Multi-Sensor UAV Tracking With Countermeasure Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The anonymous nature of unmanned aerial vehicles (UAVs) poses challenges in ensuring airspace safety and accountability in critical locations, as they can compromise security and pose risks due to their unregulated presence.
Innovation Solution
A system utilizing a plurality of sensors, including video, audio, Wi-Fi, and RF sensors, to detect, identify, track, and manage UAVs, with portable countermeasure devices to disrupt unauthorized UAVs, and a central system for data processing and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed to detect and identify UAVs, then detection capability and identification accuracy are improved, but device complexity and cost increase
Solution Approach 1:
The system divides the detection task into multiple specialized sensor modules (video sensors for visual detection, audio sensors for noise detection, RF sensors for communication signal detection, Wi-Fi sensors for network signal detection). Each sensor type targets specific UAV characteristics, improving overall detection accuracy while allowing independent optimization of each sensor module
Solution Approach 2:
The central system serves multiple functions: it receives data from all sensor types, processes the information, identifies UAVs, tracks their positions, and coordinates countermeasure devices. This multi-functional approach consolidates complexity into a single processing platform rather than requiring separate systems for each function
2Reliability
If portable countermeasure devices are used to disrupt unauthorized UAVs, then airspace security is improved, but device complexity and operational complexity increase
Solution Approach 1:
The central system acts as an intermediary between the detection sensors and the countermeasure devices. It receives detection data, processes it to identify unauthorized UAVs, determines appropriate countermeasures, and transmits control signals to the portable devices. This mediator approach simplifies the operation of countermeasure devices while maintaining high security reliability
Solution Approach 2:
The system implements a feedback loop where countermeasure device status and effectiveness are monitored and reported back to the central system. This allows real-time adjustment of countermeasure strategies and ensures that security actions are effective while minimizing unnecessary complexity in device operation
3Reliability
If real-time monitoring and tracking of UAVs is implemented, then airspace safety is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system merges multiple data streams from different sensor types (video, audio, RF, Wi-Fi) into a unified tracking framework at the central system. By combining these diverse data sources and processing them through a single platform, the system achieves comprehensive real-time monitoring while avoiding the complexity of multiple independent processing systems
Solution Approach 2:
The central system creates and maintains digital representations (copies) of UAV positions, trajectories, and characteristics based on sensor data. These digital models allow for efficient tracking, prediction, and analysis without requiring direct manipulation of raw sensor data from multiple sources, reducing processing complexity while maintaining safety
Data Source
AI summary
Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can identify an object in a particular airspace as a UAV based on sensor data associated with the object. A countermeasure device can generate one or more disruption signals toward the UAV. The tracking system can track and monitor the UAV based on additional sensor data.