摘要
提出在自适应逆控制建模中,用卡尔曼滤波代替LMS滤波,并对比研究了LMS、RLS、KALMAN三种算法。提出基于滤波-U卡尔曼的自适应逆控制,并将其应用于有源噪声控制中,取得了良好的降噪效果。
The idea that using KALMAN filter to replace the LMS filter in modeling of self-adaptive inverse control is put forward, and the contrast study on three kinds of algorithm, including LMS, RLS, KALMAN, is carried out. The self-adaptive inverse control based on fihered-U KALMAN is proposed, and is applied to active noise control. A good result of denoising is achieved.
出处
《噪声与振动控制》
CSCD
北大核心
2008年第3期96-99,112,共5页
Noise and Vibration Control
关键词
声学
自适应逆控制
卡尔曼滤波
有源噪声控制
acoustics
self-adaptive inverse control
KALMAN filter
active noise control
