Literature DB >> 29390794

Estimating drift of directional sonobuoys from acoustic bearings.

Brian S Miller1, Simon Wotherspoon2, Shannon Rankin3, Susannah Calderan1, Russell Leaper1, Jennifer L Keating4.   

Abstract

A maximum likelihood method is presented for estimating drift direction and speed of a directional sonobuoy given the deployment location and a time series of acoustic bearings to a sound source at known position. The viability of this method is demonstrated by applying it to two real-world scenarios: (1) during a calibration trial where buoys were independently tracked via satellite, and (2) by applying the technique to sonobuoy recordings of a vocalising Antarctic blue whale that was simultaneously tracked by photogrammetric methods. In both test cases, correcting for sonobuoy drift substantially increased the accuracy of acoustic locations.

Entities:  

Year:  2018        PMID: 29390794     DOI: 10.1121/1.5020621

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  1 in total

1.  Accounting for location uncertainty in azimuthal telemetry data improves ecological inference.

Authors:  Brian D Gerber; Mevin B Hooten; Christopher P Peck; Mindy B Rice; James H Gammonley; Anthony D Apa; Amy J Davis
Journal:  Mov Ecol       Date:  2018-07-25       Impact factor: 3.600

  1 in total

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