An Active Noise Control Algorithm Simulation Results and Discussion without Secondary Path Identification Based on Kalman Filter

To illustrate the effectiveness of the proposed MECKF (model error compensatory Kalman filter) algorithm, its higher performance is demonstrated by comparing with DSLMS algorithm, and the feasibility of the model noise determination by comparison with MECKF-S-H method. In the simulation experiments compared with DSLMS algorithm, we employed stationary condition for single-tone and broadband ANC, non-stationary conditions with primary path, secondary path varying and additive noise increasing, the results show that the MECKF algorithm converge fast, has a wide noise reduction band, and performs well in either stationary or non-stationary condition with single-tone and broadband original noise.