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提出一个以微机为核心的自适应有源消声系统，该系统能为研究不同系统结构的有源消声提供一个灵活的实验平台。文中采用ＬＭＳ算法为自适应滤波控制器，能自动补偿背景噪声、环境参数和电声参数变化对消声效果的影响，能在较宽频带内取得显著的消声量。实验结果表明：在双次级源的自由空间布放方式下，该系统对５０～４００Ｈｚ范围内的单频、窄带随机噪声取得的最大消声量在４０ｄＢ以上。
A computer-based adaptive active noise reduction system is proposed. The system can provide a flexible experimental platform for studying the active noise cancellation of different system structures. In this paper, LMS algorithm is used as adaptive filter controller, which can automatically compensate for the impact of background noise, environmental parameters and electroacoustic parameters on the noise reduction effect, and can achieve significant noise reduction in a wider frequency band. The experimental results show that the system achieves a maximum muffling of more than 40 dB for single-frequency and narrow-band random noise in the range of 50-400 Hz under the free-space deployment of double-level sources.