Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

Area of Science:

• Acoustics
• Signal Processing
• Image Processing

Background:

• Passive acoustic target detection is crucial for identifying underwater objects.
• Azimuth recording diagrams offer promising signal direction estimation but suffer from noise interference.
• Existing methods face limitations in reliability and effective detection range due to ambient noise.

Purpose of the Study:

• To develop a real-time postprocessing framework for passive acoustic target detection.
• To enhance the reliability and tracking performance of azimuth recording diagrams.
• To overcome the challenges posed by random ambient noise in acoustic detection.

Main Methods:

• Utilizing a sonar array for passive acoustic data acquisition.
• Implementing image processing techniques for automated target detection and tracking.
• Developing a real-time postprocessing framework applied to azimuth recording diagrams.

Main Results:

• The proposed framework significantly improves the reliability of passive acoustic target detection.
• Automated target detection and tracking on azimuth recording diagrams were successfully demonstrated.
• The approach maintains effectiveness under real-time tracking constraints.

Conclusions:

• The developed framework offers a robust solution for passive acoustic target detection in noisy conditions.
• Image processing integration enhances the performance of azimuth recording diagrams.
• This method is suitable for real-time applications requiring reliable target tracking.