Active Noise Control for Automobiles Based on Least Squares Algorithm
| Autor: | Shuichi Adachi, Hisashi Sano, Hideki Kasuya |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Recursive least squares filter
Engineering business.industry Mechanical Engineering Accelerometer Industrial and Manufacturing Engineering Computer Science::Other Least mean squares filter Noise Computer Science::Sound Mechanics of Materials Control theory Autocorrelation matrix Convergence (routing) Coherence (signal processing) business Active noise control |
| Zdroj: | TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 61:78-84 |
| ISSN: | 1884-8354 0387-5024 |
| DOI: | 10.1299/kikaic.61.78 |
| Popis: | The purpose of this paper is to propose an algorithm for active noise control (ANC) using the recursive least squares (RLS) algorithm. As a main algorithm for ANC, the multiple error filtered-x LMS (Mefx-LMS) algorithm has been used for its simplicity. However, the Mefx-LMS algorithm has a Problem of the convergence speed in the case of the broadband noise as the road noise which is one of the passenger compartment noises in a car running on rough roads. This problem is caused by the ill-conditioning of the input autocorrelation matrix. In the ANC for the road noise, many accelerometers used as the input signals are necessary for a high multiple coherence. Using many input signals also causes a cross-correlation among the input signals. The ill-conditioning is mainly brouht about by the cross-correlation. In order to solve this problem, the Mefx-RLS algorithm is considered. By computer simulations, the RLS algorithm has proved to be more effective than the LMS algorithm in the convergence speed for cross-correlated input signals. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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