Temporally weighting a time varying noise field to improve Green function retrieval

Richard L. Weaver, John Y. Yoritomo

Research output: Contribution to journalArticlepeer-review


The authors consider the retrieval of Green functions G from the correlations of non-stationary non-fully diffuse noise incident on an array of sensors. Multiple schemes are proposed for optimizing the time-varying weights with which correlations may be stacked. Using noise records created by direct numerical simulation of waves in a two-dimensional multiply scattering medium, cases are shown in which conventional stacking does a poor job and for which the proposed schemes substantially improve the recovered G, rendering it more causal and/or more symmetric, and more similar to the actual G. It is found that the schemes choose weights such that the effective incident intensity distribution is closer to isotropic.

Original languageEnglish (US)
Pages (from-to)3706-3719
Number of pages14
JournalJournal of the Acoustical Society of America
Issue number6
StatePublished - Jun 1 2018

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics


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