access icon free Frequency-domain adaptive algorithm for improving the active noise control performance

A new block adaptive algorithm for active noise control systems is proposed. The proposed approach uses two adaptive filters, where the first one is used for identification of the unknown system. The second one is adapted using the coefficient of the first filter, with the purpose to minimise the output error. To reduce the computational complexity, implementation of new algorithm in the frequency domain is proposed. The analysis of this approach and simulation results show that the new algorithm exhibits faster convergence speed and smaller steady-state error, as compared with the filtered-x least mean square and its modifications.

Inspec keywords: adaptive filters; frequency-domain analysis; active noise control

Other keywords: block adaptive algorithm; frequency-domain adaptive algorithm; steady-state error; convergence speed; filtered-x least mean square; computational complexity; adaptive filters; active noise control performance improvement

Subjects: Mathematical analysis; Other nonelectric variables control

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2014.0182
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