.png){kind=icon}
.png){kind=icon}
Return
A computational-efficient adaptive algorithm based on frequency point selection in multichannel active noise control systems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ymssp.2025.113176.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Multichannel filtered-reference least mean square (FxLMS) algorithms encounter critical implementation challenges in practical active noise control systems, particularly when expanding quiet zones in complex acoustic environments. Integration of multiple input and output signals compromises convergence rates and elevates computational complexity. Conventional normalization strategies accelerate convergence speed but incur higher computational burdens on digital signal processors. Although frequency domain processing and partial updates can alleviate these issues, they deteriorate the real-time and steady-state performance of the system. This paper proposed a computational-efficient method based on frequency point selection. The inverse contribution factors for filter updates are obtained offline to assess the coupling degree of the secondary paths using their power spectral density ratios. Upon system activation, frequency-point-selective updates guided by these factors optimize computational resources, with subsequent time-domain conversion enabling real-time filtering. The proposed algorithm achieves comparable convergence speed and steady-state performance to centralized algorithms with reduced computational complexity and maintained system robustness. Simulation results indicate average noise reductions of 6.2 dBA and 5.0 dBA for the headrest and door systems, respectively, while experimental measurements reveal reductions of 4.8 dBA and 4.0 dBA. Furthermore, in low secondary path coupling scenarios, this algorithm can achieve faster convergence than its centralized counterparts.
Keywords:
active noise control
multichannel FxLMS
computational efficiency
frequency point selection
convergence speed
Journal
IF:
8.9
Papers:
1.3W
Citations:
6.6W
Organization
No organization information available