Nuclear test ban treaty verification: Improving test ban monitoring with empirical and model-based signal processing

Journal Article · Tue May 01 00:00:00 EDT 2012 · IEEE Signal Processing Magazine

DOI:https://doi.org/10.1109/MSP.2012.2184869· OSTI ID:1239213

Harris, David B. ^[1]; Gibbons, Steven J. ^[2]; Rodgers, Arthur J. ^[3]; Pasyanls, Michael E. ^[4]

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1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
2. NORSAR, Kjeller (Norway)
3. Univ. of Colorado, Boulder, CO (United States)
4. Univ. of California, Berkeley, CA (United States)

In this approach, small scale-length medium perturbations not modeled in the tomographic inversion might be described as random fields, characterized by particular distribution functions (e.g., normal with specified spatial covariance). Conceivably, random field parameters (scatterer density or scale length) might themselves be the targets of tomographic inversions of the scattered wave field. As a result, such augmented models may provide processing gain through the use of probabilistic signal sub spaces rather than deterministic waveforms.

• Research Organization: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC52-07NA27344
• OSTI ID: 1239213
• Report Number(s): LLNL-JRNL-522935
• Journal Information: IEEE Signal Processing Magazine, Vol. 29, Issue 3; ISSN 1053-5888
• Country of Publication: United States
• Language: English

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