TY - GEN
T1 - Normalized Multichannel Frequency-Domain LMS Filter With Nearest Kronecker Product Decomposition for Blind Identification of Low-Rank Acoustic Systems
AU - Qiu, Zhimin
AU - He, Hongsen
AU - Chen, Jingdong
AU - Benesty, Jacob
AU - Yu, Yi
N1 - Publisher Copyright:
© 2024 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This paper proposes a multichannel frequency-domain adaptive filtering algorithm to blindly identify low-rank acoustic systems. The model filters of the multichannel acoustic impulse responses are decomposed into two sets of short sub-filters through the nearest Kronecker product (NKP). An extended multichannel frequency-domain signal model and its associated cost function are established by using these short sub-filters. The normalized multichannel frequency-domain least-mean-square (NMCFLMS) algorithm based on NKP is subsequently derived according to the Newton’s iteration criterion. Simulations show that the proposed algorithm is computationally more efficient and has a better convergence behavior for blindly identifying multichannel acoustic systems than the conventional NMCFLMS adaptive algorithm, regardless of whether the excitation is a white sequence or a speech signal.
AB - This paper proposes a multichannel frequency-domain adaptive filtering algorithm to blindly identify low-rank acoustic systems. The model filters of the multichannel acoustic impulse responses are decomposed into two sets of short sub-filters through the nearest Kronecker product (NKP). An extended multichannel frequency-domain signal model and its associated cost function are established by using these short sub-filters. The normalized multichannel frequency-domain least-mean-square (NMCFLMS) algorithm based on NKP is subsequently derived according to the Newton’s iteration criterion. Simulations show that the proposed algorithm is computationally more efficient and has a better convergence behavior for blindly identifying multichannel acoustic systems than the conventional NMCFLMS adaptive algorithm, regardless of whether the excitation is a white sequence or a speech signal.
KW - Blind system identification
KW - frequency-domain adaptive filter
KW - multichannel acoustic systems
KW - nearest Kronecker product decomposition
UR - http://www.scopus.com/inward/record.url?scp=85208420930&partnerID=8YFLogxK
U2 - 10.23919/eusipco63174.2024.10715294
DO - 10.23919/eusipco63174.2024.10715294
M3 - 会议稿件
AN - SCOPUS:85208420930
T3 - European Signal Processing Conference
SP - 226
EP - 230
BT - 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
T2 - 32nd European Signal Processing Conference, EUSIPCO 2024
Y2 - 26 August 2024 through 30 August 2024
ER -