Evolutionary and variable step size strategies for multichannel filtered‐x affine projection algorithms. Issue 6 (1st August 2013)

• Record Type: Journal Article
• Authors: Gonzalez, Alberto; Albu, Felix; Ferrer, Miguel; de Diego, Maria
• Is Part Of: IET signal processing. Volume 7:Issue 6(2013)
• Page Start: 471
• Page End: 476
• Publication Date: 2013-08-01
• Subjects: active noise control -- computational complexity -- convergence -- evolutionary computation -- filtering theory; multichannel ANC applications -- filtering schemes -- AP algorithm -- channel identification -- computational complexity -- convergence speed -- steady‐state behaviour -- active noise control applications -- multichannel filtered‐x affine projection algorithms -- evolutionary strategies -- variable step size strategies; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2012.0213
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract : 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.