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| Titel |
Cosine beamforming |
| VerfasserIn |
Elmer Ruigrok, Kees Wapenaar |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250097102
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| Publikation (Nr.) |
 EGU/EGU2014-12650.pdf |
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| Zusammenfassung |
| In various application areas, e.g., seismology, astronomy and geodesy, arrays of sensors are
used to characterize incoming wavefields due to distant sources. Beamforming is a general
term for phased-adjusted summations over the different array elements, for untangling the
directionality and elevation angle of the incoming waves. For characterizing noise sources,
beamforming is conventionally applied with a temporal Fourier and a 2D spatial Fourier
transform, possibly with additional weights. These transforms become aliased for higher
frequencies and sparser array-element distributions. As a partial remedy, we derive a kernel
for beamforming crosscorrelated data and call it cosine beamforming (CBF). By applying
beamforming not directly to the data, but to crosscorrelated data, the sampling is effectively
increased. We show that CBF, due to this better sampling, suffers less from aliasing and
yields higher resolution than conventional beamforming. As a flip-side of the coin, the CBF
output shows more smearing for spherical waves than conventional beamforming. |
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