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Vector Sensor Steering-Dependent Performance in an Underwater Acoustic Communication Field Experiment.
Fabricio A Bozzi1, Sérgio M Jesus1
1Laboratory for Robotic Systems in Engineering and Science (LARSyS), University of Algarve, 8005-139 Faro, Portugal.
Sensors (Basel, Switzerland)
|November 11, 2022
Summary
Vector sensors significantly improve underwater acoustic communication by reducing bit error rates up to 10 times compared to pressure sensors. This enhances communication robustness without increasing system size.
Area of Science:
- Underwater acoustics
- Signal processing
- Communication systems
Background:
- Traditional underwater acoustic communication relies on pressure sensors, which have limitations in directional sensing.
- Vector sensors offer directional information, potentially improving communication performance in complex acoustic environments.
- Beamforming and passive time-reversal are advanced signal processing techniques applicable to sensor data.
Purpose of the Study:
- To evaluate the performance enhancement achieved by integrating vector sensor directional components in underwater acoustic communication.
- To correlate communication performance with varying transmission directions and ranges.
- To compare the impact of vector sensor steerability using beamforming and passive time-reversal receiver structures.
Main Methods:
- Conducted a shallow water acoustic communication experiment using a bottom-fixed two-axis pressure-gradient vector sensor.
- Employed a ship-suspended acoustic source transmitting modulated communication signals.
- Tested receiver structures utilizing beamforming and passive time-reversal techniques to process vector sensor data.
Main Results:
- Demonstrated that a single vector sensor achieved an error bit rate up to 10 times lower than a conventional pressure sensor.
- Quantified the steerability benefits of vector sensor directional components in the tested receiver structures.
- Confirmed improved communication robustness without any size penalty for the vector sensor system.
Conclusions:
- Vector sensors offer a significant performance advantage for underwater acoustic communication compared to pressure sensors.
- The directional information from vector sensors enhances robustness and reduces error rates in shallow water environments.
- Combining vector sensors with beamforming or time-reversal techniques is a promising approach for advanced underwater communication.

