Decoy Cloud Optimization for Radar Missile Defense
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Solution Overview
Problem
Existing methods for forming decoy clouds against radar-guided missiles are inefficient in optimizing the number of decoys required, often deploying too many or too few decoys, which can lead to ineffective protection due to decoy overlap or dispersion beyond the effective range.
Innovation Solution
A method that calculates the optimal number and placement of decoys based on the object's size, missile type, and environmental factors, using a decoy launch system with freely definable volleys and decoys per volley, ensuring minimum distances between decoy disintegration or detonation points to maintain effectiveness, and discarding decoys that would be ineffective.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of decoys are deployed to ensure adequate coverage, then protection reliability is improved, but resource consumption and system complexity increase
Solution Approach 1:
The system performs preliminary calculation of the optimal number and placement of decoys before deployment. The control unit calculates the required number of decoys based on the missile's position, velocity, and trajectory, as well as the protected object's characteristics, ensuring that only the necessary number of decoys are deployed to achieve effective protection without waste
Solution Approach 2:
The system dynamically adjusts the number and placement of decoys based on real-time conditions. The calculation is performed at each interception attempt, adapting to the specific missile threat (position, velocity, trajectory) and environmental conditions (wind speed, wind direction), rather than using a fixed deployment strategy
2Reliability
If decoys are deployed without optimization, then deployment speed is maintained, but protection effectiveness decreases due to overlap or dispersion
Solution Approach 1:
The control unit performs preliminary calculation of the optimal number and placement of decoys before deployment. This includes determining the interception point, calculating the required number of decoys, and specifying their exact placement positions to prevent overlap or excessive dispersion, thereby ensuring effectiveness without requiring complex post-deployment adjustments
Solution Approach 2:
The system uses feedback from sensor data about the missile's position, velocity, and trajectory to continuously optimize decoy deployment. The control unit receives real-time information about the threat and adjusts the decoy deployment strategy accordingly, creating a closed-loop system that adapts to changing conditions
3Productivity
If the number of decoys is precisely optimized, then resource efficiency is improved, but calculation time and processing requirements increase
Solution Approach 1:
The system performs preliminary calculation of the optimal number and placement of decoys before deployment based on pre-acquired data about the protected object (size, shape, radar cross-section) and real-time missile threat parameters. This allows rapid determination of the required number of decoys without extensive real-time computation during the critical interception phase
Solution Approach 2:
The system changes parameters such as wind speed and wind direction inputs to the calculation model to account for environmental conditions affecting decoy dispersion. By incorporating these parameters into the preliminary calculation, the system optimizes decoy placement for specific conditions without requiring iterative testing or complex real-time adjustments
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach optimizes the decoy cloud by ensuring only the necessary decoys are deployed at effective distances, preventing overlap and ensuring maximum protection against radar-guided missiles, thereby enhancing the defensive capability against radar-guided missiles.
Implementation Method 1
a radar apparatus, preferably the ship's own radar, irradiates the decoys. The radiation reflected from the decoys in the direction of the ARM (anti-radiation-missile)
Implementation Method 2
The threat from missiles having state-of-the-art target seeking systems operating primarily in the radar range (RF) and in the infrared range (IR)
Data Source
AI summary
A method and a device for providing a dummy target via decoy chaffs for protecting a vehicle and/or an object from radar-guided missiles. After identification of the radar-guided missile and calculation of a decoy chaff pattern, the decoy chaff pattern is presented in the form of polar coordinates in accordance with the firing of shots, a “cut-off” distance for the determination of a defence radius is then found in these polar coordinates. A minimum distance between the disassembly or detonation points within the defence radius is set. The dummy target is then optimized on the basis of the “cut-off” distance and the minimum distance between the disassembly or detonation points. As a result of this calculation, the only decoy chaffs that are deloyed are those that meet the conditions, i.e. that have a minimum distance between the disassembly or detonation points within the defence radius in the optimized dummy target.