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Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

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Active wideband higher-order raypath separation in multipath environment.

Longyu Jiang¹, Yaping Hong¹, Philippe Roux²

¹The Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China jly@seu.edu.cn, hongyaping@126.com.

The Journal of the Acoustical Society of America

|February 3, 2017

Summary

This summary is machine-generated.

This study introduces a new method for separating underwater acoustic raypaths, effectively handling noise and improving accuracy. The advanced technique does not require more sensors than sources, offering a significant advantage in oceanographic research.

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Area of Science:

Ocean acoustics
Signal processing

Background:

Underwater acoustic signals often exhibit multiple raypaths due to reflections and refractions.
Ocean environments contain colored noise that complicates signal analysis.
Separating these complex raypaths is crucial for accurate underwater acoustic studies.

Purpose of the Study:

To propose a novel active wideband higher-order separation algorithm.
To enable the separation of raypaths corrupted by colored noise in the angle-vs-time domain.
To overcome limitations of existing methods, such as the sensor-to-source ratio requirement.

Main Methods:

Development of an active wideband higher-order separation technique.
Application of the algorithm in the angle-vs-time domain for raypath separation.
Comparative analysis against existing separation algorithms.
Numerical simulations to validate performance and noise suppression.

Main Results:

The proposed algorithm demonstrates superior accuracy in separating complex raypaths compared to other methods.
Successful separation of raypaths even when interrupted by colored ocean noise.
The method's effectiveness is validated without the constraint of having more sensors than sources.
Numerical results confirm significant noise suppression capabilities.

Conclusions:

The developed higher-order separation method offers a more accurate and robust solution for underwater acoustic raypath analysis.
This approach provides a valuable tool for oceanographic research by effectively mitigating noise interference.
The algorithm's flexibility in sensor-to-source ratios broadens its applicability in diverse underwater acoustic scenarios.