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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.
This paper describes the mathematical principle of LMS adaptive noise cancellation, designs a noise cancellation principle structure diagram based on noise reference signal, and carries out Fourier transform on the initially extracted signal, designs a reasonable coefficient threshold through line filtering, Fourier inverse The performance of the transformed signal is compared with that of the ideal signal.The simulation results show that the noise cancellation algorithm based on the noise reference signal has the advantages of low filtering order, fast convergence, good accuracy and good signal extraction. The experimental results also verify the algorithm has good efficiency and practicality.