OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology
DOI: 10.1109/oceans.1992.612715
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Initial Analysis Of The Data From The Vertical DIFAR Array

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Cited by 54 publications
(42 citation statements)
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“…Both time delay localization methods and DIFAR processing of bearing angle from each sonobuoy were applied to the data ͑D 'Spain, 1994;D'Spain et al, 1992͒. The DIFAR bearing errors were found to have a standard deviation of two degrees ͑McDonald, unpublished data͒.…”
Section: Biopsies Of Blue Whalesmentioning
confidence: 99%
“…Both time delay localization methods and DIFAR processing of bearing angle from each sonobuoy were applied to the data ͑D 'Spain, 1994;D'Spain et al, 1992͒. The DIFAR bearing errors were found to have a standard deviation of two degrees ͑McDonald, unpublished data͒.…”
Section: Biopsies Of Blue Whalesmentioning
confidence: 99%
“…Co-located but orthogonally oriented velocity hydrophones have been used by D'Spain et al [12] in linearly constrained minimum-variance (LCMV) beamforming toward predetermined directions. Shchurov et al [14] had also deployed similar arrays to measure ambient noises but not for source localization.…”
Section: B Summary Of Relevant Literaturementioning
confidence: 99%
“…Although two distinct matrix-pencil pairs have been formed, only one eigendecomposition of this data covariance matrix is necessary because both matrix pencils are formed from the same data set. Let be the signal subspace matrix composed of the eigenvectors corresponding to the largest eigenvalues of the sample covariance matrix (12) where is the noise subspace matrix composed of the eigenvectors corresponding to the smallest eigenvalues, is a diagonal matrix whose diagonal entries are the largest eigenvalues, and is a diagonal matrix whose diagonal entries contain the smallest eigenvalues. asymptotically approaches the following form: (13) (14) where is an unknown nonsingular matrix to be determined.…”
Section: A Adapting Esprit To a Uniform Rectangular Vector-hydrophonmentioning
confidence: 99%
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“…For example, Wong and Zoltowski (1999), (2000) introduced Root-MUSIC-based and MUSIC-based source localization algorithms for vector sensors. Theoretical and technological development of the vector sensor also revitalized interest in using spatial filtering (beamforming) to localize acoustic sound sources (D'Spain et al, 1992;Hawkes and Nehorai, 1998;Wong and Chi, 2002;Zou and Nehorai, 2009). D 'Spain et al (2006) pointed out that the Taylor series expansion of the acoustic pressure field about a single point in space provides the theoretical basis for array processing with measurements at a single point in space.…”
Section: Introductionmentioning
confidence: 99%