Matched-field processing for broad-band source localization

Zoi Heleni Michalopoulou; Michael B. Porter

doi:10.1109/48.544049

Matched-field processing for broad-band source localization

Zoi Heleni Michalopoulou, Michael B. Porter

Mathematical Sciences

Research output: Contribution to journal › Article › peer-review

89 Scopus citations

Abstract

In the Hudson Canyon experiment, a sound source moved at a constant depth in 73 m of water while transmitting four tonals. The signal was received on a vertical array of hydrophones that spanned the water column. The data set from this experiment has become a standard test case for studying source tracking using matched-field processing. As part of that process it was important to first determine a suitable environment model and demonstrate the feasibility of matched-field processing. In this paper, we provide the background on the original data processing that was done to accomplish this. Several interesting results emerged from that study. Frequency averaging was demonstrated to be extremely beneficial when used with the Bartlett processor. However, the popular Minimum Variance processor performed poorly. Finally we discuss a very simple approach to combining the energy coherently that provided significantly improved results.

Original language	English (US)
Pages (from-to)	384-391
Number of pages	8
Journal	IEEE Journal of Oceanic Engineering
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/48.544049
State	Published - Oct 1996

All Science Journal Classification (ASJC) codes

Ocean Engineering
Mechanical Engineering
Electrical and Electronic Engineering

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10.1109/48.544049

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title = "Matched-field processing for broad-band source localization",

abstract = "In the Hudson Canyon experiment, a sound source moved at a constant depth in 73 m of water while transmitting four tonals. The signal was received on a vertical array of hydrophones that spanned the water column. The data set from this experiment has become a standard test case for studying source tracking using matched-field processing. As part of that process it was important to first determine a suitable environment model and demonstrate the feasibility of matched-field processing. In this paper, we provide the background on the original data processing that was done to accomplish this. Several interesting results emerged from that study. Frequency averaging was demonstrated to be extremely beneficial when used with the Bartlett processor. However, the popular Minimum Variance processor performed poorly. Finally we discuss a very simple approach to combining the energy coherently that provided significantly improved results.",

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note = "Funding Information: Manuscript received February 29, 1996; revised May 29, 1996. This work was supported by the Office of Naval Research through Grants N00014-92-J (Mathematics) and N00014-95-1-0558 (Ocean Acoustics), and by the National Science Foundation through Grant MIP-9505162. This work was presented in part at ICASSP 96.",

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Matched-field processing for broad-band source localization

Abstract

All Science Journal Classification (ASJC) codes

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