TY - GEN
T1 - Spatio-spectral masking for spherical array beamforming
AU - Abend, Uri
AU - Rafaely, Boaz
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/4
Y1 - 2017/1/4
N2 - Beamforming using spherical arrays has become increasingly popular in recent years. However, the performance of beamforming algorithms is greatly affected by the limited number of sensors. This work offers a novel approach based on pre-processing of the spatial data in order to better separate the signal from noise, thus improving beamforming performance. The method involves transformation of the data to the spatio-spectral domain, using the spatially-localized spherical Fourier transform, followed by masking. The masking function is defined using a-priori knowledge of signal to noise ratio. The performance of the proposed algorithm is then evaluated using a simulation study, showing improvement over conventional spatial filtering.
AB - Beamforming using spherical arrays has become increasingly popular in recent years. However, the performance of beamforming algorithms is greatly affected by the limited number of sensors. This work offers a novel approach based on pre-processing of the spatial data in order to better separate the signal from noise, thus improving beamforming performance. The method involves transformation of the data to the spatio-spectral domain, using the spatially-localized spherical Fourier transform, followed by masking. The masking function is defined using a-priori knowledge of signal to noise ratio. The performance of the proposed algorithm is then evaluated using a simulation study, showing improvement over conventional spatial filtering.
UR - http://www.scopus.com/inward/record.url?scp=85014244474&partnerID=8YFLogxK
U2 - 10.1109/ICSEE.2016.7806070
DO - 10.1109/ICSEE.2016.7806070
M3 - Conference contribution
AN - SCOPUS:85014244474
T3 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
BT - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
PB - Institute of Electrical and Electronics Engineers
T2 - 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Y2 - 16 November 2016 through 18 November 2016
ER -