摘要
噪声频率的增大,使传统的噪声污染抑制方法效果变差,因此设计一种基于Sigmoid-LMS算法的城市交通噪声污染抑制方法。利用噪声滤波器分析噪声频谱,得到噪声的特性,并以此特性模拟主动降噪声场的有限元,确定主动降噪声场的分布规律和主动降噪的最佳摆放位置,最后得到基于Sigmoid-LMS算法变化的步长因子,完成基于Sigmoid-LMS算法的城市交通噪声污染抑制方法的研究。噪声频率从100 Hz增加到500 Hz的过程中,设计方法检测到的信号强度平均值比传统方法减小22 dB,说明设计的方法在噪声频率增大时的抑制效果更加明显。
With the increase of noise frequency,the effect of the traditional noise pollution control method is lowered.So a method of urban traffic noise pollution control based on sigmoid LMS algorithm is designed.Using the noise filter to analyze the noise spectrum,the paper studied the characteristics of the noise,and simulate the finite element of the active noise reduction field,determine the distribution rule of the active noise reduction field and the optimal location of the active noise reduction.It finally gets the step factor based on the change of sigmoid LMS algorithm,and complete the research of the urban traffic noise pollution control method based on sigmoid LMS algorithm.The experimental results show that in the process of noise frequency increasing from 100Hz to 500Hz,the average signal strength detected by the design method is 22 dB less than that detected by the traditional method,which shows that the design method has a more obvious suppression effect when the noise frequency increases.
作者
李皑菁
侯瑞
Li Aijing;Hou Rui(Tianjin Research Institute for Water Transport Engineering, M.O.T, Tianjin 300456, China;Environmental Technology Development of TIWTE(Tianjin)Co., Ltd., Tianjin 300456, China)
出处
《环境科学与管理》
CAS
2020年第3期116-120,共5页
Environmental Science and Management
关键词
SIGMOID函数
主动降噪声场
最小均方差
噪声污染抑制
sigmoid function
active noise reduction sound field
minimum mean variance
noise pollution suppression
