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The array invariant.

Sunwoong Lee¹, Nicholas C Makris

¹Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, Massachusetts 02139, USA. sunwoong@mit.edu

The Journal of the Acoustical Society of America

|February 4, 2006

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This study presents a new method for real-time acoustic source range estimation in ocean waveguides. The technique requires minimal environmental knowledge and offers computational efficiency for underwater acoustics.

Area of Science:

Ocean acoustics
Underwater acoustics
Signal processing

Background:

Accurate source localization is crucial for underwater acoustic applications.
Existing methods like matched field processing have limitations in computational cost and environmental knowledge requirements.
Passive acoustic array measurements offer a viable data source for source localization.

Purpose of the Study:

To develop a computationally efficient and environmentally independent method for instantaneous source-range estimation.
To leverage passive beam-time intensity data from acoustic array measurements.
To improve upon existing source localization techniques in horizontally stratified ocean waveguides.

Main Methods:

Derivation of a novel method for source-range estimation.

Related Experiment Videos

Application of conventional plane-wave beamforming to acoustic array measurements.

Analysis of passive beam-time intensity data.

Main Results:

The method provides instantaneous source-range estimates.
It requires minimal environmental knowledge, only excluding purely waterborne propagation.
Real-time estimation with low computational effort is achieved.
The method effectively exploits array gain.
Successful application to experimental data for ranges between 1 to 8 km.

Conclusions:

The developed method offers a simple, accurate, and computationally efficient solution for source-range estimation in ocean waveguides.
It presents a significant advantage over traditional methods for passive acoustic localization.
The technique is robust and applicable to real-world experimental data.