Counter-Drone Sensor Fusion for Precise Threat Interception
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Solution Overview
Problem
Drones are difficult to detect and intercept due to their maneuverability and ease of operation, posing a threat with payloads like cameras or improvised explosive devices, and existing systems struggle to differentiate between benign and threatening drones.
Innovation Solution
A counter drone system comprising sensor systems, a counter drone, and a processor that fuses data from multiple sensors to identify threat drones and autonomously deploy intercept strategies using kinetic or capture payloads, with networked communication for rapid response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data fusion and autonomous deployment are implemented, then detection precision and response effectiveness are improved, but device complexity increases
Solution Approach 1:
The system divides the counter-drone functionality into separate modular components: sensor systems for detection, data fusion algorithms for analysis, and autonomous deployment mechanisms for response. This segmentation allows each module to be optimized independently while maintaining overall system precision without proportionally increasing complexity.
Solution Approach 2:
The counter-drone system is designed with multi-functional capabilities that can detect, track, and intercept multiple types of drone threats using a unified platform. The sensor suite and deployment mechanisms serve multiple purposes, reducing the need for separate specialized systems and thereby limiting complexity growth despite enhanced detection precision.
2Difficulty of detecting and measuring
If multiple sensor systems are integrated for data fusion, then detection capability is improved, but device complexity increases
Solution Approach 1:
Multiple sensor systems (radar, acoustic, optical, RF) are merged into a unified detection network that shares processing resources and communication infrastructure. The data fusion algorithm integrates inputs from all sensors to create a comprehensive target picture, improving detection capability while avoiding the complexity of fully independent sensor systems through shared architecture.
3Speed
If autonomous deployment with rapid response is implemented, then response speed is improved, but device complexity increases
Solution Approach 1:
The counter-drone is pre-positioned in standby mode with pre-configured intercept trajectories and engagement parameters. When a threat is detected and confirmed through data fusion, the autonomous system immediately activates pre-programmed response sequences, achieving rapid response without the complexity of real-time decision-making algorithms for every parameter.
Data Source
AI summary
The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.