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A Protocol for Real-time 3D Single Particle Tracking

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Particle filtering for arrival time tracking in space and source localization.

Zoi-Heleni Michalopoulou¹, Rashi Jain

¹Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA. michalop@njit.edu

The Journal of the Acoustical Society of America

|November 14, 2012

Summary

This summary is machine-generated.

This study introduces a particle filtering method for ocean acoustics, improving source localization and bathymetry estimation by analyzing acoustic signal paths. The approach offers significant advantages over conventional techniques in underwater environments.

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Area of Science:

Ocean acoustics
Signal processing
Environmental sensing

Background:

Accurate source localization and environmental parameter estimation are crucial in ocean acoustics.
Traditional full field calculations are computationally intensive and sensitive to environmental assumptions.
Alternative methods using select acoustic field features offer potential advantages.

Purpose of the Study:

To develop a novel method for extracting acoustic path arrival times and amplitudes using particle filtering.
To utilize these extracted features for improved source localization and bathymetry estimation.
To assess the impact of filtering methodology on arrival time uncertainty.

Main Methods:

Sequential Bayesian filtering, specifically particle filtering, applied to acoustic time-series data.
Extraction of distinct acoustic path arrival times and amplitudes.
Estimation of source location and water depth using posterior probability densities from filtering.

Main Results:

The particle filtering method successfully extracts arrival times and amplitudes from acoustic measurements.
Source localization and bathymetry estimation were performed using the filtered data.
The proposed approach demonstrated a significant advantage compared to conventional methods in the Haro Strait Primer experiment.

Conclusions:

Particle filtering provides an effective means to extract key acoustic features for underwater source localization and environmental sensing.
The method reduces reliance on computationally intensive full field calculations.
This approach offers a more robust and advantageous alternative for ocean acoustic applications.