access icon free Evolutionary and variable step size strategies for multichannel filtered-x affine projection algorithms

© The Institution of Engineering and Technology
Received 19/07/2012, Accepted 13/02/2013, Revised 07/12/2012, Published

This study is focused on the necessity to improve the performance of the affine projection (AP) algorithm for active noise control (ANC) applications. The proposed algorithms are evaluated regarding their steady-state behaviour, their convergence speed and their computational complexity. To this end, different strategies recently applied to the AP for channel identification are proposed for multichannel ANC. These strategies are based either on a variable step size, an evolving projection order, or the combination of both strategies. The developed efficient versions of the AP algorithm use the modified filtered-x structure, which exhibits faster convergence than other filtering schemes. Simulation results show that the proposed approaches exhibit better performance than the conventional AP algorithm and represent a meaningful choice for practical multichannel ANC applications.

Inspec keywords: active noise control; computational complexity; evolutionary computation; filtering theory; convergence

Other keywords: steady-state behaviour; computational complexity; evolutionary strategies; multichannel ANC applications; convergence speed; variable step size strategies; filtering schemes; AP algorithm; active noise control applications; multichannel filtered-x affine projection algorithms; channel identification

Subjects: Optimisation techniques; Computational complexity; Signal processing theory; Optimisation techniques; Filtering methods in signal processing

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