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Detection in reverberation using space time adaptive prewhiteners.

Wei Li, Xiaochuan Ma, Yun Zhu

The Journal of the Acoustical Society of America

|December 10, 2008

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This study introduces a new space-time adaptive prewhitener to improve target detection in active sonar systems. The novel method enhances target separation from reverberation, boosting detection performance in challenging underwater environments.

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Area of Science:

Underwater acoustics
Signal processing
Sonar systems

Background:

Moving platform active sonar systems face challenges detecting targets within reverberation.
Reverberation, characterized by spatial distribution and Doppler spread, obscures target signals.

Purpose of the Study:

To present a novel space-time adaptive prewhitener for reverberation suppression.
To enhance target detection in active sonar by improving target-reverberation separation.

Main Methods:

Developed a novel space-time adaptive prewhitener utilizing a two-dimensional autoregressive model.
Jointly processed received data in both angle and Doppler domains.
Integrated the prewhitener into a sonar detection system.

Main Results:

The proposed space-time adaptive prewhitener effectively separates targets from reverberation.
Demonstrated improved target detection performance compared to existing methods.
Showcased superior performance in reverberation backgrounds containing target echoes.

Conclusions:

The novel space-time adaptive prewhitener offers a significant advancement for active sonar systems.
This method provides enhanced target detection capabilities in complex reverberation conditions.
The approach is valuable for improving the reliability of sonar systems in operational environments.