MULTI-INPUT MULTI-OUTPUT FAST QR DECOMPOSITION ALGORITHMFOR ACTIVE NOISE CONTROL (original) (raw)

Fast QR-decomposition based recursive least-squares (FQRD- RLS) algorithms are known for their good numerical properties and low computational complexity. However, they have so far not been used in active noise control (ANC) because the general implementa- tion would require multiple-input multiple-output (MIMO) FQRD- RLS algorithms, which are currently not available in the technical literature. Another reason is the lack of an explicit weight vector update equation in the FQRD-RLS algorithms, which prevents their use in structures where a copy of the coefficients is filtering a dif- ferent input sequence than that of the adaptive filter, e.g., the modi- fied filtered-x ANC (MFX-ANC) structure. In this paper, we der ive a MIMO-FQRD-RLS algorithm based on backward prediction er- ror updates. The proposed algorithm is applied to a multichannel MFX-ANC structure. We show how to avoid the explicit use of the weight vector in the MFX-ANC structure by reproducing the filtered-x signal fro...

An adaptive algorithms comparison for real multichannel active noise control

2004 12th European Signal Processing Conference, 2004

A comparative study of the multichannel Affine Projection (AP), the Fast Transversal Filter (FTF), the filtered-X LMS (FXLMS) and the Recursive Least Squares (RLS) algorithms is presented for active noise control (ANC) systems. This study is based on simulations using real data and laboratory experiments, and is focused on: their computational cost, their convergence properties, their stability and their ability to create quiet zones around listener ears. The performance of the AP algorithm in the real system suggests its use in ANC systems as an alternative to the classical multichannel FXLMS since it provides meaningful attenuation levels, lower convergence time and similar computational cost.

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