Reasearch On The Algorithm Of The Double-channel Adaptive Active Noise Control System And Experiment

Adaptive active noise control system can reduce the noise on the target region, however, people are often not satisfied with the effect of a silencer region. Multi-channels adaptive active noise control systems are commonly applied in the field of noise control to expand the spatial extend and enhance the reduction of sound. However, it is found that the calculated complexity of the adaptive algorithm will be increased greatly when the number of channels is increased, which causes serious difficulty to the real-time realization of the multi-channels.In this thesis, Filtered-X LMS(FXLMS) algorithm is applied in the double-channels adaptive active noise control system, and the system performance is studied. Firstly, FXLMS algorithm is studied and the performances are analyzed, the calculation steps of the algorithm are given. Second, the factors influencing the algorithm are studied with the help of computer simulation, specified the factors influencing system convergence, stability and the ability to bring down noise are specified. Third, an experimental model of double-channel adaptive active noise control system is designed, the secondary path is measured and the method is given, the algorithm software based on the High-speed Digital Signal Processor(DSP) is compiled. Finally, the effect of the double-channel adaptive active noise control system is texted and the questions in the experiment are analized.