Active noise control using STF for time-vary delay estimation in secondary path based on DFxLMS

This article is based on a delay filter-x least mean square (DFxLMS) algorithm which considers secondary path as a delay and uses strong tracking filter (STF) algorithm to estimate the time delay parameter, in order to solve the noise elimination problem in active noise control (ANC) system. The key point of the proposed method is that the delay of secondary path can be seen as a state which can be estimated by STF. The proposed method take into account the balance among the computation time, the real-time performance and the system robustness. At the same time, it also has a certain satisfactory noise reduction effect. Simulation results in single channel ANC system will be presented, showing the feasibility of the proposed algorithm. The recorded data from real sound field in train compartment is used in multichannel ANC system simulation, to further prove the effectiveness of the method in practice.