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机构地区:[1]复旦大学信息科学与工程学院,上海200433
出 处:《微型电脑应用》2017年第2期41-45,70,共6页Microcomputer Applications
摘 要:主要研究主动降噪系统中的噪声抑制算法。在噪声抑制算法中,需要准确地估计反馈路径的传输函数。该反馈路径随时间变化,通常采用引入辅助噪声的方法来估计其传输函数。辅助噪声功率越大,系统收敛越快,反之,收敛越慢。然而辅助噪声功率越大,系统的残差噪声功率也会随之增大,从而降低了系统的降噪性能。提出了一种基于自适应辅助噪声功率控制的噪声抑制算法,该算法根据系统的收敛状态自适应调节辅助噪声功率,加快了系统的收敛速度,同时降低了残差噪声功率,提高了系统降噪性能。仿真结果表明,与传统算法相比较,提出的算法具有更快的收敛速度和更优良的降噪性能。This paper studies the noise cancelling algorithm in the active noise control system. It is necessary to estimate the transfer function of the feedback path accurately in noise cancelling algorithms. The feedback path is time-varying, hence auxil- iary noise is usually introduced to estimate the transfer function. The larger the power of auxiliary noise is, the faster the sys- tem converges, and vice versa. However, large power of auxiliary noise results in large power of the residual noise, which de- grades the noise reduction performance of the system. This paper proposes an adaptive auxiliary noise power scheduling algo- rithm. The power of the auxiliary noise is scheduled according to the system convergence state. The algorithm proposed in this paper speeds up the system convergence and improves the noise reduction performance. The simulation results verify the effec- tiveness of the proposed algorithm.
关 键 词:主动降噪 反馈路径 干扰抑制 自适应噪声功率控制
分 类 号:TN911.4[电子电信—通信与信息系统]
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