5 results about "Missile defense" patented technology

The present invention discloses a missile defense method and system, belonging to the field of missile defense technology. The present invention first allocates a corresponding candidate kill chain set to each incoming missile according to its attributes; then selects a better strike node with the goal of maximizing the total hit rate of all incoming missiles, minimizing the total weapon cost used for all incoming missiles, and ensuring the consistency of the number of weapons on the strike node for each incoming missile; selects a better reconnaissance node with the goal of maximizing the total reconnaissance time for all incoming missiles and ensuring the consistency of the number of target channels of the reconnaissance node for each incoming missile, thereby optimizing the candidate kill chain set of each incoming missile, generating a first-generation population with better performance for a subsequent genetic algorithm, avoiding the generation of local optimal solutions, and dynamically and accurately adjusting the missile allocation strategy according to the real-time situation of the incoming missile, thereby improving the utilization rate of defense resources while ensuring the interception success rate.

The utility model discloses a missile approaching simulation target missile, which belongs to the technical field of missile defense training equipment and comprises a rocket part, an empennage and a simulation combustion chamber for simulating a warhead. A simulation light source electrically connected with the rocket part is arranged in the simulation combustion chamber and used for simulating tail feathers of the ground-to-air missile. The rocket part can be connected with the tail of the simulated combustion chamber, and the empennage is rotationally connected with the tail of the rocket part through an elastic element; the simulation combustion chamber, the rocket part and the empennage can be arranged in the launching cylinder to simulate launching of a ground-to-air missile. The utility model has the advantages of simple and compact structure and low cost, and the rocket part is launched through the launch canister after being assembled with the simulated combustion chamber and the empennage; the decommissioning combustion bomb is adopted for modification, reutilization of decommissioning equipment and ammunition is achieved, the training cost is reduced, and the training effect is improved.

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.

The present invention discloses a system and method for defending against incoming missiles based on deep reinforcement learning. The system includes a model building module, a Markov decision module, a neural network creation module, a training module, a simulation verification module, and a decision module. The method comprises the following steps: first, a relative motion model of the carrier aircraft, decoy, and incoming missile is built, and a Markov decision process is established. Then, a neural network is built according to a deep reinforcement learning algorithm, and the neural network is trained using the training module to obtain a trained neural network model. The simulation verification module then uses the trained neural network model for simulation verification. Finally, based on the simulated and verified neural network model, an interference delivery plan and a carrier aircraft maneuver plan are generated to defend against incoming missiles. The algorithm of the present invention is highly efficient and has strong autonomous decision-making capabilities. It enhances the autonomous, adaptive, and intelligent decision-making capabilities of aircraft for typical scenarios, thereby improving the aircraft's battlefield survivability and penetration capabilities.

The application discloses a multilayer anti-missile cooperative combat task planning modeling method, comprising the following modeling steps: S1, an anti-missile damage area numerical modeling method based on piecewise interpolation: a1, piecewise interpolation modeling of an anti-missile vertical damage area, a2, a vertical damage area model under different air route shortcuts, S2, an anti-missile launch area and launch depth calculation model based on backstepping calculation: b1, construction of a ballistic missile motion model, b2, construction of an anti-missile interceptor trajectory model, b3, backstepping calculation of an anti-missile vertical launch area and launch area depth, S3, an anti-missile defense area calculation model based on endpoint optimization: c1, a terminal anti-missile defense area calculation model, c2, a middle anti-missile defense area calculation model, the application proposes an anti-missile damage area numerical modeling method based on piecewise interpolation, and on the basis, an anti-missile launch area and launch depth model based on backstepping calculation and an anti-missile defense area calculation model based on endpoint optimization are completed.