A High-Efficiency Side-Scan Sonar Simulator for High-Speed Seabed Mapping

Area of Science:

• Oceanography
• Acoustic Sensing Technologies
• Marine Engineering

Background:

• Side scan sonar (SSS) is crucial for ocean sensing but faces research challenges due to environmental complexity and engineering hurdles.
• Existing open-source sonar simulators are outdated, lacking computational efficiency and high-speed mapping capabilities essential for modern SSS technology.

Purpose of the Study:

• To develop an improved sonar simulator addressing the limitations of current technologies.
• To enhance the efficiency and accuracy of sonar simulation for research and development.

Main Methods:

• A novel two-level network architecture with flexible task scheduling and data organization.
• An echo signal fitting algorithm utilizing a polyline path model for accurate propagation delay under motion deviation.
• A modeling simplification algorithm with a new energy function to optimize large-scale virtual seabed simulation.

Main Results:

• The developed simulator demonstrates superior computational efficiency for large-scale virtual seabeds.
• The polyline path model accurately captures backscattered signal propagation delays, even with high-speed motion.
• Validation against experimental results confirms the simulator's practical application value.

Conclusions:

• The new sonar simulator effectively addresses the limitations of existing tools.
• It provides a valuable platform for guiding SSS development, fault diagnosis, and high-speed mapping research.
• The optimized algorithms enhance simulation performance and accuracy in complex underwater scenarios.