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将递归最小二乘自适应滤波算法应用于激光多普勒测振技术中,搭建了相应的微弱振动测量装置。模拟仿真与实验中,通过与设计的切比雪夫低通滤波算法对比,结果表明:该递归最小二乘自适应滤波算法能够有效抑制随机高斯白噪声,还原出原始信号;能够对简谐振动信号实现有效滤波,并且可以还原出淹没在噪声中的低频20 Hz信号;文中算法可以去除语音噪声,使声音更加纯净,增强语音信号,以此验证了该算法在外差振动测量中的可行性。该算法简单易用、收敛性强、速度快,尤其对于随机噪声的去除比普通的低通滤波器更加有效。
Recursive least squares adaptive filtering algorithm is applied to laser Doppler vibration measurement technology, and the corresponding weak vibration measurement device is set up. The simulation results show that this recursive least squares adaptive filtering algorithm can effectively suppress random Gaussian white noise and restore the original signal, and can simulate the harmonic vibration signal The algorithm can remove the low frequency 20 Hz signal which is submerged in the noise. The algorithm can remove the speech noise, make the sound more pure and enhance the speech signal, so as to verify the feasibility of the algorithm in heterodyne vibration measurement. The algorithm is simple and easy to use, has strong convergence and fast speed, especially for removing random noise more effectively than ordinary low-pass filter.