Doppler signal processing based on mixed convolutional window six spectral lines
In the process of signal processing in the laser Doppler velocity measurement system,the fast Fourier trans-form is usually used to extract the Doppler frequency shift and calculate the motion speed of the measured object.Due to the influence of spectrum leakage and barrier effect,the measurement accuracy can be reduced.In this paper,a hy-brid convolution window function with a four-term Nuttall window and a five-term Rife Vincent window combined with an improved six spectral line interpolation algorithm is proposed to reduce the effects of spectrum leakage and barrier effects,so as to improve the accuracy of laser Doppler signal processing.A dual-beam backscattering differential laser Doppler velocimetry platform is built,and the minimum relative error measured with this hybrid convolution window with the addition of Gaussian white noise with RSN=-10 dB is 0.0027％by simulation and real measurements,whereas the minimum relative errors measured using the two single window functions are 0.0103％and 0.0461％,respectively.Thus,the effectiveness of this method is verified.
fast Fourier transformspectrum leakagefence effectmixed convolutional windowhexagram interpolation
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