Abstract
Recently, the aeroacoustic community has examined various methods based on deconvolution to improve the
visualization of acoustic fields scanned with planar arrays of microphones. These methods are based on the
assumption that the beamforming map in an observation plane parallel to the array can be approximated by a
convolution of the actual sources and the beamformer’s point spread-function, i.e., the beamformer’s
response to a point source. By deconvolving the resulting map, the resolution is improved and the side-lobes
effect is reduced or even eliminated compared to conventional beamforming. Even though these methods are
originally designed for planar sparse arrays, they can be adapted to uniform circular arrays for mapping the
sound over 360º. Such geometry has the advantage that the beamforming response has always the same shape
around the focusing direction, or in other words, that the beamformer’s point-spread function is
shift-invariant, which makes it possible to apply spectral procedures on the entire region of interest so that the
deconvolution algorithm becomes computationally more efficient. This investigation examines the matter by
means of computer simulations and experimental measurements.
Original language | English |
---|---|
Title of host publication | INTER-NOISE 2011 Proceedings |
Publication date | 2011 |
Publication status | Published - 2011 |
Event | INTER-NOISE 2011 : 40th International Congress and Exposition on Noise Control Engineering - Osaka, Japan Duration: 4 Sep 2011 → 7 Sep 2011 Conference number: 40 |
Conference
Conference | INTER-NOISE 2011 : 40th International Congress and Exposition on Noise Control Engineering |
---|---|
Number | 40 |
Country | Japan |
City | Osaka |
Period | 04/09/2011 → 07/09/2011 |
Keywords
- Deconvolution methods
- Beamforming
- Uniform circular arrays