Abstract
Active noise control shows a good performance on the suppression of the low-frequency noise and hence it is widely applied. However, the traditional active noise control systems are unsatisfactory in controlling impulse noise in practical situations. A method based on the convex combination of filtered-x least mean square and filtered-x minimum kernel risk-sensitive loss adaptive algorithms (CFxLM) is presented to efficiently suppress impulse noise. Due to the simplicity of the LMS algorithm, the related filter is selected as the fast filter. Because the minimum kernel risk-sensitive loss algorithm is robust to impulse noise and can offer good convergence performance, we first apply it to the active noise control system and select the corresponding filter as the slow one. The proposed CFxLM algorithm can achieve both fast convergence and good noise reduction and any prior knowledge of reference noise is unnecessary. Extensive simulations demonstrate the superior noise reduction capability of the developed CFxLM-based active noise control system in controlling impulse noise.
Highlights
Active noise control (ANC) plays an increasingly important role in noise reduction (NR)
The validity of convex combination has been verified in the above mentioned ANC systems, so we explore a convex combination to the active impulse noise control (AINC) system for the first time in this paper
To ensure the ANC system achieving satisfactory NR in impulse noise environment, we propose the CFxLM algorithm based on convex combination
Summary
Active noise control (ANC) plays an increasingly important role in noise reduction (NR). Compared with classical passive noise control (PNC), ANC can effectively suppress low-frequency noise[1] and has been applied in aircraft cockpits,[2] road NR,[3] pipeline NR,[4] and other fields. The single-channel feedforward ANC system depicted in Benefiting from the simplicity and ease of implementation, filtered-x least mean square (FxLMS) algorithm (Figure 1(b)) has been used in many ANC systems.[5] Usually, the reference noise is assumed as a Gaussian noise. The acoustical signals in many practical situations exhibit the impulse characteristics, such as equipment noise of pile driver and life-saving device,[6] and many man-made noise.[7] The standard symmetric alpha stable (SaS) uðtÞ 1⁄4
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