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Title: Broadband Processing in a Noisy Shallow Ocean Environment: A Particle Filtering Approach

Here we report that when a broadband source propagates sound in a shallow ocean the received data can become quite complicated due to temperature-related sound-speed variations and therefore a highly dispersive environment. Noise and uncertainties disrupt this already chaotic environment even further because disturbances propagate through the same inherent acoustic channel. The broadband (signal) estimation/detection problem can be decomposed into a set of narrowband solutions that are processed separately and then combined to achieve more enhancement of signal levels than that available from a single frequency, thereby allowing more information to be extracted leading to a more reliable source detection. A Bayesian solution to the broadband modal function tracking, pressure-field enhancement, and source detection problem is developed that leads to nonparametric estimates of desired posterior distributions enabling the estimation of useful statistics and an improved processor/detector. In conclusion, to investigate the processor capabilities, we synthesize an ensemble of noisy, broadband, shallow-ocean measurements to evaluate its overall performance using an information theoretical metric for the preprocessor and the receiver operating characteristic curve for the detector.
Authors:
 [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Report Number(s):
LLNL-JRNL-676434
Journal ID: ISSN 0364-9059
Grant/Contract Number:
AC52-07NA27344
Type:
Accepted Manuscript
Journal Name:
IEEE Journal of Oceanic Engineering
Additional Journal Information:
Journal Issue: 99; Journal ID: ISSN 0364-9059
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 47 OTHER INSTRUMENTATION; littoral region; normal-modes; broadband Bayesian processor; sequential Monte Carlo; particle filter; performance metrics; information theory; Kullback-Leibler divergence; sequential detection
OSTI Identifier:
1262184

Candy, J. V.. Broadband Processing in a Noisy Shallow Ocean Environment: A Particle Filtering Approach. United States: N. p., Web. doi:10.1109/JOE.2016.2521243.
Candy, J. V.. Broadband Processing in a Noisy Shallow Ocean Environment: A Particle Filtering Approach. United States. doi:10.1109/JOE.2016.2521243.
Candy, J. V.. 2016. "Broadband Processing in a Noisy Shallow Ocean Environment: A Particle Filtering Approach". United States. doi:10.1109/JOE.2016.2521243. https://www.osti.gov/servlets/purl/1262184.
@article{osti_1262184,
title = {Broadband Processing in a Noisy Shallow Ocean Environment: A Particle Filtering Approach},
author = {Candy, J. V.},
abstractNote = {Here we report that when a broadband source propagates sound in a shallow ocean the received data can become quite complicated due to temperature-related sound-speed variations and therefore a highly dispersive environment. Noise and uncertainties disrupt this already chaotic environment even further because disturbances propagate through the same inherent acoustic channel. The broadband (signal) estimation/detection problem can be decomposed into a set of narrowband solutions that are processed separately and then combined to achieve more enhancement of signal levels than that available from a single frequency, thereby allowing more information to be extracted leading to a more reliable source detection. A Bayesian solution to the broadband modal function tracking, pressure-field enhancement, and source detection problem is developed that leads to nonparametric estimates of desired posterior distributions enabling the estimation of useful statistics and an improved processor/detector. In conclusion, to investigate the processor capabilities, we synthesize an ensemble of noisy, broadband, shallow-ocean measurements to evaluate its overall performance using an information theoretical metric for the preprocessor and the receiver operating characteristic curve for the detector.},
doi = {10.1109/JOE.2016.2521243},
journal = {IEEE Journal of Oceanic Engineering},
number = 99,
volume = ,
place = {United States},
year = {2016},
month = {4}
}