Improved infrasound array processing with robust estimators

Volume: 221, Issue: 3, Pages: 2058 - 2074
Published: Mar 9, 2020
Abstract
SUMMARY Infrasound array data are commonly used to detect and characterize infrasonic signals from a variety of natural and anthropogenic sources. Here we examine the effectiveness of robust regression estimators (L1-norm regression, M-estimators and least trimmed squares) for infrasound array processing, and compare them against standard array processing algorithms (least-squares estimation, frequency–wavenumber analysis and progressive...
Paper Details
Title
Improved infrasound array processing with robust estimators
Published Date
Mar 9, 2020
Volume
221
Issue
3
Pages
2058 - 2074
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