一种先验收敛的次级通道在线更迭主动降噪系统
By employing an online iterative method for secondary channels that requires prior convergence in an active noise cancellation system, and utilizing a combination of microphones and speakers to iteratively converge the filter coefficients, the problem of low reliability in secondary channel modeling is solved, thereby improving the stability and adaptability of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CETHIK GRP
- Filing Date
- 2023-04-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing active noise cancellation systems have low reliability in secondary channel modeling in semi-enclosed noise source environments and are easily affected by environmental changes, leading to system instability.
An active noise reduction system with online iterative secondary channel updates is adopted. By combining a reference microphone, a secondary microphone, an error microphone, a primary speaker, and a secondary speaker, and in conjunction with a processing module, the LMS algorithm is used to iteratively converge the secondary and primary channel filter coefficients to achieve online updates.
It improves the reliability of the secondary channel and the stability of the active noise cancellation system, reduces interference from environmental fluctuations and random sounds, and broadens the application scenarios.
Smart Images
Figure CN117153138B_ABST