Volume 39, Number 5, October 2021
|Page(s)||937 - 944|
|Published online||14 December 2021|
Noise control with Kalman filter for active headrest
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
A control strategy with Kalman filter (KF) is proposed for active noise control of virtual error signal for active headset. Comparing with the gradient based algorithm, KF algorithm has faster convergence speed and better convergence performance. In this paper, the state equation of the system is established on the basis of virtual error sensing, and only the weight coefficients of the control filter are considered in the state variables. In order to ensure the convergence performance of the algorithm, an online updating strategy of KF parameters is proposed. The fast-array method is also introduced into the algorithm to reduce the computation. The simulation results show that the present strategy can improve the convergence speed and effectively reduce the noise signal at the virtual error point.
Key words: active noise control / Kalman filter / active headset
关键字 : 有源噪声控制 / 卡尔曼滤波 / 有源头靠
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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