Real-Time Detection of Small Unmanned Aerial Vehicles Using a Bio-Inspired MEMS Sensor is a Naval Postgraduate School thesis by Rafael Alberto Pereira Cruz.
Microelectromechanical systems (MEMS) sensors inspired by Ormia Ochracea can be strategically arranged to discern the direction of the incident sound, known as the direction of arrival (DoA). Previous research findings suggest that unambiguous DoA determination is achievable across a full 360 degrees in azimuth. While analog readouts have been accomplished using laboratory instruments, this study aimed to develop, construct, and test a circuit configuration encompassing the MEMS sensor’s housing and power. Additionally, a graphical user interface (GUI) was designed to read the DoA from an array of sensors and triangulate the position of a multi-rotor small UAV using GPS position data.
Field tests were conducted using a two-node configuration to detect a small rotor UAV, with the operational scenario displayed on a map. This innovative configuration can detect sound from any discernible source and provide the coordinates of the sound source.
Publication Date– June 2023
Real-Time Detection of Small Unmanned Aerial Vehicles Using a Bio-Inspired MEMS Sensor contains the following major sections:
- Introduction
- Literature Review
- Real-time Detection of a UAV
- Results
- Conclusions
Approved for public release. Distribution is unlimited.
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Author- Rafael Alberto Pereira Cruz
See Also-
Post Image- AI-generated micromechanical system (Image Credit: Adobe Stock by Oleksandr)
