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A simplified subband ANC algorithm without secondary path modeling

journal contribution
posted on 2024-11-02, 01:00 authored by Min Gao, Jing Lu, Xiaojun Qiu
Active noise control algorithms without secondary path modeling are very appealing because they can effectively overcome the problems caused by imperfect secondary path model. For broadband noise control, subband structures have been adopted in these kinds of algorithms, where the full-band adaptive filter coefficients are obtained from subband filter coefficients with weight transformation. However, the usually used two-direction search method suffers from slow convergence if the secondary path phase is close to ± 90°. To deal with this problem, a four-direction search method has been proposed in frequency domain, which is sometimes too complicated for practical applications. In this paper, a simplified algorithm is proposed to reduce the implementation complexity. In the proposed algorithm, the delay of the secondary path is estimated first, and then the estimated delay is used in the delay compensation to reduce the number of subbands. Two reference signals are generated in each subband and two update directions are used. Only one subband reference signal and one update direction are selected to approximate the phase response of the residual secondary path, and then the full-band adaptive controller coefficients are adjusted directly in time domain with them without the need of further weight transformation. Just like those existing subband algorithms, the simplified algorithm can obtain similar steady-state noise reduction performance as that of the FxLMS algorithm but without secondary path modeling. Simulations and experiments are carried out to demonstrate the feasibility of the proposed algorithm.

History

Journal

IEEE/ACM Transactions on Audio Speech and Language Processing

Volume

24

Issue

7

Start page

1164

End page

1174

Total pages

11

Publisher

Institute of Electrical and Electronics Engineers

Place published

United States

Language

English

Copyright

© 2016 IEEE

Former Identifier

2006067427

Esploro creation date

2020-06-22

Fedora creation date

2016-11-17

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