A Partial-Update Minimax Algorithm for Practical Implementation of Multi-Channel Feedforward Active Noise Control

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.