Feasibility of passive oceanic acoustic tomography: a Cramer Rao bounds approach

Gaucher, David; Gervaise,

doi:10.1109/oceans.2003.178345

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Many others don't work well or at all when the emitted signals are wide band signals [8]. Some algorithms take into consideration the position of acoustic sound emitters [9]. Typically, in real world PAT applications, underwater acoustic signals are generated by various moving sources whose number and positions are hardly, (or impossible), to be identified, (as in the case of shoal of fish or wave noises).…”

Section: Passive Acoustic Tomographymentioning

confidence: 99%

Enhancement of acoustic tomography using spatial and frequency diversities

Mansour

2012

EURASIP J. Adv. Signal Process.

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This article introduces several contributions to enhance an important application such as acoustic tomography (AT), using mainly the spatial and spectral diversities of underwater acoustic signals. Due to their inherited properties, (i.e. spareness, non-stationarity or cyclostationarity, wide-band frequency range, wide range of power, etc.), the process of underwater acoustic signals becomes a real challenge for many scientists and engineers who are involved in studies related to the ocean. For various applications, these studies require huge and daily information. AT techniques remain fast and cheap ways to obtain such data. Nowadays, active acoustic tomography (AAT), is communally used to generate powerful and repetitive acoustic sources. Recently, researchers have been attracted by an alternative way, called passive acoustic tomography (PAT), which uses acoustic opportune signals of their environment. PAT techniques are mainly used for ecological, economical and other reasons such as military applications. With PAT, no signal is emitted; therefore, problems become more challenging. The number and positions of existent sources are unknown, and sensors measure mixtures of available sources. Algorithms based on time or frequency domains are widely deployed to classify, identify, and study received signals in AAT applications. For PAT, researchers employ multiple sensors in order to add an extra dimension, (such as space). This article focuses on approaches used in space along with time or frequency to extract information, improve performances, and simplify the overall architecture. This article explains the use of signal processing and statistical approaches to solve problems raised using PAT and discusses the experimental results. The review of the literature offers a big variety of algorithms to deal with classic AAT problems. Therefore, only problems related to PAT have been considered herein.

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Section: Passive Acoustic Tomographymentioning

confidence: 99%

Enhancement of acoustic tomography using spatial and frequency diversities

Mansour

2012

EURASIP J. Adv. Signal Process.

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Blind Separation of Underwater Acoustic Signals

Mansour

Benchekroun

Gervaise

2006

Independent Component Analysis and Blind Signal Separation

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Abstract-Acoustic tomography is an issue of great importance in many applications. Few algorithms have been dedicated to the passive acoustic tomography of a single input single output (SISO) channel. As matter of fact, most of those algorithms can not be applied in a real situation i.e. for a Multi-Input MultiOutput (MIMO) channel. In this paper, we discussed at first the features of the acoustic channel and signals then we proposed an architecture to separate acoustic signals issued from an acoustic realistic channel. The proposed structures used algorithms based on independent component analysis (ICA). We should mention here that many algorithms have implemented and tested but only two algorithms give good results. The latter algorithms minimize two different second order statistic criteria in the frequency domain. Finally, some simulations have been presented and discussed.

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Blind deconvolution of underwater channel using transitory signal processing

Ioana¹,

Gervaise²,

Quinquis³

Oceans '04 MTS/IEEE Techno-Ocean '04 (IEEE Cat. No.04CH37600)

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Feasibility of passive oceanic acoustic tomography: a Cramer Rao bounds approach

Cited by 5 publications

References 6 publications

Enhancement of acoustic tomography using spatial and frequency diversities

Enhancement of acoustic tomography using spatial and frequency diversities

Blind Separation of Underwater Acoustic Signals

Blind deconvolution of underwater channel using transitory signal processing

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