Active Noise Control for Vehicle Interior Noise Using Variable Incremental Step LMS Algorithm

By analyzing the noise signal sample inside the railway vehicle,the plain LMS algorithm and the LMS algorithm with variable-incremental-steps were applied respectively to update the weight vectors in the adaptive filtering based on the steepest descent algorithm.The relation between step factor μ(n) and error signal e(n) is a sinusoidal function in the variable-step LMS algorithm.The adaptive filter was used for active internal noise control for the vehicle.Result shows that the proposed variable-step LMS algorithm can overcome the inherent contradiction in the plain LMS algorithm between algorithm convergence speed and steady-state error,and has faster algorithm convergence speed and less steady-state error simultaneously.