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Passive Ranging of Tonal Sources in Shallow Water Using the Waveguide Invariant

dc.contributor.advisor Krolik, Jeffrey L
dc.contributor.advisor Nolte, Loren W
dc.contributor.author Young, Andrew
dc.date.accessioned 2017-08-16T18:25:59Z
dc.date.available 2017-11-26T05:30:04Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/10161/15234
dc.description.abstract <p>Shallow water, coastal regions with high volumes of shipping traffic provide an excellent opportunity to passively characterize the ocean acoustic propagation environment. In this paper, a hybrid maximum-likelihood method is presented for estimating the value of the waveguide invariant parameter, $\beta$, which succinctly characterizes the interference structure inherent to ducted acoustic propagation. A similar method is also presented by which the range can be estimated to a tonal source that later transits a shallow water region that has previously been characterized by $\beta$. This paper focuses solely on tonal acoustic sources, exploiting one of the defining characteristics of cargo ship emissions. The methods presented require minimal a priori environmental knowledge and relatively few assumptions regarding the acoustic sources. $\beta$ is estimated through spectral analysis of the fading pattern of a received acoustic signal from a transiting cargo ship that broadcasts its GPS location through Automatic Identification System (AIS) data. Range is estimated using a similar method, but also requiring a rough source velocity estimate. Close agreement is seen between simulated results obtained using Kraken and experimental results using data from the Swellex ’96 experiment, in which a shallow source was used to estimate the range to a deep source.</p>
dc.subject Acoustics
dc.subject Electrical engineering
dc.subject passive sonar
dc.subject shallow water
dc.subject tonal source
dc.subject waveguide invariant
dc.title Passive Ranging of Tonal Sources in Shallow Water Using the Waveguide Invariant
dc.type Master's thesis
dc.department Electrical and Computer Engineering
duke.embargo.months 3


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