METHOD OF PASSIVE ACOUSTIC DEPTH DETERMINATION IN SHALLOW WATER

• US 20150098306A1
• Filed: 10/07/2014
• Published: 04/09/2015
• Est. Priority Date: 10/08/2013
• Status: Active Grant

• Current Assignee: The Government Of The United States Of America, As Represented By The Secretary Of The Navy
• Original Assignee: Altan Turgut, Laurie T. Fialkowski
• Inventors: TURGUT, Altan, FIALKOWSKI, Laurie T.
• Granted Patent: US 9,880,305 B2
• Time in Patent Office: Days
• US Class Current: 367/131
• CPC Class Codes: G01V 1/38 specially adapted for water-covered areas G01V1/28 takes precedence

Abstract

A method of acoustic depth determination in shallow water. At least one standard acoustic sensor located below an ocean thermocline is provided. The at least one acoustic sensor operates at a first frequency regime and at a second frequency regime. The first frequency regime is above a cut-off frequency. The second frequency regime is below the cut-off frequency. Acoustic data from a moving broadband noise source is recorded at the at least one acoustic sensor. A plot of acoustic intensity as a function of frequency versus time is generated from the acoustic data. A first waveguide invariant density distribution for the first frequency regime and a second waveguide-invariant density distribution for the second frequency regime is generated from the plot using curve detection. Whether the noise source is located below the thermocline is classified based on the first and second waveguide-invariant density distributions.

Claims

1. A method comprising:

providing at least one acoustic sensor located in an ocean layer below an ocean thermocline, the at least one acoustic sensor operating at a first frequency regime and at a second frequency regime, the first frequency regime being above a cut-off frequency of the ocean layer, the second frequency regime being below the cut-off frequency of the ocean layer;

recording acoustic data from a moving broadband noise source at the at least one acoustic sensor;

generating a plot of acoustic intensity as a function of frequency versus time from the acoustic data;

generating a first waveguide invariant density distribution for the first frequency regime and a second waveguide-invariant density distribution for the second frequency regime from the plot using curve detection; and

classifying whether the noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution.

2. The method according to claim 1, wherein said classifying whether a noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution comprises:

generating a Receiver Operating Characteristics curve from the first waveguide-invariant density distribution and the second waveguide-invariant density distribution; and

classifying whether the noise source is located below the thermocline based on the Receiver Operating Characteristics curve.

3. The method according to claim 1, wherein the at least one acoustic sensor comprises one of a plurality of distributed sensors and a horizontal sensor array.

4. The method according to claim 3, wherein the horizontal sensor array is towed by one of a submarine, a ship, and an automated underwater vehicle.

5. The method according to claim 1, wherein the curve detection comprises one of a Radon transform and a Hough transform.

6. The method according to claim 1, wherein the thermocline is located in a body of water on at least one continental shelf.

7. The method according to claim 1, wherein the first waveguide-invariant density distribution comprises a first waveguide-invariant density distribution peak and the second waveguide-invariant density distribution comprises a second waveguide-invariant density distribution peak,

wherein said classifying whether the noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution comprises assessing a proximity of the first waveguide-invariant density distribution peak to the second waveguide-invariant density distribution peak.

8. A method comprising:

providing at least one first acoustic sensor located in an ocean layer above an ocean thermocline and at least one second acoustic sensor located in the ocean layer below the ocean thermocline, the at least one first acoustic sensor and the at least one second acoustic sensor operating at a same frequency regime, the frequency regime being above a cut-off frequency of the ocean layer below the ocean thermocline;

recording acoustic data from a moving broadband noise source at the first acoustic sensor and at the second acoustic sensor;

generating plots of acoustic intensity as a function of frequency versus time from the acoustic data;

generating a first waveguide-invariant density distribution for the first acoustic sensor and a second waveguide-invariant density distribution for the second acoustic sensor from the plots using curve detection; and

classifying whether the noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution.

9. The method according to claim 8, wherein said classifying whether a noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution comprises:

generating a Receiver Operating Characteristics curve from the first waveguide-invariant density distribution and the second waveguide-invariant density distribution; and

classifying whether the noise source is located below the thermocline based on the Receiver Operating Characteristics curve.

10. The method according to claim 8, wherein at least one of the at least one first acoustic sensor and the at least one second acoustic sensor comprises one of a plurality of distributed sensors and a horizontal sensor array.

11. The method according to claim 10, wherein the horizontal sensor array is towed by one of a submarine, a ship, and an automated underwater vehicle.

12. The method according to claim 8, wherein the curve detection comprises one of a Radon transform and a Hough transform.

13. The method according to claim 8, wherein the thermocline is located in body of water on at least one continental shelf.

14. The method according to claim 8, wherein the first waveguide-invariant density distribution comprises a first waveguide-invariant density distribution peak and the second waveguide-invariant density distribution comprises a second waveguide-invariant density distribution peak,

wherein said classifying whether the noise source is located below the thermocline based on the first waveguide-invariant density distribution and the second waveguide-invariant density distribution comprises:

assessing a proximity of the first waveguide-invariant density distribution peak to the second waveguide-invariant density distribution peak.