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PeriodicalsRobotics & Automation

Adaptive Diagonal-Channel Bilinear Filters for Nonlinear Active Noise Control

Li Tan·Jean Jiang·Liangmo Wang
International Journal of Control Science and Engineering2014

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Abstract & Overview

This paper proposes a novel adaptive bilinear filter with a diagonal-channel structure for nonlinear active noise control. Using the diagonal-channel structure, the diagonal-channel bilinear filtered-X least mean square (DBFXLMS) and recursive least square (DBFXRLS) algorithms are derived. In order to reduce the computational load for DBFXRLS algorithm, the DBFXRLS algorithm with a sequential channel update (DBFXRLS-SEQ) is proposed. Computational complexity for each algorithm is analyzed. Computer simulations demonstrate the control performance improvement of the proposed algorithms.

Cite this record

Li Tan, Jean Jiang, Liangmo Wang (2014). Adaptive Diagonal-Channel Bilinear Filters for Nonlinear Active Noise Control. International Journal of Control Science and Engineering, 4(2), 27–35. https://library.shubhaarti.in/content/8755e05e-00b9-4dfd-96b0-7bfb5da0f312

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Tan, L., Jiang, J., & Wang, L. (2014). Adaptive Diagonal-Channel Bilinear Filters for Nonlinear Active Noise Control. International Journal of Control Science and Engineering, 4(2), 27–35. https://library.shubhaarti.in/content/8755e05e-00b9-4dfd-96b0-7bfb5da0f312
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