Low-Cost Underwater Acoustic Imaging
Marine · 2025
Project details
Sea-Gal's Ocean Enterprise Accelerator Award recognized work focused on underwater acoustic imaging systems for biofouling detection.

Unleashing the Depths of Connectivity
Sea-Gal Technologies Inc. develops underwater acoustic communication technologies and provides engineering services for underwater sensing, wireless communication, AUV and robotic platform integration, acoustic components, acoustic modems, data transmission, and ocean-acoustic signal analysis. Its work applies MIMO communication, signal processing, acoustic transducers, front-end circuits, software, and machine learning to underwater connectivity problems.
Yahong Rosa ZhengPrincipal Founder
Rong Reacky HuangCo-Founder
Engineering work focuses on high-data-rate MIMO acoustic communication, robust signal processing, coherent modulation, and underwater wireless connectivity.
Multiple transducers transmit different data streams simultaneously on the same frequency to improve underwater throughput and efficiency.
Algorithms mitigate multipath and Doppler effects for reliable signal reception in underwater conditions.
Modulation approaches such as OFDM and SCCM support spectral efficiency and robust communication links.
Integration support connects acoustic components, acoustic modems, underwater platforms, AUVs, robots, and internet access pathways.
Acoustic components are integrated into communication systems.
Acoustic modems are integrated with AUVs, robots, and other underwater platforms.
Underwater wireless data transmission is integrated with internet access.
Design work covers underwater sensing and communication systems.
Design services support underwater sensing systems and acoustic imaging applications.
Design services support underwater communication systems using acoustic technologies.
Technical analysis uses big-data methods and machine learning with ocean-acoustic signals and channel responses.
Ocean-acoustic channel responses are analyzed for communications and sensing work.
Machine-learning methods are applied to ocean-acoustic signal analysis.
Hands-on training covers acoustic modem operation and integration with AUVs and other underwater platforms.
Marine · Telecommunications · Robotics · Electronics · Software
Marine · 2025
Sea-Gal's Ocean Enterprise Accelerator Award recognized work focused on underwater acoustic imaging systems for biofouling detection.
Telecommunications · 2025 · Client: National Science Foundation
NSF SBIR/STTR funding supports Sea-Gal's research on high-data-rate MIMO underwater acoustic communications.