TY - GEN
T1 - DoA Estimation of Room Reflections Using NN-Based MUSIC Algorithm
AU - Li, Haowen
AU - Zhang, Wen
AU - Zhang, Lijun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The estimation of direction of arrival (DoA) for coherent sound sources, such as direct sound and early reflections in a room environment, is crucial. However, most traditional algorithms, like the multiple signal classification (MUSIC) algorithm, require observed signals to be non-coherent and can only be applied to narrowband signals. To tackle this issue, this paper introduces a neural network (NN)-based broadband MUSIC algorithm. By substituting the covariance matrix in the MUSIC algorithm with a pseudo-covariance matrix estimated through the network, this method can overcome the limitation of locating coherent broadband sources. Simulation results have shown that this proposed approach can accurately estimate the DoAs of direct sound and first-order reflections in both noisy and reverberant environments.
AB - The estimation of direction of arrival (DoA) for coherent sound sources, such as direct sound and early reflections in a room environment, is crucial. However, most traditional algorithms, like the multiple signal classification (MUSIC) algorithm, require observed signals to be non-coherent and can only be applied to narrowband signals. To tackle this issue, this paper introduces a neural network (NN)-based broadband MUSIC algorithm. By substituting the covariance matrix in the MUSIC algorithm with a pseudo-covariance matrix estimated through the network, this method can overcome the limitation of locating coherent broadband sources. Simulation results have shown that this proposed approach can accurately estimate the DoAs of direct sound and first-order reflections in both noisy and reverberant environments.
UR - http://www.scopus.com/inward/record.url?scp=85180014986&partnerID=8YFLogxK
U2 - 10.1109/APSIPAASC58517.2023.10317587
DO - 10.1109/APSIPAASC58517.2023.10317587
M3 - 会议稿件
AN - SCOPUS:85180014986
T3 - 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
SP - 1960
EP - 1965
BT - 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023
Y2 - 31 October 2023 through 3 November 2023
ER -