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Hyperbolic Secant Function Algorithms for Nonlinear Active Noise Control models of Kernel Mapping Types
In the case of nonlinear characteristics of noise signals and control systems, the control effect of linear active noise control(ANC) algorithms will be degraded. The kernel adaptive filters (KAFs) can better solve the nonlinear problem by mapping the filtered reference signal to the high dimensiona...
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| creator | Zhu, Yingying Zhao, Haiquan Song, Pucha |
| description | In the case of nonlinear characteristics of noise signals and control systems, the control effect of linear active noise control(ANC) algorithms will be degraded. The kernel adaptive filters (KAFs) can better solve the nonlinear problem by mapping the filtered reference signal to the high dimensional reproductive kernel Hilbert feature space (RKHFS). However, the operations of kernel function require incremental costs with mass input data. To solve this problems, the random Fourier filters (RFFs) achieves nonlinear approximation by mapping the filtered reference signal to the random Fourier feature space (RFFS). This article briefly reviews these two models, and proposes the K-FxHSF and RFF-FxHSF algorithms for impulsive noise environment. Simulation experiments show that the proposed algorithm can achieve ideal performance in the case of nonlinear noise paths. |
| doi_str_mv | 10.1109/ICIEA51954.2021.9516266 |
| format | conference_proceeding |
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| identifier | EISSN: 2158-2297 |
| ispartof | 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA), 2021, p.1211-1214 |
| issn | 2158-2297 |
| language | eng |
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| source | IEEE Xplore All Conference Series |
| subjects | active noise control Adaptive filters Aerospace electronics Approximation algorithms Conferences Control systems Filtering algorithms hyperbolic secant function Industrial electronics kernel adaptive filter random Fourier filter |
| title | Hyperbolic Secant Function Algorithms for Nonlinear Active Noise Control models of Kernel Mapping Types |
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