DocumentCode
1600266
Title
Poster abstract: A beamforming method for multiple source DOA estimation, spectrum separation and localization from field data
Author
Juo-Yu Lee ; Harlow, Zac ; Collier, Travis C. ; Taylor, Charles E. ; Kung Yao
Author_Institution
Electr. Eng. Dept., Univ. of California, Los Angeles, Los Angeles, CA, USA
fYear
2012
Firstpage
123
Lastpage
124
Abstract
We present a beamforming method for estimating the directions and locations of multiple sources and separating each source´s spectrum from field data collected by a wireless acoustic sensor network. Each acoustic sensor is equipped with four microphones that receive acoustic signals in a time-synchronized manner. The difference in time-of-arrival of proximal signals depends on the source direction with respect to the geometry of the microphone array. We show that by using beamforming in the frequency domain, the locations and Direction-Of-Arrivals (DOAs) of multiple 3D sources may be estimated, and the source spectrum may be separated from the audio data spectra.
Keywords
acoustic signal processing; array signal processing; direction-of-arrival estimation; frequency-domain analysis; source separation; synchronisation; time-of-arrival estimation; audio data spectra; beamforming method; direction-of-arrival estimation; field data collection; frequency domain; microphone array geometry; multiple 3D sources; multiple source DOA estimation; proximal signals; receive acoustic signals; source direction; source spectrum separation; spectrum localization; time-of-arrival difference; time-synchronization; wireless acoustic sensor network; Acoustic sensors; Acoustics; Direction-of-arrival estimation; Maximum likelihood estimation; Microphones; Wideband; Acoustic sensor; DOA; Localization; Source Separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks (IPSN), 2012 ACM/IEEE 11th International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/IPSN.2012.6920963
Filename
6920963
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