, and the falling speed may correspond to Equation 4.

The distance R between the track and the specific electric field region may correspond to Equation 5. In this case, the distance R means a horizontal distance.

6A and 6B are flowcharts illustrating a method of determining whether an electric field region is included according to the present invention.

6A is a flowchart for determining whether a track includes a full length region when the battlefield region is circular, and FIG. 6B is a flowchart for determining whether a track includes a battlefield region when the suit region is polygonal. In this case, x and y may respectively refer to east and west of the reference coordinate system described with reference to FIG. 5.

7 is a flowchart illustrating a method of calculating a pia identification value of a fuzzy inference unit according to an embodiment of the present invention.

Referring to FIG. 7, a fuzzy membership function is set by the fuzzy inference unit 430 (S220). The fuzzy inference unit 430 generates, as parameters, the electric field inclusion and movement characteristics analyzed by the track analyzer 410, and applies a Gaussian (meaning the mean and the variance to the fuzzy membership function for each parameter). gaussian) function.

Next, the fuzzy inference unit 430 may calculate the PIA identification value according to the fuzzy inference rule (S240). The fuzzy rule is as follows.

(1) The fuzzy rule according to whether the electric field region is included or not,

The area PIA identification value is very high when included in the area and close to the center point of the area.

The area PIA identification value is low when included in the area and far from the center point of the area.

If it is not included in the area and it is close to the center point of the area, the area PIA identification value is very low.

If it is not included in the area and is far from the center point of the area, the area PIA identification value is very low.

(2) The fuzzy rule according to the falling angle of the wake,

If the wake's falling angle is large, the enemy PIA identification is very high.

If the descent angle of the track is small, the bandit's identification is normal.

(3) The fuzzy rule according to the descent speed of the wake,

If the wake descends at a high rate, the enemy Pia identification is very high.

If the track's descent speed is small, the enemy PIA identification is normal.

(4) The fuzzy rule according to the horizontal distance to the center point of the wake and the battlefield region,

In the case of an approaching track, if the horizontal distance is close, the area PIA identification value is high.

In the case of approaching tracks, if the horizontal distance is far, the area PIA identification value is very low.

The fuzzy rule as described above may use a mandani fuzzy inference method.

8 is an exemplary diagram illustrating a fuzzy membership function according to an embodiment of the present invention, and FIG. 9 is a flowchart illustrating a method of generating a final pia identification value of a numerical correction unit according to an embodiment of the present invention.

As described above, according to the present invention, the pia identification device may indirectly identify the pia of the target by using the information of the track and the battlefield area of the target. Therefore, even when a transponder mounted on a friendly aircraft or a guided missile fails due to an unexpected problem, and the PIA identification response is invalid, the PIA identification device or system of the present invention protects the friendly aircraft and improves the reliability of engagement. Can be improved. In addition, since at least one electric field area can be set to a circular or polygonal shape, the radar can be used efficiently.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention.

Claims (10)

A track analyzer analyzing the track of at least one target received from the radar; And
A fuzzy inference unit configured to generate at least one parameter corresponding to the track analyzed by the track analyzer and calculate a PIA identification value using the parameter;
The track analysis unit,
An area analyzer configured to analyze whether the at least one track is included in at least one preset electric field area; And
And a characteristic analyzer configured to calculate a movement characteristic of the target from the at least one track. delete The method of claim 1,
And the moving characteristic is at least one of a falling speed of the moving means, a falling angle, and a horizontal distance from a center point of the electric field area. The method of claim 1,
The fuzzy inference unit sets a fuzzy membership function of the parameter, and calculates the pia identification value according to a fuzzy inference rule. 5. The method of claim 4,
And the fuzzy membership function is set to a Gaussian function. The method of claim 1,
And a numerical correction unit configured to set weights for the PIA identification values and generate a final PIA identification value by correcting the PIA identification values using the weights. The method according to claim 6,
And a pia determination unit configured to determine pia identification information for the target by using the final pia identification value. The method of claim 7, wherein
The pia identification information is any one of friendly, enemy, unknown. The method according to claim 6,
And the final PIA identification value is obtained by adding the weight to the PIA identification value. A radar that tracks at least one target;
A terminal providing an interface to the radar and having a display unit; And
And a region analyzer configured to analyze whether the track of the target is included in at least one preset electric field region, and a characteristic analyzer configured to calculate a movement characteristic of the target from the at least one track. A track analyzer analyzing the track of the target using an analyzer;
A fuzzy inference unit configured to generate at least one parameter corresponding to the track analyzed by the track analyzer, and to calculate a PIA identification value for displaying the PIA identification information of the target on the display using the parameter; Pia identification system including Pia identification device.

Images