变步长L-FxLMS算法的车内噪声主动控制研究

Research on Active Control of Vehicle Interior Noise Based on Variable Step L-FxLMS Algorithm

在固定步长前馈L-FxLMS算法的基础上,提出变步长前馈L-FxLMS算法。变步长因子通过误差信号来调整,步长因子中包含控制变步长函数的形状和范围两个参数。通过实车采集车内噪声信号并通过固定步长和变步长L-FxLMS算法对其进行控制。仿真结果表明,所提出的变步长前馈L-FxLMS算法在收敛速度和稳态性能方面均比固定步长L-FxLMS算法更好。

Based on the fixed-step feedforward L-FxLMS algorithm,a variable-step feedforward L-FxLMS algorithm is proposed.The variable step size factor is adjusted by the error signal,and the step size factor contains two parameters that control the shape and range of the variable step size function.The noise signal in the car is collected by the real car and controlled by the fixed step length and variable step length L-FxLMS algorithm.The simulation results show that the proposed variable-step feedforward L-FxLMS algorithm is better than the fixed-step L-FxLMS algorithm in terms of convergence speed and steady-state performance.