TY - GEN
T1 - ROBUST PRESSURE MATCHING WITH ATF PERTURBATION CONSTRAINTS FOR SOUND FIELD CONTROL
AU - Zhang, Junqing
AU - Shi, Liming
AU - Christensen, Mads G.
AU - Zhang, Wen
AU - Zhang, Lijun
AU - Chen, Jingdong
N1 - Publisher Copyright:
© 2022 IEEE
PY - 2022
Y1 - 2022
N2 - Sound field control systems deployed in room acoustic environments require knowing the acoustic channel impulse responses between the loudspeakers and matching microphones, which are challenging to estimate accurately due to perturbations caused by such factors as temperature changes and sensors' position mismatches. To deal with this issue, a robust pressure matching algorithm is developed in this work where a perturbation term of the acoustic transfer function (ATF) is modeled as a Gaussian process, based on which an uncertainty constraint is applied to limit the impact of perturbation on pressure matching. This constrained problem is formulated as one of biconvex optimization, and a coordinate descent algorithm is adopted to estimate the optimal control filter. Simulations are performed and results show that the proposed method is able to achieve more accurate control as compared to the standard pressure matching algorithm in the presence of ATF perturbations.
AB - Sound field control systems deployed in room acoustic environments require knowing the acoustic channel impulse responses between the loudspeakers and matching microphones, which are challenging to estimate accurately due to perturbations caused by such factors as temperature changes and sensors' position mismatches. To deal with this issue, a robust pressure matching algorithm is developed in this work where a perturbation term of the acoustic transfer function (ATF) is modeled as a Gaussian process, based on which an uncertainty constraint is applied to limit the impact of perturbation on pressure matching. This constrained problem is formulated as one of biconvex optimization, and a coordinate descent algorithm is adopted to estimate the optimal control filter. Simulations are performed and results show that the proposed method is able to achieve more accurate control as compared to the standard pressure matching algorithm in the presence of ATF perturbations.
KW - biconvex optimization
KW - personal sound zones
KW - pressure matching
KW - robustness
KW - sound field control
UR - https://www.scopus.com/pages/publications/85131244520
U2 - 10.1109/ICASSP43922.2022.9746809
DO - 10.1109/ICASSP43922.2022.9746809
M3 - 会议稿件
AN - SCOPUS:85131244520
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 8712
EP - 8716
BT - 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022
Y2 - 22 May 2022 through 27 May 2022
ER -