TY - GEN
T1 - Planar array geometry optimization for region sound acquisition
AU - Chen, Xi
AU - Pan, Chao
AU - Chen, Jingdong
AU - Benesty, Jacob
N1 - Publisher Copyright:
©2021 IEEE
PY - 2021
Y1 - 2021
N2 - Microphone arrays have been used in wide range of applications for sound acquisition and signal enhancement, the performance of which depends not only on the processing algorithms but also on the array geometry. A large number of efforts have been devoted to the development of beamforming and signal enhancement algorithms for processing microphone array signals in the literature. Relatively, few efforts have been made to investigate the problem of array geometry optimization. This paper studies the problem of geometry optimization for planar arrays and it develops a genetic optimization algorithm that can optimize the positions of the sensors, thereby maximizing the directivity factor (DF) with a constrained level of white noise gain (WNG) given the number of microphones, the region in which they should be placed, and the interested range of steering. Simulation results show that the optimized array geometry outperforms the uniform linear, the uniform circular and the rectangular grid geometries in terms of DF with the same number of sensors and the same constraint on the minimum level of WNG.
AB - Microphone arrays have been used in wide range of applications for sound acquisition and signal enhancement, the performance of which depends not only on the processing algorithms but also on the array geometry. A large number of efforts have been devoted to the development of beamforming and signal enhancement algorithms for processing microphone array signals in the literature. Relatively, few efforts have been made to investigate the problem of array geometry optimization. This paper studies the problem of geometry optimization for planar arrays and it develops a genetic optimization algorithm that can optimize the positions of the sensors, thereby maximizing the directivity factor (DF) with a constrained level of white noise gain (WNG) given the number of microphones, the region in which they should be placed, and the interested range of steering. Simulation results show that the optimized array geometry outperforms the uniform linear, the uniform circular and the rectangular grid geometries in terms of DF with the same number of sensors and the same constraint on the minimum level of WNG.
KW - Array geometry optimization
KW - Genetic algorithm
KW - Microphone arrays
KW - Superdirective beamforming
UR - http://www.scopus.com/inward/record.url?scp=85115130385&partnerID=8YFLogxK
U2 - 10.1109/ICASSP39728.2021.9414446
DO - 10.1109/ICASSP39728.2021.9414446
M3 - 会议稿件
AN - SCOPUS:85115130385
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 756
EP - 760
BT - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Y2 - 6 June 2021 through 11 June 2021
ER -