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Omnidirectional passive acoustic identification tags for underwater navigation
Aprameya Satish1, David Trivett1, Karim G Sabra1
1School of Mechanical Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, Georgia 30332, USAaprameya.satish@gatech.edu, david.trivett@gatech.edu, karim.sabra@me.gatech.edu.
The Journal of the Acoustical Society of America
|July 3, 2020
Summary
Researchers developed passive acoustic identification (AID) tags for underwater navigation. These tags use unique acoustic reflections as "bar-codes," enabling reliable identification regardless of orientation.
Area of Science:
- Acoustics
- Materials Science
- Robotics & Control
Background:
- Passive acoustic identification (AID) tags are crucial for underwater navigation and object recognition.
- Existing methods may face limitations in orientation-independent identification.
- The need for robust, passive systems for underwater acoustic tagging is growing.
Purpose of the Study:
- To introduce a novel class of passive acoustic identification (AID) tags with curved symmetry.
- To demonstrate their capability for orientation-independent underwater navigation.
- To establish a method for engineering unique acoustic responses for identification.
Main Methods:
- Design of AID tags using radially stratified shells with curved symmetry.
- Utilizing monostatic configuration for backscattering unique specular reflection patterns.
- Numerical prediction of acoustic response in the high-frequency regime assuming horizontally stratified layers.
- Experimental validation using scaled 3D printed hemispherical shells.
Main Results:
- AID tags generate unique specular reflection patterns, functioning as acoustic bar-codes.
- The acoustic response is independent of incidence orientation in a monostatic setup.
- The specular component of the AID tag's response can be accurately predicted numerically.
- Scaled experiments successfully demonstrated the principles with 3D printed shells.
Conclusions:
- The presented AID tags offer a robust solution for orientation-independent underwater acoustic identification.
- The design allows for unique signature engineering through material properties and shell thicknesses.
- Numerical prediction provides a reliable tool for designing and understanding AID tag performance.
- This technology holds promise for advancing underwater navigation and tracking systems.

