A partial-update minimax algorithm for practical implementation of multi-channel feedforward active noise control

Shi, Chuang and Kajikawa, Yoshinobu (2018) A partial-update minimax algorithm for practical implementation of multi-channel feedforward active noise control. In 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE. pp. 11-15 . (doi:10.1109/IWAENC.2018.8521376).

Record type: Conference or Workshop Item (Paper)

Abstract

In the implementation of a multi-channel feedforward active noise control (ANC) system, the standard FxLMS algorithm demands too much computational power to be real-time processed by a low-cost digital processor. Therefore, various algorithms have been proposed to reduce their computational complexity by modifying the cost function and introducing the partial update (P-U). This paper proposes a new P-U minimax algorithm, which minimizes the uniform-norm instead of the 2-norm of the error signals and updates the filtered reference signals partially. The P- U minimax algorithm is compared with existing algorithms based on an experimental setup of a case (1, 4, 8) ANC system. The proposed P-U minimax algorithm is validated to be efficient and outperform the scanning error and mixed-error algorithms with the same degree of computational complexity.

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