Drone Detection Using Smart Sensors is an Embry-Riddle Aeronautical University Master’s Thesis by Aishah Moafa.
Advanced drones are, many times, difficult to detect, and hence they, sometimes, can be life-threatening. Currently, most detection methods are based on video, sound, radar, temperature, radio frequency (RF), or Wi-Fi techniques. However, each detection method has several flaws that make them imperfect choices for drone detection in sensitive areas. Our aim is to overcome the challenges that most existing drone detection techniques face. In this thesis, we propose two modeling techniques and compare them to produce an efficient system for drone detection. Specifically, we compare the two proposed models by investigating the risk assessments and the probability of success for each model.
Publication Date- April 2020
Drone Detection Using Smart Sensors contains the following major sections:
- Drone Detection and Monitoring Methods
- Proposed Drone Detection Systems
- Conclusion and Future Research
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Author: Aishah Moafa
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