The active control algorithm for multiple reference signals is one of the research hotspots in the control of environmental noise with multiple noise sources.This paper designs a Sigmoid weighted filtered-x least mean square algorithm,which does not need to calculate the correlation between the reference signal and the error signal in advance for the selection of the reference signals.Self adjusting parameters are introduced into the reference signal to reduce the impact of irrelevant signals on the system.The comparison of simulation experiments has verified two advantages of the algorithm:firstly,the algorithm can be seen as adopting a variable step size strategy for each reference signal,and secondly,the algorithm can adjust the weights of the reference signals based on the correlation between the reference signal and the error signal,thus achieves adaptive pruning of the reference signals to reduce system overhead.
关键词
主动噪声控制/FxLMS算法/车内噪声/多参考信号
Key words
Active noise control/Filtered-x LMS algorithm/Car noise/Multiple reference signals
维普
万方数据