基于噪声先验知识的LMS自适应噪声对消法的水声微弱信号提取

讲述了LMS自适应噪声对消法的数学原理,设计了一种基于噪声参考信号的噪声对消原理结构图,并对初步提取的信号做Fourier变换,设计合理的系数阈值经行滤波,Fourier逆变换的信号与理想信号做性能对比.仿真实验表明:基于噪声参考信号的噪声对消算法呈现出滤波阶数少,收敛速度快,精度良好,提取信号效果良好等优点.汾河二库湖试测试实验结果也验证了该算法具有良好的高效性和实用性.

The Weak Underwater Acoustic Signal Extraction Based on Knowable Noise Signal of LMS Adaptive Noise Cancellation

Simply describes the mathematical principle of LMS adaptive noise Cancellation,designs a principle chart of adaptive noise cancelling based on noise reference signal and the signal of primary extract Fourier transform,design the reasonable coefficient threshold by filtering,compare the performance of inverse Fourier transform of signal and the ideal signal,simulation results show that:based on knowable noise signal of LMS adaptive noise Cancellation algorithm presents the filtering order less,fast convergence,good precision and extract signal effect etc advantages.Fenhe second lake trial test experiment result also shows that this algorithm has good efficiency and practicability.