KR102131718B1 - High mobility-space threat target processing system of next generation naval compat system - Google Patents

Abstract

Disclosed is a high-mobility space threat target processing system of a battle system for a next-generation naval vessel. The high-mobility space threat target processing system of a battle system for a next-generation naval vessel comprises: a multi-function radar (MFR) sensor to generate detection information; and a high-mobility space threat target alarm module to output an alarm for a threat target in the detection information generated by the MFR sensor. The high-mobility space threat target alarm module is configured to output an alarm for a threat target received from a friendly naval vessel through a data link. The high-mobility space threat target processing system of a battle system for a next-generation naval vessel analyzes the high mobility and altitude of a raw target first for a high-mobility space threat target such as a ballistic missile without using a general tactic target calculation algorithm to pre-classify the high-mobility space threat target to quickly recognize and respond to the ballistic missile.

Description

High-speed space threat target processing system for the next-generation warship combat system{HIGH MOBILITY-SPACE THREAT TARGET PROCESSING SYSTEM OF NEXT GENERATION NAVAL COMPAT SYSTEM}

The present invention relates to a target processing system for a combat system for ships, and more particularly, to a high-speed space threat target processing system for a next-generation ship combat system.

In conventional destroyers, enemies are detected using various optical sensors and radar sensors. However, since the same detector is detected by several sensors and a primitive target is generated, these primitive targets must be collected, analyzed, and output as one tactical target.

Since many primitive targets have to be compared and analyzed in this process, it takes some time to calculate the tactical targets.

However, the enemy ballistic body has a problem that, unlike an aircraft or a warship, since its speed is very fast and is detected at a high altitude, it is difficult to detect with a general sensor and has a very tight margin to respond after detection.

Currently, it can be detected only by a multi-function radar (MFR) sensor, and it can detect enemy ballistic missiles in a relatively short time at relatively long distances.

For enemy ballistic missiles, the calculation of tactical targets is often inappropriate, and due to the time it takes, it is also unsuitable for rapid response.

Accordingly, a faster and more accurate target calculation algorithm is required than a general tactical target calculation algorithm.

Registered Patent Publication 10-1243150 Registered Patent Publication 10-1751333

An object of the present invention is to provide a high-speed space threat target processing system of a next-generation warship combat system.

The high-speed space threat target processing system of the next-generation warship combat system according to the object of the present invention described above includes: a multi-function radar (MFR) sensor for generating detection information; It may be configured to include a high-motion space threat target alarm module for outputting an alarm for the threat target among the detection information generated by the MFR sensor.

Here, the high-motion space threat target alarm module may be configured to output an alarm for a threat target received from an allied trap through a data link.

In addition, the high-motion space threat target alarm module may be configured to output an alarm for a threat target received from an allied trap through a data link.

The high-speed space threat target processing system of the next-generation warship combat system according to the above-described object of the present invention generates a MFR sensor primitive target using the detection information of the MFR sensor, analyzes the generated MFR primitive target, and targets the high-motion space threat target. High-motion space threat target classification module to generate by prioritizing classification; A high-motion space threat target alarm module that immediately outputs an alarm when there is a high-motion space threat target generated by the high-motion space threat target classification module; A self-detection sensor raw target generation module for generating a plurality of self-detection sensor raw targets for the same target using detection information of a plurality of self-detection detection sensors; A target fusion module that generates a sensor fusion target that performs target fusion of an MFR sensor primitive target generated by the high-motion space threat target classification module and a plurality of magnetization detection sensor primitive targets generated by the self-detection sensor primitive target generation module; An operator input module that receives a command for generating a target by an operator; An operator primitive target generation module that generates an operator primitive target according to a command input from the operator input module; A system target generation module that generates a system target by performing target fusion of a sensor fusion target generated by the target fusion module and an operator primitive target generated by the operator primitive target generation module; A data link reception target generation module for receiving a tactical target of a friendly ship through a data link and generating a data link reception target; A target comparison matching module that compares the system target generated by the system target generation module and the data link receiving target generated by the data link reception target generation module to determine whether or not a match exists; A tactical target generation module that generates a tactical target according to the determination result of the target comparison matching performance module; A self-contained tactical target transmission module that transmits the tactical target generated by the tactical target generation module to a friendly ship through a data link; A target matching and hierarchical classification module that hierarchically classifies the high-motion space threat target, primitive target, data link receiving target, system target, and tactical target; A detection rate analysis module for each sensor that analyzes whether a MFR sensor and a corresponding self-detection sensor detect each sensor and a detection rate for each sensor using targets that are mutually matched and hierarchically classified in the target matching and layer classification module; A detection position error analysis module for each sensor that analyzes a detection position error for each sensor using a target that is hierarchically classified by mutual matching in the target matching and hierarchical classification module; A detection time error analysis module for each sensor that analyzes an initial detection time error for each sensor by using a target that is hierarchically classified by mutual matching in the target matching and hierarchical classification module; Detection rate per sensor and detection rate per sensor analyzed in the detection rate analysis module for each sensor, detection position error per sensor analyzed in the detection position error analysis module for each sensor, detection time for each sensor analyzed in the error analysis module detection time for each sensor It may be configured to include a detection rate / target error feedback module to feedback the error to be used in the tactical target generation module in the tactical target generation module.

In this case, the high-motion space threat target classification module includes: an MFR sensor primitive target generation unit generating a MFR sensor primitive target using detection information of the MFR sensor; An MFR sensor target distance analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target distance from the magnetic field to the MFR sensor raw target; An MFR sensor target speed analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target speed; An MFR sensor target elevation analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target elevation; A high-motion space threat target determination unit for determining whether a high-motion space threat of the MFR sensor primitive target is performed using the calculated MFR sensor target distance, MFR sensor target speed, and MFR sensor target altitude; A high-motion space threat target generation unit for generating a high-motion space threat target according to the determination result of the high-motion space threat target determination unit; A high-motion space threat target trajectory generator for generating a high-motion space threat target trajectory generated by the high-motion space threat target generator; A high-motion space threat target predicted trajectory generator for generating an expected trajectory using the MFR sensor target distance, MFR sensor target speed and MFR sensor target altitude and the trajectory generated by the high-motion space threat target trajectory generator; It may be configured to include a targeting friendly trap identification unit that identifies a targeting friendly trap according to the predicted trajectory generated by the high-speed space threat target predicted trajectory generation unit by referring to the location information of the friendly trap.

In addition, the high-motion space threat target transmission module may be configured to transmit information on the targeted friendly trap identified by the targeted friendly trap capture unit to a friendly trap through a data link.

And the tactical target generation module, a target association performing unit for performing a target association between the generated tactical targets; A target binding performing unit performing target binding between the generated tactical targets; A target pairing unit performing target pairing between the generated tactical targets; An azimuth crossing measurement unit for measuring azimuth crossing between the generated tactical targets; Detection rate/target error deep learning (deep learning) to generate a tactical target by performing deep learning using the detection rate and detection rate by sensor fed back from the detection rate/target error feedback module, detection position error by sensor, and initial detection time error by sensor learning) application.

According to the high-speed space threat target processing system of the next-generation warship combat system, for high-speed space threat targets such as ballistic missiles, high-motion space threats are analyzed by first analyzing the high-mobility and altitude of the raw target without using a general tactical target calculation algorithm. By being configured to pre-classify the target, there is an effect that can recognize and respond to ballistic missiles more quickly.

In particular, it is configured to promptly notify allied ships of high-motion space threat targets so that allied ships can quickly recognize the threats and to specify and notify targeted allied traps, threats against allied traps without MFR sensors It has the effect of being able to respond quickly to coping.

In addition, by configuring and storing and managing tactical targets, system targets, data link receiving targets, and numerous raw targets for each sensor by stratifying each other, errors of targets detected by each sensor for the same target and whether each sensor is detected or not and sensor It has the effect of accurately calculating and analyzing the star detection rate.

In addition, it is configured to generate a tactical target by a deep learning algorithm using the target error, thereby increasing the accuracy and reliability of the tactical target and reducing the calculation time of the tactical target.

In particular, by using a deep learning algorithm, the target target is automatically changed in real time according to the detection characteristics of each target target and the target target, so that the target target can be converted more accurately and quickly. have.

1 is a block diagram of a high-speed space threat target processing system of a next-generation warship combat system according to an embodiment of the present invention.
2 is an exemplary view of an alarm window of a high-motion space threat target according to an embodiment of the present invention.
3 is a schematic diagram showing cross-target matching and hierarchical classification between targets according to an embodiment of the present invention.

The present invention can be applied to various changes and can have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in detail for carrying out the invention. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from other components. For example, the first component may be referred to as a second component without departing from the scope of the present invention, and similarly, the second component may be referred to as a first component. The term and/or includes a combination of a plurality of related described items or any one of a plurality of related described items.

When an element is said to be "connected" or "connected" to another component, it is understood that other components may be directly connected or connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that no other component exists in the middle.

The terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "include" or "have" are intended to indicate the presence of features, numbers, steps, actions, components, parts or combinations thereof described herein, one or more other features. It should be understood that the existence or addition possibilities of fields or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the present invention pertains. Terms, such as those defined in a commonly used dictionary, should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of a high-speed space threat target processing system of a next-generation warship combat system according to an embodiment of the present invention. And Figure 2 is an exemplary view of an alarm window of a high-motion space threat target according to an embodiment of the present invention, Figure 3 is a schematic diagram showing cross-matching and hierarchical classification between targets according to an embodiment of the present invention.

Referring to Figure 1, the high-speed space threat target processing system 100 of the high-speed space threat target classification module 101, high-speed space threat target receiving module 102, high-speed motion Space threat target alarm module 103, high-speed space threat target transmission module 104, self-detection sensor raw target generation module 105, target fusion module 106, operator input module 107, operator raw target generation module ( 108), system target generation module 109, data link receiving target generation module 110, target comparison matching execution module 111, tactical target generation module 112, self-contained tactical target transmission module 113, target database ( 114), target matching and layer classification module 115, detection rate analysis module for each sensor 116, detection position error analysis module for each sensor 117, detection time error analysis module for each sensor 118, detection rate/target error feedback module It may be configured to include (119).

Hereinafter, a detailed configuration will be described.

The high-motion space threat target classification module 101 is configured to generate the MFR sensor primitive target using the detection information of the MFR sensor 10, and analyze the generated MFR primitive target to preferentially classify and generate the high-motion space threat target. Can. Here, the MFR sensor 10 may be provided in a mast, and may be configured to detect a target that is the most distant or the most highly-altitude in a self-propelled ship.

The high-motion space threat target classification module 101 includes an MFR sensor raw target generation unit 101a, an MFR sensor target distance analysis unit 101b, an MFR sensor target speed analysis unit 101c, and an MFR sensor target elevation analysis unit 101d, High speed space threat target determination unit 101e, high speed space threat target generation unit 101f, high speed space threat target trajectory generation unit 101g, high speed space threat target predicted trajectory generation unit 101h, targeted friendly trap detection unit 101i ). Hereinafter, a detailed configuration will be described.

The MFR sensor primitive target generator 101a may be configured to generate an MFR sensor primitive target using detection information of the MFR sensor 10.

The MFR sensor target distance analysis unit 101b may be configured to analyze the MFR sensor raw target generated by the MFR sensor raw target generation unit 101a to calculate the MFR sensor target distance from the ship to the MFR sensor raw target.

The MFR sensor target velocity analysis unit 101c may be configured to calculate the MFR sensor target velocity by analyzing the MFR sensor raw target generated by the MFR sensor raw target generation unit. The target velocity may also include directional components.

The MFR sensor target elevation analysis unit 101d may be configured to analyze the MFR sensor raw target generated by the MFR sensor raw target generation unit 101a to calculate the MFR sensor target elevation.

The high-motion space threat target determination unit 101e may be configured to determine whether the high-motion space threat of the MFR sensor primitive target is using the previously calculated MFR sensor target distance, MFR sensor target speed, and MFR sensor target altitude.

Here, the high mobility space threat means that the mobility of the target itself is very high, and the speed is very fast and there are many changes, and the space can appear at a very high altitude. Targets for high-space space threats are usually ballistic and can be ballistic missiles. Such ballistics can primarily target traps such as destroyers.

Since the high-speed space threat target determination unit 101e first appears and is captured by the MFR sensor 10 when it is first detected, most of the MFR sensor raw targets are tactical targets. It can be referenced whether or not the final output has been made. Accordingly, the high-motion space threat target determination unit 101e determines the high-motion space threat target by referring to whether it corresponds to the tactical target generated by the tactical target generation module 112, and if there is no corresponding tactical target as a result of determination, the high-motion space universe It can be configured to judge as a threat target.

The high dynamic space threat target generating unit 101f may be configured to generate a high dynamic space threat target according to the determination result of the high dynamic space threat target determining unit 101e. In a general battle system, a number of primitive targets collected from various self-detection detection sensors 20 are fused to generate a system target, and a system target and other friendly ship's data link receiving targets are aggregated to perform calculations according to various algorithms and finally Create a tactical target and output it to the console. However, in the present invention, it can be configured to quickly determine whether a target of a high-motion space threat is immediately at the stage of generating a primitive target and output it to the console as a final target. Since the target is calculated and output considerably faster than the tactical target, there is an advantage that it is possible to secure more time to respond to the high-mobility ballistic body. In the case of a high-space ballistic, it may be configured to perform rapid target processing by the MFT sensor 10 because it is not well detected by other EOTS, general radar, etc. other than the MFR sensor 10.

The high dynamic space threat target trajectory generation unit 101g may be configured to generate a high dynamic space threat target trajectory generated by the high dynamic space threat target generation unit.

The high-motion space threat target predicted trajectory generation unit 101h is configured to generate the predicted trajectory using the MFR sensor target distance, MFR sensor target speed, and MFR sensor target altitude and the high-speed space threat target trajectory generation unit 101g. Can be.

The targeting friendly trap detection unit 101i may be configured to identify the targeted friendly trap 200 according to the predicted trajectory generated by the high-motion space threat target predicted trajectory generation unit 101h by referring to the location information of the friendly trap. By using the trajectory and the predicted trajectory, it is possible to know which friendly trap 200 is targeted, and the arrival time to the target can also be calculated.

The high-motion space threat target receiving module 102 may be configured to receive the high-motion space threat target generated in the above friendly force trap 200 through a datalink from the friendly trap 200.

The high-speed space threat target alarm module 103 immediately alarms when there is a high-speed space threat target generated by the high-speed space threat target classification module 101 or a high-speed space threat target reception module 102 receives a high-speed space threat target. alarm). That is, it may be configured to share information on a high-motion space threat target among allies, and to process and output the first recognized high-motion space threat target as it is.

The high-speed space threat target transmission module 104 may be configured to transmit the high-speed space threat target generated by the high-speed space threat target classification module 101 to the friendly trap 200 through a data link.

The self-detection sensor raw target generation module 105 may be configured to generate the self-detection sensor raw target using the detection information of the self-detection sensor 20. Multiple magnetic field detection sensor primitive targets may be generated for one and the same object.

The target fusion module 106 performs target fusion of the MFR sensor primitive target and self-detection sensor generated by the high-motion space threat target classification module 101 and the multitude of self-detection sensor primitive targets generated by the raw target generation module 105. It can be configured to generate a sensor fusion target. That is, the primitive targets detected in relation to the same subject may be configured to fuse into one target.

The operator input module 107 may be configured to receive a command for target generation by the operator.

The operator primitive target generation module 108 may be configured to generate an operator primitive target according to an instruction input from the operator input module 107. If detected by the self-detection sensor 20 but is not output as a final tactical target, the operator can quickly manually generate an operator's primitive target.

The system target generation module 109 is configured to perform target fusion of the sensor fusion target generated by the target fusion module 106 and the operator primitive target generated by the operator primitive target generation module 108 to generate a system target. Can.

The data link receiving target generation module 110 may be configured to receive a tactical target of the friendly trap 200 through a data link and generate a data link receiving target.

The target comparison matching performance module 111 may be configured to compare the system target generated by the system target generation module 109 and the data link reception target generated by the data link reception target generation module 110 to determine whether the match is made. .

The tactical target generation module 112 may be configured to generate a tactical target according to the determination result of the target comparison match execution module 111.

The tactical target generation module 112 includes a target association performing unit 112a, a target binding performing unit 112b, a target pairing performing unit 112c, an azimuth cross measurement unit 112d, a detection rate/target error deep learning ( deep learning) application unit 112e. Hereinafter, a detailed configuration will be described.

The target association performing unit 112a may be configured to perform target association between tactical targets.

The target binding performing unit 112b may be configured to perform target binding between tactical targets.

The target pairing performing unit 112c may be configured to perform target pairing between tactical targets.

The azimuth intersection measurement unit 112d may be configured to measure azimuth intersection between tactical targets.

The detection rate/target error deep learning application unit 112e uses deep learning using the detection rate/target error feedback and detection rate per sensor, detection position error per sensor, and initial detection time error per sensor. It may be configured to perform a tactical target.

In other words, the detection rate/target error feedback module 119 detects information such as position error between each other, an error in the initial detection time, and whether or not detection is made for each sensor when there are multiple raw targets for one object. It may be configured to feedback to the error deep learning application unit 112e.

The detection rate/target error deep learning application unit 112e generates deep tactical targets by performing deep learning using a detection rate or detection rate for each one sensor, a detection position error for a target, and a detection time error. It can increase time and efficiency. And it can increase the reliability and accuracy of such tactical targets.

The self-sealing tactical target transmission module 113 may be configured to transmit the tactical target generated by the tactical target generation module 112 to the friendly ship 200 through a data link. That is, the final tactical target can be shared with allies.

The target database 114 may be configured to store real-time space threat targets, raw targets, data link receiving targets, system targets, and tactical targets in real time.

The target database 114 may be configured to include a high-motion space threat target database 114a, a raw target database 114b, a datalink receiving target database 114c, a system target database 114d, and a tactical target database 114e. have. Hereinafter, a detailed configuration will be described.

The high-motion space threat target database 114a may be configured to store the high-motion space threat target preferentially generated by the high-motion space threat target classification module 101.

In the primitive target database 114b, the MRF sensor primitive target generated by the high-speed space threat target classification module 101, the self-detection sensor primitive target generated by the primitive target generation module 105, and the operator primitive target generation module 108 ) Can be configured to store the operator primitive target generated.

The data link reception target database 114c may be configured to store the data link reception target generated by the data link reception target generation module 110.

The system target database 114d may be configured to store system targets generated by the system target generation module 109.

The tactical target database 114e may be configured to store the tactical targets generated by the tactical target generation module 112.

The target matching and hierarchical classification module 115 may be configured to hierarchically classify the high-speed space threat targets, raw targets, data link receiving targets, system targets, and tactical targets that are stored in real time in the target database 114. . 3 shows that a system target, a data link receiving target as a lower node, and a primitive target for each sensor are layered as a lower node of the system target, with one tactical target as the upper node.

The target matching and hierarchical classification module 115 may be configured to update and store the high-powered space threat targets, primitive targets, data link receiving targets, system targets, and tactical targets that have been hierarchically classified by mutual matching. Can.

In the past, these targets were individually stored, but in the present invention, targets related to one target are layered and matched to each other to be stored, thereby increasing the utilization of target information.

The detection rate analysis module for each sensor 116 detects whether the MFR sensor 10 and the corresponding self-detection sensor 20 detect each sensor by using a target that is hierarchically classified by target matching and hierarchical classification module 115. And a detection rate for each sensor. There may be a case where each sensor is detected for one object, and some may not be detected, and in some cases, a detection rate for each sensor within a predetermined range may be displayed. This can represent a certain pattern depending on various environmental conditions such as the distance from the ship, the type of sensor, and the type of target.

The detection position error analysis module for each sensor 117 may be configured to analyze the detection position error for each sensor by using targets that are hierarchically classified by target matching and hierarchical classification module 115. Each sensor has a slight error in the detection position of the original target, and can be configured to analyze it. It may exhibit a certain pattern depending on various environmental conditions such as the distance from the ship and the type of target.

The detection time error analysis module for each sensor 118 may be configured to analyze the initial detection time error for each sensor by using targets that are hierarchically classified by target matching and hierarchical classification module 115. That is, for one and the same object, the initial detection time may be different for each sensor, and the initial detection time may exhibit a certain pattern according to various environmental conditions such as distance from the ship, anti-aircraft target, and anti-ship target.

The detection rate/target error feedback module 119 detects whether each sensor is detected in the detection rate analysis module 116 for each sensor, detection rate per sensor, detection position error for each sensor analyzed in the detection position error analysis module for each sensor 117, sensor The initial detection time error for each sensor analyzed by the initial detection time error analysis module 118 may be configured to be fed back to the tactical target generation module 112 for use in generating the tactical target.

At this time, the detection rate/target error deep learning application unit 112e is based on the detection rate/target detection rate and the detection rate error for each sensor, the detection position error for each sensor, and the initial detection time error for each sensor fed back from the detection rate/target error feedback module 119. It may be configured to perform deep learning to generate a tactical target.

Depending on which distance range target, anti-aircraft target, anti-ship target, or sensor target, a primitive target may or may not be generated, the detection position error may show a certain pattern, and the initial detection time Errors can also exhibit a certain pattern. Even if a raw target is not generated or an error occurs, it is possible to quickly perform tactical target processing by deep learning.

On the other hand, the detection rate/target error deep learning application unit 112e uses the above pattern to automatically set the target with the highest accuracy according to a specific condition or pattern among targets automatically, and again when these conditions or patterns change Other primitive targets with the highest accuracy can be targeted to generate tactical targets. Thus, the accuracy of the tactical target can be further increased.

For example, the raw target #1 detected by the radar in FIG. 3 may be a target, but when the distance from the ship is close and enters within a certain range, the raw target #2 detected by the EOTS is changed in real time by the target. And tactical target processing can be performed.

Although described with reference to the above embodiments, those skilled in the art can understand that the present invention can be variously modified and changed within the scope not departing from the spirit and scope of the invention described in the claims below. There will be.

101: threat target classification module
101a: MRF sensor raw target generator
101b: MFR sensor target distance analyzer
101c: MFR sensor target speed analyzer
101d: MFR sensor target altitude analysis unit
101e: High Meat Space Threat Target Judging Unit
101f: High-powered space threat target generator
101g: High motion space threat target trajectory generator
101h: Expected trajectory generation unit for high-powered space threat target
101i: Targeted Allied Trap Identification Unit
102: High-space-space threat target receiving module
103: High-motion space threat target alarm module
104: high-motion space threat target transmission module
105: self-detection sensor raw target generation module
106: target fusion module
107: operator input module
108: operator primitive target generation module
109: system target generation module
110: datalink (datalink) receiving target generation module
111: target comparison matching module
112: tactical target generation module
112a: target association performing unit
112b: target binding performing unit
112c: target pairing performing unit
112d: azimuth cross measurement
112e: Detection rate/target error deep learning application
113: self-propelled tactical target transmission module
114: target database
114a: Highland Space Threat Target Database
114b: Raw target database
114c: Datalink receiving target database
114d: System target database
114e: Tactical target database
115: Target matching and layer classification module
116: detection rate analysis module for each sensor
117: detection position error analysis module for each sensor
118: detection time error analysis module for each sensor
119: detection rate/target error feedback module

Claims (4)

delete delete delete A high-motion space threat target classification module for generating a MFR sensor primitive target using the detection information of the MFR sensor, and analyzing the generated MFR primitive target to preferentially classify and generate a high-motion space threat target;
A high-motion space threat target alarm module that immediately outputs an alarm when there is a high-motion space threat target generated by the high-motion space threat target classification module;
A self-detection sensor raw target generation module for generating a plurality of self-detection sensor raw targets for the same target using detection information of a plurality of self-detection detection sensors;
A target fusion module that generates a sensor fusion target by performing target fusion of a MFR sensor primitive target generated by the high-motion space threat target classification module and a plurality of magnetization detection sensor primitive targets generated by the self-detection sensor primitive target generation module;
An operator input module that receives a command for generating a target by an operator;
An operator primitive target generation module that generates an operator primitive target according to a command input from the operator input module;
A system target generation module for generating a system target by performing target fusion of the sensor fusion target generated by the target fusion module and the operator primitive target generated by the operator primitive target generation module;
A data link reception target generation module for receiving a tactical target of a friendly ship through a data link and generating a data link reception target;
A target comparison matching module that compares the system target generated by the system target generation module and the data link receiving target generated by the data link reception target generation module to determine whether or not a match exists;
A tactical target generation module that generates a tactical target according to the determination result of the target comparison matching performance module;
A self-contained tactical target transmission module that transmits the tactical target generated by the tactical target generation module to a friendly ship through a data link;
A target matching and hierarchical classification module that hierarchically classifies the high-motion space threat target, primitive target, data link receiving target, system target, and tactical target;
A detection rate analysis module for each sensor that analyzes whether each sensor is detected and a detection rate for each sensor by using a target that is hierarchically classified by the target matching and hierarchical classification module;
A detection position error analysis module for each sensor that analyzes a detection position error for each sensor using a target that is hierarchically classified by mutual matching in the target matching and hierarchical classification module;
A detection time error analysis module for each sensor that analyzes an initial detection time error for each sensor by using a target that is hierarchically classified by mutual matching in the target matching and hierarchical classification module;
Detection rate per sensor and detection rate per sensor analyzed in the detection rate analysis module for each sensor, detection position error per sensor analyzed in the detection position error analysis module for each sensor, detection time for each sensor analyzed in the error analysis module detection time for each sensor A detection rate/target error feedback module that feedbacks the error so that it can be used in the tactical target generation module in the tactical target generation module,
The high-motion space threat target classification module,
An MFR sensor primitive target generator for generating a MFR sensor primitive target using the detection information of the MFR sensor;
An MFR sensor target distance analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target distance from the magnetic field to the MFR sensor raw target;
An MFR sensor target speed analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target speed;
An MFR sensor target elevation analysis unit that analyzes the MFR sensor raw target generated by the MFR sensor raw target generation unit to calculate an MFR sensor target elevation;
A high-motion space threat target determination unit for determining whether a high-motion space threat of the MFR sensor primitive target is performed using the calculated MFR sensor target distance, MFR sensor target speed, and MFR sensor target altitude;
A high-motion space threat target generation unit for generating a high-motion space threat target according to the determination result of the high-motion space threat target determination unit;
A high-motion space threat target trajectory generator for generating a high-motion space threat target trajectory generated by the high-motion space threat target generator;
A high-motion space threat target predicted trajectory generator that generates an expected trajectory using the MFR sensor target distance, MFR sensor target speed, and MFR sensor target altitude and the trajectory generated by the high-motion space threat target trajectory generator;
It is configured to include a targeting friendly trap identification unit that identifies a targeting friendly trap according to the predicted trajectory generated by the predicted trajectory generation unit of the high-motion space threat target by referring to the location information of the friendly trap,
The tactical target generation module,
A target association performing unit performing target association between the generated tactical targets;
A target binding performing unit performing target binding between the generated tactical targets;
A target pairing unit performing target pairing between the generated tactical targets;
An azimuth crossing measurement unit for measuring azimuth crossing between the generated tactical targets;
Detection rate/target error deep learning to generate tactical targets by performing deep learning using the detection rate/detection rate for each sensor fed back from the detection rate/target error feedback module, the detection position error for each sensor, and the initial detection time error for each sensor (deep learning) High-performance space threat target processing system of the next-generation warship combat system, characterized in that it is configured to include an application unit.

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