Abstract
The noise contained in laser Doppler signal has a negative impact on signal processing of laser Doppler velocimetry (LDV). In order to reduce the noise and enhance the precision of signal processing, denoising methods based on wavelet layering are proposed. High frequency coefficient zeroing method and wavelet threshold denoising method were adopted for noise reduction after the wavelet layering of LDV signals. Processing results indicate that, signal to noise ratio (SNR) and root mean square error (RMSE) of simulated signals in low and high frequency ranges are satisfactory for both two kinds of approach. Overally speaking, high frequency coefficient zeroing has better performance than wavelet threshold denoising using heursure, sqtwolog, rigrsure and minimaxi rules. For measured signals obtained from double-beam and double-scattering LDV system built in laboratory, the minimum relative error of high frequency coefficient zeroing reaches only 0.087%. As shown in the processing and analysis of simulated and experimental signals, denoising methods based on wavelet layering have ability to restrain the noise in laser Doppler signal and improve the precision of signal processing.
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