Tracking scattered signals in the acoustic coda using independent component analysis in a topographically complex setting

Albert, S. A.; Bowman, D. C.

doi:10.1093/gji/ggy461

Title: Tracking scattered signals in the acoustic coda using independent component analysis in a topographically complex setting

Journal Article · Sat Nov 03 00:00:00 EDT 2018 · Geophysical Journal International

DOI:https://doi.org/10.1093/gji/ggy461· OSTI ID:1483444

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Sandia National Laboratories, Albuquerque, NM 87185, USA

In this paper, we outline a method using gradient flow independent component analysis (ICA) to separate signals comprising the coda in a topographically complex setting. We also identify the sources of scattered signals by tracking signal backazimuths over time. The gradient flow ICA method is shown to effectively separate signals in the acoustic coda. The method correctly identifies the backazimuth of the first arrival from two 800 kg TNT equivalent explosions as well as subsequent signals scattered by the surrounding topography. Circular statistics is used to analyse the variance, mean and uniformity of calculated backazimuths. Finally, these results have strong implications for understanding the acoustic wavefield by identifying scatterers and inverting for atmospheric conditions.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525; AC04-94AL85000

OSTI ID:: 1483444

Alternate ID(s):: OSTI ID: 1485842

Report Number(s):: SAND-2018-12667J

Journal Information:: Geophysical Journal International, Journal Name: Geophysical Journal International Vol. 216 Journal Issue: 2; ISSN 0956-540X

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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