Multistep matched-field inversion for broad-band data from ASIAEX2001

Kunde Yang; Yuanliang Ma; Chao Sun; James H. Miller; G. R. Potty

doi:10.1109/JOE.2004.835211

Multistep matched-field inversion for broad-band data from ASIAEX2001

Kunde Yang, Yuanliang Ma, Chao Sun, James H. Miller, G. R. Potty

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

50 Scopus citations

Abstract

This paper discusses the results of geoacoustic inversion carried out using explosive charge data from the Asian Seas International Acoustic Experiment (ASIAEX) East China Sea (ECS) Experiment. A multifrequency incoherent matched-field inversion processor and a genetic algorithm (GA) are used for the inversion. A multistep matched field inversion approach is presented, which makes use of the varying sensitivities of wave fields at various frequencies to reduce the inversion problem into a sequence of smaller inversions with fewer unknowns to estimate at each stage. Different parameters are estimated using data at different frequencies according to their sensitivities. Inversion results for different areas in the ECS region are summarized and compared with core data.

Original language	English
Pages (from-to)	964-972
Number of pages	9
Journal	IEEE Journal of Oceanic Engineering
Volume	29
Issue number	4
DOIs	https://doi.org/10.1109/JOE.2004.835211
State	Published - Oct 2004

Keywords

Genetic algorithms (GAs)
Geoacoustic inversion
Matched-field inversion

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10.1109/JOE.2004.835211

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title = "Multistep matched-field inversion for broad-band data from ASIAEX2001",

abstract = "This paper discusses the results of geoacoustic inversion carried out using explosive charge data from the Asian Seas International Acoustic Experiment (ASIAEX) East China Sea (ECS) Experiment. A multifrequency incoherent matched-field inversion processor and a genetic algorithm (GA) are used for the inversion. A multistep matched field inversion approach is presented, which makes use of the varying sensitivities of wave fields at various frequencies to reduce the inversion problem into a sequence of smaller inversions with fewer unknowns to estimate at each stage. Different parameters are estimated using data at different frequencies according to their sensitivities. Inversion results for different areas in the ECS region are summarized and compared with core data.",

keywords = "Genetic algorithms (GAs), Geoacoustic inversion, Matched-field inversion",

author = "Kunde Yang and Yuanliang Ma and Chao Sun and Miller, {James H.} and Potty, {G. R.}",

year = "2004",

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T1 - Multistep matched-field inversion for broad-band data from ASIAEX2001

AU - Yang, Kunde

AU - Ma, Yuanliang

AU - Sun, Chao

AU - Miller, James H.

AU - Potty, G. R.

PY - 2004/10

Y1 - 2004/10

N2 - This paper discusses the results of geoacoustic inversion carried out using explosive charge data from the Asian Seas International Acoustic Experiment (ASIAEX) East China Sea (ECS) Experiment. A multifrequency incoherent matched-field inversion processor and a genetic algorithm (GA) are used for the inversion. A multistep matched field inversion approach is presented, which makes use of the varying sensitivities of wave fields at various frequencies to reduce the inversion problem into a sequence of smaller inversions with fewer unknowns to estimate at each stage. Different parameters are estimated using data at different frequencies according to their sensitivities. Inversion results for different areas in the ECS region are summarized and compared with core data.

AB - This paper discusses the results of geoacoustic inversion carried out using explosive charge data from the Asian Seas International Acoustic Experiment (ASIAEX) East China Sea (ECS) Experiment. A multifrequency incoherent matched-field inversion processor and a genetic algorithm (GA) are used for the inversion. A multistep matched field inversion approach is presented, which makes use of the varying sensitivities of wave fields at various frequencies to reduce the inversion problem into a sequence of smaller inversions with fewer unknowns to estimate at each stage. Different parameters are estimated using data at different frequencies according to their sensitivities. Inversion results for different areas in the ECS region are summarized and compared with core data.

KW - Genetic algorithms (GAs)

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KW - Matched-field inversion

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JO - IEEE Journal of Oceanic Engineering

JF - IEEE Journal of Oceanic Engineering

IS - 4

ER -

Multistep matched-field inversion for broad-band data from ASIAEX2001

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Keywords

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