Reverberation reduction based on multi-ping association in a moving target scenario.

Area of Science:

• Signal Processing
• Acoustics
• Underwater Acoustics

Background:

• Conventional reverberation reduction methods often rely on single-ping data, limiting performance in low signal-to-reverberation ratio (SRR) conditions.
• Reverberation in acoustic systems can be decomposed into steady and fluctuating components, each posing unique challenges for signal processing.

Purpose of the Study:

• To develop an advanced reverberation reduction technique that leverages multi-ping data for enhanced performance.
• To effectively mitigate both steady and fluctuating components of reverberation in acoustic signals.

Main Methods:

• A novel method is proposed that treats reverberation as a combination of steady and fluctuating parts.
• The alternating direction multiplier method is employed to reduce the steady component of reverberation.
• Probabilistic data association is utilized to reduce reverberation fluctuations by analyzing target location evolution across multiple pings.

Main Results:

• The proposed multi-ping method demonstrates significant improvements over existing techniques like the accelerated proximal gradient method.
• Sparse coefficients are improved by a factor of 1.23.
• Signal excess is enhanced by an average of 2.0 dB, indicating superior signal detection capabilities.

Conclusions:

• The proposed method effectively reduces reverberation by addressing both steady and fluctuating components using multi-ping data.
• Performance is strongly correlated with the signal-to-reverberation-fluctuation ratio, highlighting the importance of analyzing reverberation dynamics.