Study on Noise Analysis and Frequency Estimation in Aircraft Laser Speed Measurement Technology
Abstract
Aiming at the problem of accuracy degradation of laser velocimetry signals in high-speed flight scenarios due to complex noise interference, this study constructs a frequency estimation method based on the noise feature analysis of Butterworth filter and multi-domain spectrum fusion. Through the quantitative analysis of noise mean, variance and power spectral density, combined with the joint spectral analysis of Fourier Transform (FT) and Discrete Fourier Transform (DFT), the high-precision frequency estimation of noise-containing signals is achieved in MATLAB simulation environment, and the estimated frequency is 40999836.00Hz, with the relative error less than 0.01%. The proposed algorithm improves the signal-to-noise ratio by more than 35% while maintaining the signal integrity, which provides a reliable theoretical and methodological support for the noise suppression and parameter measurement of the laser speed measurement system under the high dynamic flight environment.
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