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ments of acoustic velocity and pressure ce localization using acoustic intensit Literature Survey Presentation Khalid Miah MD-DSP 05/05/05

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Page 1: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

Measurements of acoustic velocity and pressure vectorsin source localization using acoustic intensity sensor

Literature Survey Presentation Khalid Miah

MD-DSP05/05/05

Page 2: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

INTRODUCTION

• Estimation of DOA (direction of arrival) of a single source using vector natured Acoustic intensity measurements

• MSAE (Mean Square Angular Error)

• Free Space and Reflecting boundary case

Page 3: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

• Statistical Distributions of acoustic quantities are independent of the shape of the room boundaries and arrangements [Budhianto & Hixson,1996]

• Traditional Acoustic intensity measurements using scalar sensors is ineffective in terms of source localization

Statistical Distributions of Fundamental AcousticQuantities (Pressure/Particle velocity/Intensity)

Page 4: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

Single-Source Single Vector sensor measurements for DOA estimation in Free Space

• 4-D Intensity Based Algorithm [ Nehorai & Paldi, 1994]

- Key Assumptions: Plane wave at the sensor, Band limited Signal Spectrum - MSAE = 1+/v p where v = s

2 /2v and p = s

2 /2p

- MSAE is nearly optimal

• 3-D Velocity-Covariance-Based Algorithm - Use Covariance matrix to estimate u - MSAE = = -1 + -2 where = v [ Nehorai & Paldi, 1993]

- MSAE is optimal in Gaussian noise case

Page 5: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

Measurements for DOA estimation using Intensity based Algorithm in Reflecting boundary case

• Key assumptions: Single bandlimited acoustic source radiating bandlimited spherical waves (different from free space case)

• The image Source is obtained by reflecting the original source in boundary (which adds Reflection Coefficient in the calculations)

• MSAE is calculated under the assumption that both signal and noise has Gaussian distributions

• MSAE is a function of SNR and the elevation angle [Hawkes & Nehorai, 2003]

Page 6: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

SOURCE

Microphone Array

Four Element Microphone Array Setup

x

y

z

[B. Kirkwood, 2003]

oo

y

x

z

Page 7: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

DOA estimation using Intensity based velocity vector sensors and Pressure sensors

Free-Space Scenario Reflecting Boundary Case

[Hawkes & Nehorai, 2000]Incidence Angle

Page 8: Measurements of acoustic velocity and pressure vectors in source localization using acoustic intensity sensor Literature Survey Presentation Khalid Miah

Implementation of Different Methods

Bad: Any experimental data and/or software/source code were not available for third party use.

Not too Bad: A Four-element single vector sensor array with “medieval” DAQ board and barely obsolete software (runs on WIN3.x) is available in Eletroacoustic Research lab. (ENS 630)