HEAL DSpace

Matched-field processing for broad-band source localization

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dc.contributor.author Michalopoulou, Z-H en
dc.contributor.author Porter, MB en
dc.date.accessioned 2014-03-01T01:44:46Z
dc.date.available 2014-03-01T01:44:46Z
dc.date.issued 1996 en
dc.identifier.issn 03649059 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/24481
dc.title Matched-field processing for broad-band source localization en
heal.type journalArticle en
heal.identifier.primary 10.1109/48.544049 en
heal.identifier.secondary http://dx.doi.org/10.1109/48.544049 en
heal.publicationDate 1996 en
heal.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. en
heal.journalName IEEE Journal of Oceanic Engineering en
dc.identifier.doi 10.1109/48.544049 en
dc.identifier.volume 21 en
dc.identifier.issue 4 en
dc.identifier.spage 384 en
dc.identifier.epage 391 en


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