AI-driven missile defense system

Abstract

We provide a missile defense system that utilizes generative AI to perform real-time dynamic analysis and generate defensive measures, thereby improving the responsiveness and flexibility of missile defense. [Solution] This invention provides a missile defense system that utilizes generative AI and ensemble learning with multiple AI models to analyze enemy missile flight data and communication signals in real time and immediately generate jamming signals and interception measures. Through ensemble learning, each AI model analyzes the threat from its own perspective, and the generative AI integrally generates the optimal defense measures. Furthermore, the continuous learning function improves the accuracy of defenses in subsequent instances, and enhances responsiveness and flexibility against irregular threats and multiple attacks. This system dramatically strengthens the ability to defend against diverse attacks.

Description

Technical Field

[0001] The present invention relates to a missile defense system that utilizes Generative AI. In particular, without relying on conventional AI technologies, it belongs to a next-generation defense technology that enables autonomous missile interception and electronic jamming with excellent accuracy and flexibility by using Generative AI to perform real-time analysis, prediction, and generation of countermeasures against threats.

[0002] The technical field of the present invention is related to the utilization of Generative AI in air defense systems, electronic warfare systems, and autonomous missile interception systems. Specifically, it provides a technology capable of dynamically generating and optimizing missile trajectory prediction and communication protocol jamming, and promptly constructing and executing appropriate countermeasures according to changes in the situation.

Background Art

[0003] Conventional missile defense systems mainly rely on pre-defined AI algorithms or rule-based systems. These systems provide fixed countermeasures against specific threats based on a large amount of past data, but the responses based on fixed algorithms have limitations in adapting to unexpected threats and new tactics, and it is difficult to generate countermeasures in real-time. In the present invention, an "ensemble learning" technology that integrates Generative AI and multiple AI models is adopted to improve the accuracy and immediacy of dynamically generated defense measures. Ensemble learning mainly focuses on Generative AI, where pre-trained deep learning models, reinforcement learning models, rule-based models, etc. play complementary roles, and each model analyzes different features to respond to various threats of enemy missiles. This technology significantly improves the adaptability to irregular trajectories and advanced electronic jamming. Through ensemble learning, multiple AI models simultaneously analyze threats, and the optimal countermeasure generated by each model is selected and executed. Furthermore, the flexible learning capabilities of the generating AI allow the ensemble learning to continuously adapt to the situation in real time. As a result, this invention provides an autonomous missile defense system that combines rapid response and defensive accuracy.

[0004] In particular, conventional AI struggles to cope when enemy missiles follow highly irregular trajectories or employ sophisticated jamming techniques such as electronic jamming and frequency hopping. Existing AI relies on historical data and pre-configured settings to improve prediction accuracy, and therefore may not be able to build adequate defensive responses against dynamically generated attack methods or real-time trajectory changes.

[0005] On the other hand, generative AI technology has the ability to generate new data patterns and adaptive countermeasures in response to the threat situation. Using this technology, it becomes possible to make real-time tactical changes and respond flexibly to diverse attack methods, which was not possible with conventional AI. Generative AI has the ability to analyze new attack scenarios and irregular missile trajectories and immediately generate defensive measures and electronic jamming signals, thereby dramatically improving the readiness and flexibility of defense systems.

[0006] This invention provides a system that utilizes real-time data generation and analysis by generative AI to perform threat prediction, trajectory correction, dynamic generation of electronic jamming, and communication jamming in missile defense. This technology enables rapid and autonomous defensive responses that surpass conventional AI technologies, and can be an extremely effective defensive measure in today's complex and sophisticated threat environment. [Prior art documents] [Patent Documents]

[0007] [Patent Document 1] Public Relations for Patent No. 6280430 [Patent Document 2] Public Relations for Patent No. 4932908 [Overview of the Initiative] [Problems that the invention aims to solve]

[0008] Conventional missile defense systems rely on fixed AI algorithms and pre-configured rules, making it difficult for them to respond quickly to unconventional enemy attacks and new tactics. In particular, when the enemy employs sophisticated frequency hopping or communications jamming, conventional systems struggle to generate immediate countermeasures. This can lead to delays in responding to sudden changes in missile trajectories or irregular flight patterns, increasing the risk of interception failure.

[0009] Furthermore, a challenge with conventional defense systems is their inability to efficiently respond to multiple threats when different types of threats occur simultaneously. If an enemy launches multiple missiles at the same time or employs complex electronic jamming, conventional, fixed defense systems may not be able to respond flexibly, potentially reducing the success rate of interception.

[0010] To address these challenges, the present invention aims to improve the responsiveness and flexibility of missile defense by providing a missile defense system that utilizes generative AI to perform dynamic analysis and generate defensive measures in real time. [Means for solving the problem]

[0011] This invention provides a system that generates optimal defensive measures in real time without relying on conventional AI, by using a generative AI. The generative AI instantly analyzes the communication signals, flight data, and guidance patterns emitted by enemy missiles, and dynamically generates appropriate jamming signals and adjusts the interception trajectory based on this analysis. This dynamic generation function enables immediate response to complex threats that were difficult to address with conventional technology. Furthermore, this system possesses strategic value in the fields of national security and defense, and its rapid and dynamic responses generated by AI will strengthen the defense and deterrence capabilities of our forces. For this reason, maintaining secrecy through cooperation with defense agencies is expected.

[0012] Furthermore, the system of the present invention enables "simultaneous response to multiple threats" using a generative AI. Even when multiple missiles are launched, the generative AI individually analyzes the trajectory and characteristics of each missile and immediately generates the optimal interception strategy for each. This makes it possible for the system to autonomously execute the most effective defensive response even in the event of simultaneous attacks or complex electronic warfare situations.

[0013] Furthermore, this system features a continuous learning function for its generative AI, allowing it to adapt to new enemy tactics and patterns. The system's generative AI continuously learns from the data obtained during interception and jamming operations, which helps improve the accuracy of defenses in subsequent operations. As a result, the system can always provide the optimal defensive measures in response to the latest threat intelligence, thus maintaining effective defenses over the long term. [Effects of the Invention]

[0014] The missile defense system utilizing the generative AI according to the present invention enables the generation of dynamic defense measures that do not rely on conventional AI technology. As a result, even when enemy missiles take irregular trajectories that are difficult to deal with using conventional fixed defense measures, or when they perform unpredictable frequency hopping, the system can immediately and autonomously generate and execute appropriate defense measures. Furthermore, this invention can become a strategic asset with extremely high confidentiality from the perspective of national defense. Flexible defensive responses generated by AI will strengthen the defense and deterrence capabilities of one's own forces and provide a new deterrent effect against attacks from the enemy.

[0015] The generating AI has the capability to analyze each threat individually and generate the most effective interception or jamming measures in real time, even in complex combat environments where multiple missiles and electronic jamming devices are deployed simultaneously. This allows it to respond to simultaneous attacks and improves the overall responsiveness and flexibility of the defense system. This increased responsiveness is expected to dramatically improve the success rate of interceptions.

[0016] Furthermore, by utilizing the continuous learning capabilities of the generative AI, the defense system of the present invention can sequentially learn combat data and continuously improve its defensive capabilities. As a result, even if the enemy introduces new attack methods or adopts unprecedented flight patterns, the generative AI can immediately generate new countermeasures, thus maintaining a high level of defensive effectiveness over the long term. This AI-driven defense system is a highly classified technology in the fields of national security and defense, and its confidentiality must be ensured, especially through cooperation with defense agencies.

[0017] Furthermore, this system can generate and transmit highly accurate and dynamic jamming signals using generative AI, thereby directly interfering with enemy missile communications and guidance protocols. Compared to conventional AI technology, signal generation by generative AI is more flexible and accurate, increasing the effectiveness of neutralizing enemy communications and preventing them from reaching their targets.

[0018] Overall, by utilizing generative AI, this invention achieves flexibility and autonomy that surpasses conventional fixed-algorithm-based systems, providing an extremely effective solution for defending against increasingly sophisticated threats. Furthermore, by leveraging the characteristics of generative AI to generate optimal interception measures in real time, it ensures rapid response to multiple threats simultaneously, and is expected to have a significant impact as part of future defense systems. [Brief explanation of the drawing]

[0019] [Figure 1] This is an overall system configuration diagram of a missile defense system utilizing the generation AI according to the present invention. [Figure 2] This is a flowchart in the generation of dynamic defense strategies using the generative AI of the present invention.

Embodiments for Carrying Out the Invention

[0020] The present invention mainly comprises a processor equipped with generative AI, a missile detection module incorporating a plurality of sensors, a control unit for performing communication jamming and intercept operations, and a communication analysis and jamming module responsible for dynamic signal generation.

[0021] The generative AI-equipped processor has the ability to analyze the trajectories and communication signals of enemy missiles in real time. Thereby, it instantly analyzes the frequencies emitted by each missile, encrypted communications, flight data, etc., and generates on-the-spot defense strategies. This generative AI does not rely on past learning data and automatically generates optimal countermeasures immediately based on the current threats, making it extremely flexible compared to conventional defense systems.

[0022] The missile detection module is composed of a radar, an infrared sensor, a sound wave sensor, and also an eavesdropping device for communication data, and is responsible for detecting the launch, approach, and guidance status of enemy missiles in real time. This detection module immediately transmits the collected data to the generative AI processor, assisting the generative AI to construct optimal intercept and communication jamming strategies according to the situation.

[0023] The communication analysis and jamming module transmits the jamming signals generated by the generative AI and interferes with the guidance system and communication protocol of enemy missiles. The generative AI analyzes the frequency hopping pattern and encryption method of enemy missiles and dynamically generates jamming signals based on this. Through this process, the generative AI disrupts the enemy's guidance system and prevents the accurate guidance of missiles.

[0024] The control unit activates interceptor missiles and laser interceptor systems based on the interception and jamming strategies generated by the generating AI, thereby neutralizing enemy missiles. Interception is achieved at the optimal timing and method, responding immediately to the AI's generation of defensive strategies. This allows the generating AI to create individual interception strategies for each threat, enabling simultaneous responses even when multiple enemy missiles attack simultaneously.

[0025] The AI ​​generation system of this invention learns new data each time it performs detection and interception, and uses this information to generate subsequent defensive measures. This continuous learning function allows the defense system to improve its accuracy over time, enabling it to respond immediately to missiles with unpredictable tactics and new technologies.

[0026] The AI-powered missile defense system of the present invention autonomously generates and executes defensive measures, responding flexibly and immediately without relying on external operations or existing data, thereby enabling advanced defense that surpasses conventional technologies. This ensures sustained and stable defensive performance even in complex electronic warfare environments. [Examples]

[0027] Example 1: Defense against simultaneous missile attacks In this embodiment, we assume a scenario in which the enemy launches multiple missiles simultaneously, and each missile has a different flight pattern and a communication system that uses frequency hopping. In such a situation, the generation AI-equipped missile defense system of the present invention tracks each missile individually in real time and generates the optimal interception means and jamming measures for each.

[0028] The generating AI instantly analyzes the operating patterns and communication signals of each missile and instructs the control unit to activate individual interceptor missiles and laser systems in response to multiple threats. This simultaneous response capability allows for immediate response to attacks by multiple missiles, dramatically improving the success rate of defense. In addition, the generating AI can dynamically generate jamming signals as needed and directly interfere with the guidance systems of each missile to cause them to deviate from their targets. Example 2: Interception of a missile with an irregular flight pattern

[0029] In this embodiment, we assume a scenario in which the enemy missile exhibits a highly irregular flight pattern, making interception difficult. The generating AI tracks the missile's trajectory in real time, generates multiple predicted trajectories based on the flight data, and immediately constructs an interception strategy.

[0030] The generating AI updates its trajectory predictions whenever the flight pattern changes, selecting the most suitable interception timing and angle. This dynamic response enables highly accurate interception even of missiles with irregular trajectories, which was difficult for conventional AIs. Furthermore, because the control unit executes interception operations according to the generating AI's predictions, it can track and shoot down missiles even if they perform complex evasive maneuvers. Example 3: Misguiding of missiles through electronic jamming and communication interception

[0031] In this embodiment, we assume a scenario where enemy missiles use advanced communication encryption and frequency hopping for guidance. The AI-powered generation system instantly analyzes the enemy missile's communication signals, decrypts them, identifies the frequency patterns, and then performs communication jamming and generates false signals.

[0032] The false signals generated by the generative AI can send incorrect instructions to missiles, causing them to move away from their targets or become uncontrollable. This method makes it possible to neutralize missiles electronically without using physical interception measures. In this scenario, the generative AI dynamically analyzes frequency hopping patterns and encryption methods, allowing for immediate response even if the enemy uses advanced communication technology. Example 4: Continuous learning and updating of countermeasures against new missiles

[0033] In this embodiment, we consider a scenario in which the enemy introduces a new type of missile and attempts to attack using unprecedented flight patterns and new countermeasures. The generated AI sequentially learns new data collected during combat and incorporates it into future defensive measures.

[0034] The continuous learning function of the generative AI improves the accuracy of intercepting new missiles over time, enhancing the overall performance of the defense system. This learning function provides a foundation for autonomously adapting countermeasures to future threats, supporting the generative AI in constantly generating the latest defensive measures necessary for defense. Furthermore, by applying the learning data of the generative AI to future updates of the defense system, it is possible to maintain a very high level of defense capability in the long term. [Industrial applicability]

[0035] The missile defense system utilizing the generative AI according to the present invention is expected to have applications not only as a defense technology but also in various industrial fields. The real-time analysis capabilities, complex pattern generation, and flexible countermeasure construction characteristics of the generative AI will demonstrate high industrial value in a wide range of fields, not just military applications.

[0036] First, in the defense industry, the dynamic analysis capabilities of generative AI enable the provision of flexible and highly responsive defense systems that surpass conventional static defense systems. This overcomes the vulnerabilities inherent in conventional air defense systems and enables effective defense against increasingly diverse missile threats. Furthermore, the advanced jamming technology of generative AI is expected to bring about significant advancements in the field of electronic warfare technology. Dynamic jamming technology utilizing generative AI can be applied to interfering with enemy communication infrastructure and electronic warfare systems, making it an effective tool for improving the readiness and security of military operations.

[0037] Furthermore, the technology of this invention can also be utilized in the private aerospace industry. The real-time flight data analysis capabilities of the generating AI can be applied to anomaly detection and dynamic generation of avoidance paths during flight, contributing to improved safety for aircraft and space probes. It can also be applied to inter-satellite communication and data analysis in space, enabling safe operation in space by analyzing anomaly data and performing real-time data correction.

[0038] The generative AI technology of this invention is also expected to have applications in the field of cybersecurity. By utilizing advanced data analysis and real-time countermeasure generation by generative AI, it becomes possible to construct an immediate defense and counterattack system against cyberattacks. For example, by automatically analyzing the attacker's protocol and generating appropriate defense measures in real time, cyberattacks can be effectively neutralized. Furthermore, by utilizing the continuous learning function of generative AI, it is possible to flexibly adapt to the ever-evolving patterns of cyberattacks.

[0039] Furthermore, this invention can be applied to fields such as autonomous vehicles and industrial robots. The generating AI can analyze data obtained during driving in real time and generate dynamic avoidance routes according to road conditions and obstacles. This is expected to significantly improve the safety of autonomous driving technology and reduce the risk of accidents. Similarly, in industrial robots, it is expected that work efficiency and safety will be improved by judging the situation in real time and generating the optimal operation pattern.

[0040] The system utilizing the generative AI of this invention can also be operated using a cloud-based subscription model. This model allows users to always have access to the latest generative AI models and defense strategy generation algorithms, and facilitates system updates. Such a subscription model can enable expanded use not only in the defense sector but in all industries, and can be a factor in promoting the widespread adoption of generative AI technology.

[0041] Overall, the AI-powered missile defense system of the present invention not only provides a foundation for next-generation defense and electronic warfare technologies, but also has applicability in diverse fields such as aerospace, cybersecurity, autonomous driving, and robotics, providing sustainable value across a wide range of industrial sectors.

Claims

1. A missile defense system that uses a processor equipped with generative AI to analyze the trajectory and communication signals of enemy missiles in real time and generate optimal defensive measures based on ensemble learning.

2. A missile defense system according to claim 1, characterized in that the generating AI processor has a function to interfere with the guidance system of an enemy missile by analyzing the frequency hopping pattern of the enemy missile and dynamically generating jamming signals.

3. A missile defense system according to claim 1 or 2, characterized in that it has a function to individually track each missile in response to multiple missile attacks and simultaneously generate and execute the optimal interception strategy.

4. A missile defense system according to any one of claims 1 to 3, characterized in that the generating AI has a function to seize communication control of enemy missiles by dynamically analyzing the enemy's communication protocol and generating jamming signals or false signals.

5. A missile defense system according to any one of claims 1 to 4, characterized in that it includes a function to move enemy missiles away from their target or misdirect them by generating jamming signals using a generating AI.

6. A missile defense system according to any one of claims 1 to 5, characterized in that the generating AI has a function to sequentially learn combat data and automatically generate defensive measures to respond to new missile flight patterns and jamming means.

7. A missile defense system according to any one of claims 1 to 6, characterized in that the generating AI has a function to predict the trajectory of enemy missiles in real time and optimize the timing and angle of interception.

8. A missile defense system according to any one of claims 1 to 7, characterized in that a generating AI integrates and analyzes data collected by multiple sensors and generates an immediate interception strategy based on the position and speed of an enemy missile in flight.

9. A missile defense system according to any one of claims 1 to 8, characterized in that the control unit has a function to neutralize enemy missiles by activating interceptor missiles or laser interceptors based on defense measures generated by a generating AI.

10. A missile defense system according to any one of claims 1 to 9, characterized in that the jamming signals or false signals generated by the generating AI can be updated via a cloud-based subscription model.

11. A missile defense system according to any one of claims 1 to 10, characterized in that it has a function to generate multiple defense measures according to different threat levels and to select and execute the optimal countermeasure.

12. A missile defense system according to any one of claims 1 to 11, characterized in that multiple AI models (generative AI, deep learning model, reinforcement learning model, etc.) obtained through ensemble learning cooperate to analyze enemy missile trajectories and communication patterns, and the generative AI integrates these analysis results to select and execute the optimal defense measure.

13. A missile defense system according to any one of claims 1 to 12, characterized in that, as a component of the ensemble learning, a plurality of AI models sequentially learn and have a function to update defensive measures to adapt to enemy tactics and new means of attack.

Images