Preventing output saturation in active noise control: An output-constrained Kalman filter approach
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866910764358434816 |
|---|---|
| author | Ji, Junwei Shi, Dongyuan Wang, Boxiang Shen, Xiaoyi Luo, Zhengding Gan, Woon-Seng |
| author_facet | Ji, Junwei Shi, Dongyuan Wang, Boxiang Shen, Xiaoyi Luo, Zhengding Gan, Woon-Seng |
| contents | The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in dynamic noise cancellation scenarios. However, in environments with extremely high noise levels, the power of the control signal can exceed the system's rated output power due to hardware limitations, leading to output saturation and subsequent non-linearity. To mitigate this issue, a modified KF with an output constraint is proposed. In this approach, the disturbance treated as an measurement is re-scaled by a constraint factor, which is determined by the system's rated power, the secondary path gain, and the disturbance power. As a result, the output power of the system, i.e. the control signal, is indirectly constrained within the maximum output of the system, ensuring stability. Simulation results indicate that the proposed algorithm not only achieves rapid suppression of dynamic noise but also effectively prevents non-linearity due to output saturation, highlighting its practical significance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_18887 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Preventing output saturation in active noise control: An output-constrained Kalman filter approach Ji, Junwei Shi, Dongyuan Wang, Boxiang Shen, Xiaoyi Luo, Zhengding Gan, Woon-Seng Systems and Control Audio and Speech Processing Signal Processing The Kalman filter (KF)-based active noise control (ANC) system demonstrates superior tracking and faster convergence compared to the least mean square (LMS) method, particularly in dynamic noise cancellation scenarios. However, in environments with extremely high noise levels, the power of the control signal can exceed the system's rated output power due to hardware limitations, leading to output saturation and subsequent non-linearity. To mitigate this issue, a modified KF with an output constraint is proposed. In this approach, the disturbance treated as an measurement is re-scaled by a constraint factor, which is determined by the system's rated power, the secondary path gain, and the disturbance power. As a result, the output power of the system, i.e. the control signal, is indirectly constrained within the maximum output of the system, ensuring stability. Simulation results indicate that the proposed algorithm not only achieves rapid suppression of dynamic noise but also effectively prevents non-linearity due to output saturation, highlighting its practical significance. |
| title | Preventing output saturation in active noise control: An output-constrained Kalman filter approach |
| topic | Systems and Control Audio and Speech Processing Signal Processing |
| url | https://arxiv.org/abs/2412.18887 |