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Long-range frequency-difference source localization in the Philippine Sea.
Geroski, David J; Dowling, David R.
Afiliação
  • Geroski DJ; Applied Physics Program, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Dowling DR; Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.
J Acoust Soc Am ; 146(6): 4727, 2019 12.
Article em En | MEDLINE | ID: mdl-31893739
Matched field processing (MFP) refers to a variety of source localization schemes for known complicated environments and involves matching measured and calculated (replica) fields to identify source locations. MFP may fail for several reasons, most notably when the calculated fields are insufficiently accurate. This error commonly prevents MFP-based long-range (>100 km) source localization in the deep ocean (from 5 to 6 km depth) for signal frequencies of hundreds of Hz, even when extensive high-signal-to-noise ratio field measurements are available. Recently, below-band MFP utilizing the frequency-difference autoproduct [Worthmann, Song, and Dowling (2015). J. Acoust. Soc. Am, 138(6), 3549-3562] achieved some shallow-ocean localization success at a 3 km source-to-array range with signal frequencies in the tens of kHz. The performance of this technique, when extended to matching the measured frequency-difference autoproduct with a composite mode-ray replica, is described here for deep ocean source localization. The ocean propagation data come from the PhilSea10 experiment and involve source-to-array ranges from 129 to 379 km and nominal 100-Hz-bandwidth signals having center frequencies from 250 to 275 Hz. Based on an incoherent average of five signal samples, the frequency-difference technique was 90%-100% successful at four different source-to-array ranges using single-digit-Hz difference frequencies.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Som / Processamento de Sinais Assistido por Computador / Água / Movimento (Física) Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Som / Processamento de Sinais Assistido por Computador / Água / Movimento (Física) Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos