On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition

Nicolas F. Josso; Jun Jason Zhang; Antonia Papandreou-Suppappola; Cornel Ioana; Jerome I. Mars; Cédric Gervaise; Yann Stéphan

On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition

Nicolas F. Josso, Jun Jason Zhang, Antonia Papandreou-Suppappola, Cornel Ioana, Jerome I. Mars, Cédric Gervaise, Yann Stéphan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

We investigate a characterization of underwater acoustic signals using extracted time-scale features of the propagation channel model for medium-to-high frequency range. The underwater environment over these frequencies causes multipath and Doppler scale changes on the transmitted signal. This is the result of the time-varying nature of the channel and also due to the relative motion between the transmitter-channel-receiver configuration. As a sparse model is essential for processing applications and for practical use in simulations, we employ the matching pursuit decomposition algorithm to estimate the channel time delay and Doppler scale change model attributes for each propagating path. The proposed signal characterization was validated for sparse channel profiles using real-time data from the BASE07 experiment.

Original language	English (US)
Title of host publication	MTS/IEEE Biloxi - Marine Technology for Our Future
Subtitle of host publication	Global and Local Challenges, OCEANS 2009
State	Published - 2009
Externally published	Yes
Event	MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 - Biloxi, MS, United States Duration: Oct 26 2009 → Oct 29 2009

Publication series

Name	MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009

Other

Other	MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009
Country/Territory	United States
City	Biloxi, MS
Period	10/26/09 → 10/29/09

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Electrical and Electronic Engineering
Ocean Engineering

Cite this

Josso, N. F., Zhang, J. J., Papandreou-Suppappola, A., Ioana, C., Mars, J. I., Gervaise, C., & Stéphan, Y. (2009). On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009 Article 5422228 (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition. / Josso, Nicolas F.; Zhang, Jun Jason; Papandreou-Suppappola, Antonia et al.
MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422228 (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Josso, NF, Zhang, JJ, Papandreou-Suppappola, A, Ioana, C, Mars, JI, Gervaise, C & Stéphan, Y 2009, On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition. in MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009., 5422228, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009, Biloxi, MS, United States, 10/26/09.

Josso NF, Zhang JJ, Papandreou-Suppappola A, Ioana C, Mars JI, Gervaise C et al. On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition. In MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. 5422228. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

Josso, Nicolas F. ; Zhang, Jun Jason ; Papandreou-Suppappola, Antonia et al. / On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition. MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009. 2009. (MTS/IEEE Biloxi - Marine Technology for Our Future: Global and Local Challenges, OCEANS 2009).

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title = "On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition",

abstract = "We investigate a characterization of underwater acoustic signals using extracted time-scale features of the propagation channel model for medium-to-high frequency range. The underwater environment over these frequencies causes multipath and Doppler scale changes on the transmitted signal. This is the result of the time-varying nature of the channel and also due to the relative motion between the transmitter-channel-receiver configuration. As a sparse model is essential for processing applications and for practical use in simulations, we employ the matching pursuit decomposition algorithm to estimate the channel time delay and Doppler scale change model attributes for each propagating path. The proposed signal characterization was validated for sparse channel profiles using real-time data from the BASE07 experiment.",

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AU - Gervaise, Cédric

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AB - We investigate a characterization of underwater acoustic signals using extracted time-scale features of the propagation channel model for medium-to-high frequency range. The underwater environment over these frequencies causes multipath and Doppler scale changes on the transmitted signal. This is the result of the time-varying nature of the channel and also due to the relative motion between the transmitter-channel-receiver configuration. As a sparse model is essential for processing applications and for practical use in simulations, we employ the matching pursuit decomposition algorithm to estimate the channel time delay and Doppler scale change model attributes for each propagating path. The proposed signal characterization was validated for sparse channel profiles using real-time data from the BASE07 experiment.

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On the characterization of time-scale underwater acoustic signals using matching pursuit decomposition

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