【摘要】 针对传统入耳式主动降噪耳机在应对高低频混合噪声的复杂工况，仅依赖参考麦克风采集主噪声源进行降噪而忽略干扰噪声对误差麦克风的影响，使系统降噪性能显著降低。提出了一种对双通道FxLMS算法的优化方案。通过在误差麦克风处构建误差分离系统，将其与反馈FxLMS算法结合，实现了对干扰性噪声的抑制。理论分析与实验表明，在250～500 Hz混频干扰噪声场景下，系统主动降噪性能达到38 dB；噪声频谱扩展至165～600 Hz时，降噪量为19 dB；针对高频窄带干扰噪声，降噪量为30 dB。改进算法通过多维噪声分离和补偿机制，显著提升复合噪声环境下主动噪声控制的鲁棒性。更多还原

【Abstract】 In response to the technical limitation of traditional in-ear active noise cancellation headphones, which only rely on the reference microphone to collect the main noise source for noise reduction while ignoring the impact of interfering noise on the error microphone, resulting in a significant reduction in system noise reduction performance when dealing with complex working conditions of mixed high and low-frequency noise, this paper proposes an optimized solution based on the dual-channel FxLMS algorithm. By constructing an error separation subsystem at the error microphone and combining it with the feedback FxLMS algorithm, the interference noise is suppressed. Theoretical analysis and experiments show that in the 250～500 Hz mixed-frequency interference noise scenario, the system’s active noise reduction performance reaches 38 dB. When the noise spectrum expands to 165～600 Hz, the noise reduction is 19 dB. For high-frequency narrowband interference noise, the noise reduction is 30 dB. The improved algorithm significantly enhances the robustness of active noise control in complex noise environments through a multi-dimensional noise separation and compensation mechanism.更多还原